******************************************************************************* Thu Jun 20 16:56:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Jun 20 16:57:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0197555792e-06 0.00e+00 2.46e-04 1.000000e-04 4.000000e-01 10 3.1713181250e-07 -2.87e-01 2.46e-11 -1.172572e-05 6.225951e-01 After 10 iterations the fit converged. final sum of squares of residuals : 3.17132e-07 rel. change during last iteration : -2.86969e-06 degrees of freedom (FIT_NDF) : 132 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.90154e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40251e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.17257e-05 +/- 6.031e-06 (51.43%) b = 0.622595 +/- 0.04395 (7.058%) correlation matrix of the fit parameters: a b a 1.000 b 0.065 1.000 ******************************************************************************* Thu Jun 20 16:57:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1713181250e-07 0.00e+00 4.29e-05 -1.172572e-05 6.225951e-01 1 3.1713181124e-07 -3.98e-04 4.29e-06 -1.172774e-05 6.223383e-01 After 1 iterations the fit converged. final sum of squares of residuals : 3.17132e-07 rel. change during last iteration : -3.9782e-09 degrees of freedom (FIT_NDF) : 132 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.90154e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.40251e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.17277e-05 +/- 6.032e-06 (51.43%) b = 0.622338 +/- 0.04391 (7.056%) correlation matrix of the fit parameters: a b a 1.000 b 0.065 1.000 ******************************************************************************* Thu Jun 20 16:58:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c 0 3.1713181124e-07 0.00e+00 3.50e-05 -1.172774e-05 6.223383e-01 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jun 20 16:58:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.1713178995e-07 0.00e+00 3.50e-05 -1.172763e-05 6.224116e-01 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jun 20 16:58:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.1713178995e-07 0.00e+00 3.50e-05 -1.172763e-05 6.224116e-01 1.002001e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jun 20 16:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.1712758571e-07 0.00e+00 3.42e-05 -1.172763e-05 6.224116e-01 2.000000e-01 4 3.1693227824e-07 -8.72e-01 3.42e-07 -1.198410e-05 6.087897e-01 2.282891e-01 After 4 iterations the fit converged. final sum of squares of residuals : 3.16932e-07 rel. change during last iteration : -8.71695e-06 degrees of freedom (FIT_NDF) : 131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.91867e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 2.41933e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -1.19841e-05 +/- 6.157e-06 (51.38%) b = 0.60879 +/- 0.08535 (14.02%) c = 0.228289 +/- 0.9819 (430.1%) correlation matrix of the fit parameters: a b c a 1.000 b 0.127 1.000 c -0.108 -0.864 1.000 ******************************************************************************* Thu Jun 20 16:58:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c) fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9121789840e-07 0.00e+00 7.09e-05 -1.198410e-05 1.217579e+00 2.282891e-01 22 1.1646374839e-08 -9.94e-11 7.09e+00 -6.910523e-05 1.440904e+00 -1.733480e+00 After 22 iterations the fit converged. final sum of squares of residuals : 1.16464e-08 rel. change during last iteration : -9.94346e-16 degrees of freedom (FIT_NDF) : 131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.42887e-06 variance of residuals (reduced chisquare) = WSSR/ndf : 8.89036e-11 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -6.91052e-05 +/- 1.164e-06 (1.685%) b = 1.4409 +/- 0.002815 (0.1954%) c = -1.73348 +/- 0.03295 (1.901%) correlation matrix of the fit parameters: a b c a 1.000 b -0.065 1.000 c 0.060 -0.865 1.000 ******************************************************************************* Thu Jun 20 16:59:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 4.9886384219e-08 0.00e+00 4.18e-04 -6.910523e-05 1.440904e+00 -1.733480e+00 -1.000000e-05 6 1.3676155629e-16 -3.38e-07 4.18e-10 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 After 6 iterations the fit converged. final sum of squares of residuals : 1.36762e-16 rel. change during last iteration : -3.37563e-12 degrees of freedom (FIT_NDF) : 130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02568e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05201e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.03421e-05 +/- 1.271e-10 (0.0001807%) b = 1.43934 +/- 3.016e-07 (2.095e-05%) c = -1.72044 +/- 3.526e-06 (0.000205%) d = 9.37673e-06 +/- 8.912e-11 (0.0009504%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.062 1.000 c 0.057 -0.865 1.000 d -0.092 -0.047 0.033 1.000 ******************************************************************************* Thu Jun 20 16:59:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.3676155629e-16 0.00e+00 4.91e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 1 1.3676155629e-16 -2.99e-07 4.91e-05 -7.034209e-05 1.439342e+00 -1.720436e+00 After 1 iterations the fit converged. final sum of squares of residuals : 1.36762e-16 rel. change during last iteration : -2.99349e-12 degrees of freedom (FIT_NDF) : 131 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02175e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04398e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.03421e-05 +/- 1.261e-10 (0.0001793%) b = 1.43934 +/- 3.001e-07 (2.085e-05%) c = -1.72044 +/- 3.511e-06 (0.0002041%) correlation matrix of the fit parameters: a b c a 1.000 b -0.067 1.000 c 0.060 -0.865 1.000 ******************************************************************************* Thu Jun 20 16:59:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c e 0 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Thu Jun 20 16:59:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 1 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 After 1 iterations the fit converged. final sum of squares of residuals : 1.36762e-16 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02568e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05201e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.03421e-05 +/- 1.271e-10 (0.0001807%) b = 1.43934 +/- 3.016e-07 (2.095e-05%) c = -1.72044 +/- 3.526e-06 (0.000205%) d = 9.37673e-06 +/- 8.912e-11 (0.0009504%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.062 1.000 c 0.057 -0.865 1.000 d -0.092 -0.047 0.033 1.000 ******************************************************************************* Thu Jun 20 16:59:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 12 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 1 1.3676155629e-16 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 After 1 iterations the fit converged. final sum of squares of residuals : 1.36762e-16 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02568e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.05201e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.03421e-05 +/- 1.271e-10 (0.0001807%) b = 1.43934 +/- 3.016e-07 (2.095e-05%) c = -1.72044 +/- 3.526e-06 (0.000205%) d = 9.37673e-06 +/- 8.912e-11 (0.0009504%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.062 1.000 c 0.057 -0.865 1.000 d -0.092 -0.047 0.033 1.000 ******************************************************************************* Thu Jun 20 16:59:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == 11 ? $11:1/0) format = x:z x range restricted to [0.00000 : 20.0000] #datapoints = 134 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*cos(b*x+c)+d fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.0430789098e-08 0.00e+00 4.25e-04 -7.034209e-05 1.439342e+00 -1.720436e+00 9.376728e-06 5 1.2978544215e-16 -5.23e-03 4.25e-09 -7.323537e-05 1.439342e+00 -1.888507e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 1.29785e-16 rel. change during last iteration : -5.22733e-08 degrees of freedom (FIT_NDF) : 130 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.99174e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 9.9835e-19 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -7.32354e-05 +/- 1.239e-10 (0.0001692%) b = 1.43934 +/- 2.818e-07 (1.958e-05%) c = -1.88851 +/- 3.268e-06 (0.0001731%) d = 9.37675e-06 +/- 8.682e-11 (0.0009259%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.064 1.000 c 0.055 -0.863 1.000 d -0.093 -0.048 0.043 1.000 ******************************************************************************* Thu Jun 20 17:10:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Thu Jun 20 17:11:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.7405657458e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 10 6.4901875513e-17 -3.26e-07 2.23e-04 -8.443893e-05 1.439342e+00 -9.678755e-01 9.376740e-06 After 10 iterations the fit converged. final sum of squares of residuals : 6.49019e-17 rel. change during last iteration : -3.26277e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -8.44389e-05 +/- 1.724e-10 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 9.37674e-06 +/- 1.279e-10 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:11:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-09 0.00e+00 2.36e-04 -8.443893e-05 1.439342e+00 -9.678755e-01 9.376740e-06 5 6.4938115173e-17 -2.17e-03 2.36e-09 -9.393777e-05 1.439342e+00 -8.344413e-01 9.376738e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-17 rel. change during last iteration : -2.1665e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -9.39378e-05 +/- 1.723e-10 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 9.37674e-06 +/- 1.28e-10 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:11:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-09 0.00e+00 2.64e-04 -9.393777e-05 1.439342e+00 -8.344413e-01 9.376738e-06 5 6.4953580713e-17 -1.89e-03 2.64e-09 -8.576608e-05 1.439342e+00 -9.477245e-01 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-17 rel. change during last iteration : -1.88567e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -8.57661e-05 +/- 1.724e-10 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 9.37674e-06 +/- 1.28e-10 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:11:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-09 0.00e+00 2.41e-04 -8.576608e-05 1.439342e+00 -9.477245e-01 9.376744e-06 5 6.4356251365e-17 -3.14e-02 2.41e-09 -7.749758e-05 1.439342e+00 -1.117908e+00 9.376745e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-17 rel. change during last iteration : -3.14018e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -7.74976e-05 +/- 1.721e-10 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 9.37675e-06 +/- 1.272e-10 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:11:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-09 0.00e+00 2.18e-04 -7.749758e-05 1.439342e+00 -1.117908e+00 9.376745e-06 5 6.4850022298e-17 -3.54e-04 2.18e-09 -7.229959e-05 1.439342e+00 -1.302231e+00 9.376747e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-17 rel. change during last iteration : -3.54256e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -7.22996e-05 +/- 1.737e-10 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 9.37675e-06 +/- 1.273e-10 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:11:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e-08 0.00e+00 2.06e-04 -7.229959e-05 1.439342e+00 -1.302231e+00 9.376747e-06 6 6.4356971396e-17 -1.90e-06 2.06e-10 -7.065581e-05 1.439342e+00 -1.734405e+00 9.376746e-06 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-17 rel. change during last iteration : -1.90485e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -7.06558e-05 +/- 1.767e-10 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 9.37675e-06 +/- 1.258e-10 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:11:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e-08 0.00e+00 2.11e-04 -7.065581e-05 1.439342e+00 -1.734405e+00 9.376746e-06 6 6.5503560212e-17 0.00e+00 2.11e-01 -8.279646e-05 1.439342e+00 -2.141233e+00 9.376742e-06 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-17 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -8.27965e-05 +/- 1.815e-10 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 9.37674e-06 +/- 1.262e-10 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:11:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-10 0.00e+00 2.60e-04 -8.279646e-05 1.439342e+00 -2.141233e+00 9.376742e-06 5 6.4832554885e-17 -1.83e-05 2.60e-09 -8.456042e-05 1.439342e+00 -2.173848e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-17 rel. change during last iteration : -1.83123e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -8.45604e-05 +/- 1.807e-10 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 9.37674e-06 +/- 1.255e-10 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:11:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-09 0.00e+00 2.66e-04 -8.456042e-05 1.439342e+00 -2.173848e+00 9.376743e-06 5 6.4969548528e-17 -6.78e-03 2.66e-09 -7.610079e-05 1.439342e+00 -1.986763e+00 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-17 rel. change during last iteration : -6.78319e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -7.61008e-05 +/- 1.795e-10 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 9.37674e-06 +/- 1.259e-10 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:11:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-09 0.00e+00 2.34e-04 -7.610079e-05 1.439342e+00 -1.986763e+00 9.376744e-06 5 6.4924274001e-17 -3.20e-04 2.34e-09 -7.367229e-05 1.439342e+00 -1.905258e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-17 rel. change during last iteration : -3.19778e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -7.36723e-05 +/- 1.785e-10 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 9.37675e-06 +/- 1.261e-10 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:11:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-11 0.00e+00 2.25e-04 -7.367229e-05 1.439342e+00 -1.905258e+00 9.376746e-06 4 6.4570464226e-17 -9.31e-01 2.25e-08 -7.323538e-05 1.439342e+00 -1.888509e+00 9.376745e-06 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-17 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -7.32354e-05 +/- 1.778e-10 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 9.37674e-06 +/- 1.258e-10 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:11:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-09 0.00e+00 2.23e-04 -7.323538e-05 1.439342e+00 -1.888509e+00 9.376745e-06 5 6.5210671482e-17 -8.11e-04 2.23e-09 -7.034210e-05 1.439342e+00 -1.720436e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-17 rel. change during last iteration : -8.11079e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -7.03421e-05 +/- 1.769e-10 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 9.37675e-06 +/- 1.268e-10 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:11:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-09 0.00e+00 2.10e-04 -7.034210e-05 1.439342e+00 -1.720436e+00 9.376746e-06 5 6.4493787860e-17 -1.57e-04 2.10e-09 -6.959751e-05 1.439342e+00 -1.606854e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-17 rel. change during last iteration : -1.56774e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -6.95975e-05 +/- 1.748e-10 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 9.37675e-06 +/- 1.265e-10 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:11:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-09 0.00e+00 2.05e-04 -6.959751e-05 1.439342e+00 -1.606854e+00 9.376746e-06 5 6.5517497262e-17 -2.50e-03 2.05e-09 -7.061528e-05 1.439342e+00 -1.744970e+00 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-17 rel. change during last iteration : -2.50491e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -7.06153e-05 +/- 1.773e-10 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 9.37674e-06 +/- 1.271e-10 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:11:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-10 0.00e+00 2.11e-04 -7.061528e-05 1.439342e+00 -1.744970e+00 9.376744e-06 5 6.4489158800e-17 -6.18e-05 2.11e-09 -7.140969e-05 1.439342e+00 -1.800596e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-17 rel. change during last iteration : -6.18176e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -7.14097e-05 +/- 1.763e-10 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 9.37674e-06 +/- 1.26e-10 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:11:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e-08 0.00e+00 2.15e-04 -7.140969e-05 1.439342e+00 -1.800596e+00 9.376743e-06 5 6.5567920136e-17 -4.70e-01 2.15e-09 -7.015599e-05 1.439342e+00 -1.436741e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-17 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -7.0156e-05 +/- 1.746e-10 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 9.37674e-06 +/- 1.281e-10 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:12:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.7405657458e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 10 6.4901875513e-17 -3.26e-07 2.23e-04 -8.443893e-05 1.439342e+00 -9.678755e-01 9.376740e-06 After 10 iterations the fit converged. final sum of squares of residuals : 6.49019e-17 rel. change during last iteration : -3.26277e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -8.44389e-05 +/- 1.724e-10 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 9.37674e-06 +/- 1.279e-10 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-09 0.00e+00 2.36e-04 -8.443893e-05 1.439342e+00 -9.678755e-01 9.376740e-06 5 6.4938115173e-17 -2.17e-03 2.36e-09 -9.393777e-05 1.439342e+00 -8.344413e-01 9.376738e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-17 rel. change during last iteration : -2.1665e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -9.39378e-05 +/- 1.723e-10 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 9.37674e-06 +/- 1.28e-10 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-09 0.00e+00 2.64e-04 -9.393777e-05 1.439342e+00 -8.344413e-01 9.376738e-06 5 6.4953580713e-17 -1.89e-03 2.64e-09 -8.576608e-05 1.439342e+00 -9.477245e-01 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-17 rel. change during last iteration : -1.88567e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -8.57661e-05 +/- 1.724e-10 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 9.37674e-06 +/- 1.28e-10 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-09 0.00e+00 2.41e-04 -8.576608e-05 1.439342e+00 -9.477245e-01 9.376744e-06 5 6.4356251365e-17 -3.14e-02 2.41e-09 -7.749758e-05 1.439342e+00 -1.117908e+00 9.376745e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-17 rel. change during last iteration : -3.14018e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -7.74976e-05 +/- 1.721e-10 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 9.37675e-06 +/- 1.272e-10 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-09 0.00e+00 2.18e-04 -7.749758e-05 1.439342e+00 -1.117908e+00 9.376745e-06 5 6.4850022298e-17 -3.54e-04 2.18e-09 -7.229959e-05 1.439342e+00 -1.302231e+00 9.376747e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-17 rel. change during last iteration : -3.54256e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -7.22996e-05 +/- 1.737e-10 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 9.37675e-06 +/- 1.273e-10 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e-08 0.00e+00 2.06e-04 -7.229959e-05 1.439342e+00 -1.302231e+00 9.376747e-06 6 6.4356971396e-17 -1.90e-06 2.06e-10 -7.065581e-05 1.439342e+00 -1.734405e+00 9.376746e-06 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-17 rel. change during last iteration : -1.90485e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -7.06558e-05 +/- 1.767e-10 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 9.37675e-06 +/- 1.258e-10 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e-08 0.00e+00 2.11e-04 -7.065581e-05 1.439342e+00 -1.734405e+00 9.376746e-06 6 6.5503560212e-17 0.00e+00 2.11e-01 -8.279646e-05 1.439342e+00 -2.141233e+00 9.376742e-06 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-17 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -8.27965e-05 +/- 1.815e-10 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 9.37674e-06 +/- 1.262e-10 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-10 0.00e+00 2.60e-04 -8.279646e-05 1.439342e+00 -2.141233e+00 9.376742e-06 5 6.4832554885e-17 -1.83e-05 2.60e-09 -8.456042e-05 1.439342e+00 -2.173848e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-17 rel. change during last iteration : -1.83123e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -8.45604e-05 +/- 1.807e-10 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 9.37674e-06 +/- 1.255e-10 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-09 0.00e+00 2.66e-04 -8.456042e-05 1.439342e+00 -2.173848e+00 9.376743e-06 5 6.4969548528e-17 -6.78e-03 2.66e-09 -7.610079e-05 1.439342e+00 -1.986763e+00 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-17 rel. change during last iteration : -6.78319e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -7.61008e-05 +/- 1.795e-10 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 9.37674e-06 +/- 1.259e-10 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-09 0.00e+00 2.34e-04 -7.610079e-05 1.439342e+00 -1.986763e+00 9.376744e-06 5 6.4924274001e-17 -3.20e-04 2.34e-09 -7.367229e-05 1.439342e+00 -1.905258e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-17 rel. change during last iteration : -3.19778e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -7.36723e-05 +/- 1.785e-10 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 9.37675e-06 +/- 1.261e-10 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-11 0.00e+00 2.25e-04 -7.367229e-05 1.439342e+00 -1.905258e+00 9.376746e-06 4 6.4570464226e-17 -9.31e-01 2.25e-08 -7.323538e-05 1.439342e+00 -1.888509e+00 9.376745e-06 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-17 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -7.32354e-05 +/- 1.778e-10 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 9.37674e-06 +/- 1.258e-10 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:13:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-09 0.00e+00 2.23e-04 -7.323538e-05 1.439342e+00 -1.888509e+00 9.376745e-06 5 6.5210671482e-17 -8.11e-04 2.23e-09 -7.034210e-05 1.439342e+00 -1.720436e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-17 rel. change during last iteration : -8.11079e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -7.03421e-05 +/- 1.769e-10 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 9.37675e-06 +/- 1.268e-10 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:13:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-09 0.00e+00 2.10e-04 -7.034210e-05 1.439342e+00 -1.720436e+00 9.376746e-06 5 6.4493787860e-17 -1.57e-04 2.10e-09 -6.959751e-05 1.439342e+00 -1.606854e+00 9.376746e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-17 rel. change during last iteration : -1.56774e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -6.95975e-05 +/- 1.748e-10 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 9.37675e-06 +/- 1.265e-10 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:13:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-09 0.00e+00 2.05e-04 -6.959751e-05 1.439342e+00 -1.606854e+00 9.376746e-06 5 6.5517497262e-17 -2.50e-03 2.05e-09 -7.061528e-05 1.439342e+00 -1.744970e+00 9.376744e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-17 rel. change during last iteration : -2.50491e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -7.06153e-05 +/- 1.773e-10 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 9.37674e-06 +/- 1.271e-10 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:13:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-10 0.00e+00 2.11e-04 -7.061528e-05 1.439342e+00 -1.744970e+00 9.376744e-06 5 6.4489158800e-17 -6.18e-05 2.11e-09 -7.140969e-05 1.439342e+00 -1.800596e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-17 rel. change during last iteration : -6.18176e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -7.14097e-05 +/- 1.763e-10 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 9.37674e-06 +/- 1.26e-10 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:13:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e-08 0.00e+00 2.15e-04 -7.140969e-05 1.439342e+00 -1.800596e+00 9.376743e-06 5 6.5567920136e-17 -4.70e-01 2.15e-09 -7.015599e-05 1.439342e+00 -1.436741e+00 9.376743e-06 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-17 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-09 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-18 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -7.0156e-05 +/- 1.746e-10 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 9.37674e-06 +/- 1.281e-10 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:15:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:16:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:16:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:16:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:16:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:16:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:16:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:16:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:16:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:16:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:16:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:16:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:16:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:16:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:16:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:16:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:16:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:17:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:17:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:17:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:17:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:17:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:17:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:17:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:17:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:17:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:17:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:17:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:17:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:17:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:17:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:17:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:17:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:50:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:50:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:50:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:50:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:50:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:50:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:50:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:50:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:50:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:50:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:50:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:50:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:50:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:50:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:50:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:50:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:50:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:50:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:50:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:50:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:50:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:50:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:50:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:50:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:50:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:50:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:50:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:50:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:51:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:51:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:51:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:51:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 17:51:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 17:51:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 17:51:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 17:51:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 17:51:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 17:51:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 17:51:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 17:51:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 17:51:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 17:51:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 17:51:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 17:51:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:51:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 17:51:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 17:51:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 17:51:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 21:12:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 21:12:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 5.1476955071e+01 0.00e+00 0.00e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 BREAK: Singular matrix in Givens() ******************************************************************************* Thu Jun 20 21:12:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 21:12:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Jun 20 21:12:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 21:12:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Jun 20 21:12:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 21:12:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Jun 20 21:12:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:12:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Jun 20 21:12:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 21:12:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Jun 20 21:12:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 21:12:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Jun 20 21:12:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 21:12:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Jun 20 21:12:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 21:12:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:12:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 21:12:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Jun 20 21:12:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 21:12:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Jun 20 21:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 21:12:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Jun 20 21:13:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Jun 20 21:13:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 21:13:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Jun 20 21:13:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:13:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Jun 20 21:13:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 21:13:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Jun 20 21:13:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 21:13:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Jun 20 21:16:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 21:16:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Jun 20 21:16:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 21:16:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Jun 20 21:16:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 21:16:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Jun 20 21:16:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:16:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Jun 20 21:16:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 21:16:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Jun 20 21:16:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 21:16:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Jun 20 21:16:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 21:16:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Jun 20 21:17:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 21:17:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:17:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 21:17:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Jun 20 21:17:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 21:17:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Jun 20 21:17:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 21:17:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Jun 20 21:17:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:17:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Jun 20 21:17:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 21:17:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Jun 20 21:17:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:17:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Jun 20 21:17:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 21:17:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Jun 20 21:17:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 21:17:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Thu Jun 20 21:18:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Thu Jun 20 21:18:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Thu Jun 20 21:18:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Thu Jun 20 21:18:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Thu Jun 20 21:18:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Thu Jun 20 21:18:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Thu Jun 20 21:18:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:18:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Thu Jun 20 21:18:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Thu Jun 20 21:18:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Thu Jun 20 21:18:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Thu Jun 20 21:18:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Thu Jun 20 21:18:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Thu Jun 20 21:18:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Thu Jun 20 21:18:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Thu Jun 20 21:18:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Thu Jun 20 21:18:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Thu Jun 20 21:18:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Thu Jun 20 21:18:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Thu Jun 20 21:18:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Thu Jun 20 21:18:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Thu Jun 20 21:18:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Thu Jun 20 21:18:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:18:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Thu Jun 20 21:18:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Thu Jun 20 21:18:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Thu Jun 20 21:18:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Thu Jun 20 21:18:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Thu Jun 20 21:18:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Thu Jun 20 21:18:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Thu Jun 20 21:18:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Thu Jun 20 21:18:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:06:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:06:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:06:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:06:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:06:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:06:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:06:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:06:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:06:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:06:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:06:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:06:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:06:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:06:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:06:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:06:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:06:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:06:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:06:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:06:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:06:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:06:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:06:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:06:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:06:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:06:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:06:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:07:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:07:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:07:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:07:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:07:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:07:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:07:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:07:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:07:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:07:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:07:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:07:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:07:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:07:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:07:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:07:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:07:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:07:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:07:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:07:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:07:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:07:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:07:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:07:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:07:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:07:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:07:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:07:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:07:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:07:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:07:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:07:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:10:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:10:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:10:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:10:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:10:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:10:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:10:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:10:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:10:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:10:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:10:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:10:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:10:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:10:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:10:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:10:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:10:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:10:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:10:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:10:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:10:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:10:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:10:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:10:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:10:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:10:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:10:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:10:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:10:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:10:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:10:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:10:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:16:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:16:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:16:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:16:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:16:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:16:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:16:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:16:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:16:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:16:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:16:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:16:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:16:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:16:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:16:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:16:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:16:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:16:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:16:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:16:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:16:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:16:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:16:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:16:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:16:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:16:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:16:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:16:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:16:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:16:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:16:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:16:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:19:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:19:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:19:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:19:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:19:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:19:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:19:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:19:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:19:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:19:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:19:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:19:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:19:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:19:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:19:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:19:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:19:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:19:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:19:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:19:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:19:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:19:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:19:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:19:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:19:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:19:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:19:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:19:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:19:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:19:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:19:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:19:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:30:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:30:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:30:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:30:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:30:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:30:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:30:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:30:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:30:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:30:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:30:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:30:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:30:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:30:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:30:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:30:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:30:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:30:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:30:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:30:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:30:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:31:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:31:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:31:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:31:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:31:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:31:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:31:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:31:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:31:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:31:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:31:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:31:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:31:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:31:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:31:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:31:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:31:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:31:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:31:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:31:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:31:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:31:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:31:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:31:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:31:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:31:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:31:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:31:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:31:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:31:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:31:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:31:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:31:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:31:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:31:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:31:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:31:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:31:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:31:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:31:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:31:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:31:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:31:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Fri Jun 21 08:33:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Fri Jun 21 08:33:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Fri Jun 21 08:33:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Fri Jun 21 08:33:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Fri Jun 21 08:33:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Fri Jun 21 08:33:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Fri Jun 21 08:33:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:33:40 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Fri Jun 21 08:33:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Fri Jun 21 08:33:41 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Fri Jun 21 08:33:42 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Fri Jun 21 08:33:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Fri Jun 21 08:33:43 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Fri Jun 21 08:33:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Fri Jun 21 08:33:44 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Fri Jun 21 08:33:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Fri Jun 21 08:33:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Fri Jun 21 08:33:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Fri Jun 21 08:33:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Fri Jun 21 08:33:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Fri Jun 21 08:33:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Fri Jun 21 08:33:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Fri Jun 21 08:33:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:33:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Fri Jun 21 08:33:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Fri Jun 21 08:33:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Fri Jun 21 08:33:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Fri Jun 21 08:33:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Fri Jun 21 08:33:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Fri Jun 21 08:33:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Fri Jun 21 08:33:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Fri Jun 21 08:33:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:30:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:30:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:30:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:30:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:30:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:30:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:30:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:30:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:31:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:31:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:31:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:31:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:31:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:31:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:31:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:31:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:31:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:31:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:31:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:31:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:31:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:31:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:31:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:31:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:31:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:31:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:31:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:31:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:31:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:31:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:31:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:31:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:37:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:37:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:37:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:38:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:42:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:42:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:42:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:42:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:42:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:42:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:42:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:42:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:42:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:42:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:42:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:42:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:42:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:42:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:42:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:42:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:42:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:42:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:42:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:42:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:42:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:42:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:42:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:42:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:42:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:42:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:42:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:42:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:42:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:42:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:42:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:42:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:45:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:45:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:45:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:45:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:45:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:45:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:45:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:45:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:45:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:45:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:45:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:45:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:45:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:45:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:45:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:45:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:45:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:45:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:45:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:45:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:45:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:45:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:45:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:45:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:45:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:45:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:45:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:45:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:45:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:45:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:45:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:45:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:51:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:51:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:51:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:51:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:51:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:51:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:51:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:51:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:51:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:51:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:51:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:51:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:51:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:51:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:51:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:51:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:51:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:51:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:51:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:51:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:51:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:51:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:51:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:51:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:52:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:52:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:52:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:52:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:52:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:54:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:54:45 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:54:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:54:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:54:46 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:54:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:54:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:54:47 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:54:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:54:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:54:48 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:54:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:54:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:54:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:54:49 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:54:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:54:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:54:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:54:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:54:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:54:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:54:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:54:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:54:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:54:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:54:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:54:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:54:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:54:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:54:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:54:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:54:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:56:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:56:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:56:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:56:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:56:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:56:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:57:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:57:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:57:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:57:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:57:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:57:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:57:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:57:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:57:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:57:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:57:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:57:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:57:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:57:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:57:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:57:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:57:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:57:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:57:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:57:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:57:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:57:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:57:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:57:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:57:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:57:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:58:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:58:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:58:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:58:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:58:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:58:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:58:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:58:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:58:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:58:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:58:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:58:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:58:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:58:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:58:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:58:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:58:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:58:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:58:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:58:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:58:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:58:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:58:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:58:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:58:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:58:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:58:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:58:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:58:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 08:58:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 08:58:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 08:58:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 08:58:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 08:58:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 08:58:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 08:58:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:58:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 08:58:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 08:58:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 08:58:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 08:58:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 08:58:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 08:58:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 08:58:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 08:58:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 08:58:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 08:58:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 08:58:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 08:58:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 08:59:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 08:59:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 08:59:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:59:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 08:59:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 08:59:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 08:59:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 08:59:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 08:59:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 08:59:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 08:59:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 08:59:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 09:01:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 09:01:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 09:01:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 09:01:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 09:01:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 09:01:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 09:01:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 09:01:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 09:01:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 09:01:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 09:01:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 09:01:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 09:01:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 09:01:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 09:01:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 09:01:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 09:01:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 09:01:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 09:01:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 09:01:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 09:01:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 09:01:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 09:01:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 09:01:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 09:01:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 09:01:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 09:01:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 09:01:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 09:01:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 09:01:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 09:01:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 09:01:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 09:24:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6322391849e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 4 6.9333303846e+00 -4.18e-01 2.23e-04 -2.177317e-01 1.419353e+00 -1.444275e+00 -3.550462e-03 After 4 iterations the fit converged. final sum of squares of residuals : 6.93333 rel. change during last iteration : -4.18068e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331742 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110053 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.217732 +/- 0.05755 (26.43%) b[1] = 1.41935 +/- 0.09369 (6.601%) c[1] = -1.44427 +/- 0.5264 (36.45%) d[1] = -0.00355046 +/- 0.04145 (1167%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.026 1.000 c[1] 0.054 -0.863 1.000 d[1] -0.104 0.158 -0.091 1.000 ******************************************************************************* Sun Jun 23 09:24:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956843e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.4167092044e-12 0.00e+00 3.04e+02 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.41671e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93223e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.59795e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.114e-08 (5.114e-06%) bb[1] = 1.43934 +/- 1.759e-08 (1.222e-06%) cc[1] = -3.14159 +/- 1.028e-07 (3.273e-06%) dd[1] = 2.06134e-08 +/- 3.65e-08 (177.1%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 09:24:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 6.9116530916e+00 0.00e+00 6.31e-01 -2.177317e-01 1.419353e+00 -1.444275e+00 -3.550462e-03 2 6.9114494546e+00 -4.93e-01 6.31e-03 -2.177071e-01 1.415969e+00 -1.422218e+00 -3.682011e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.91145 rel. change during last iteration : -4.9251e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331218 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109706 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.217707 +/- 0.05738 (26.36%) b[2] = 1.41597 +/- 0.09404 (6.641%) c[2] = -1.42222 +/- 0.5296 (37.23%) d[2] = -0.00368201 +/- 0.04142 (1125%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.027 1.000 c[2] 0.055 -0.865 1.000 d[2] -0.105 0.164 -0.099 1.000 ******************************************************************************* Sun Jun 23 09:24:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6388036180e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5651909860e-12 -5.52e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.56519e-12 rel. change during last iteration : -5.52133e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97214e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83364e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.187e-08 (5.187e-06%) bb[2] = 1.43934 +/- 1.777e-08 (1.235e-06%) cc[2] = -3.14159 +/- 1.041e-07 (3.314e-06%) dd[2] = 2.06134e-08 +/- 3.699e-08 (179.5%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 09:24:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 6.8982942027e+00 0.00e+00 6.30e-01 -2.177071e-01 1.415969e+00 -1.422218e+00 -3.682011e-03 2 6.8981003049e+00 -8.30e-01 6.30e-03 -2.177560e-01 1.412859e+00 -1.402128e+00 -3.928285e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.8981 rel. change during last iteration : -8.30253e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.330898 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109494 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.217756 +/- 0.05726 (26.29%) b[3] = 1.41286 +/- 0.0944 (6.682%) c[3] = -1.40213 +/- 0.5327 (38%) d[3] = -0.00392829 +/- 0.04141 (1054%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.028 1.000 c[3] 0.055 -0.867 1.000 d[3] -0.105 0.171 -0.107 1.000 ******************************************************************************* Sun Jun 23 09:24:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 4.9693653747e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 4.9362077554e-12 -2.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.93621e-12 rel. change during last iteration : -2.72738e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79915e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.83525e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.889e-08 (4.889e-06%) bb[3] = 1.43934 +/- 1.669e-08 (1.16e-06%) cc[3] = -3.14159 +/- 9.797e-08 (3.118e-06%) dd[3] = 2.06134e-08 +/- 3.483e-08 (169%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 09:24:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 6.8935073656e+00 0.00e+00 6.29e-01 -2.177560e-01 1.412859e+00 -1.402128e+00 -3.928285e-03 4 6.8931929888e+00 -2.94e-03 6.29e-05 -2.176686e-01 1.409509e+00 -1.382285e+00 -5.694244e-03 After 4 iterations the fit converged. final sum of squares of residuals : 6.89319 rel. change during last iteration : -2.93688e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.330781 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109416 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.217669 +/- 0.05717 (26.27%) b[4] = 1.40951 +/- 0.09487 (6.731%) c[4] = -1.38228 +/- 0.5366 (38.82%) d[4] = -0.00569424 +/- 0.04143 (727.7%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.028 1.000 c[4] 0.055 -0.868 1.000 d[4] -0.105 0.177 -0.115 1.000 ******************************************************************************* Sun Jun 23 09:24:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.1987042642e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.1061540744e-12 -2.63e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.10615e-12 rel. change during last iteration : -2.63263e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84693e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.10501e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 4.976e-08 (4.976e-06%) bb[4] = 1.43934 +/- 1.693e-08 (1.176e-06%) cc[4] = -3.14159 +/- 9.954e-08 (3.169e-06%) dd[4] = 2.06134e-08 +/- 3.542e-08 (171.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 09:24:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 6.8965175046e+00 0.00e+00 6.28e-01 -2.176686e-01 1.409509e+00 -1.382285e+00 -5.694244e-03 1 6.8964493845e+00 -9.88e-01 6.28e-02 -2.178481e-01 1.408144e+00 -1.373283e+00 -5.696940e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.89645 rel. change during last iteration : -9.87757e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.330859 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109467 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.217848 +/- 0.05713 (26.22%) b[5] = 1.40814 +/- 0.09521 (6.762%) c[5] = -1.37328 +/- 0.5393 (39.27%) d[5] = -0.00569694 +/- 0.04147 (728%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.029 1.000 c[5] 0.055 -0.870 1.000 d[5] -0.106 0.182 -0.120 1.000 ******************************************************************************* Sun Jun 23 09:24:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.2770414866e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 4.8922455489e-12 -1.46e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.89225e-12 rel. change during last iteration : -1.46231e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.78666e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.76547e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.874e-08 (4.874e-06%) bb[5] = 1.43934 +/- 1.653e-08 (1.148e-06%) cc[5] = -3.14159 +/- 9.734e-08 (3.098e-06%) dd[5] = 2.06134e-08 +/- 3.466e-08 (168.1%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 09:24:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 6.9067937486e+00 0.00e+00 6.28e-01 -2.178481e-01 1.408144e+00 -1.373283e+00 -5.696940e-03 2 6.9066558629e+00 -7.38e-01 6.28e-03 -2.180993e-01 1.405569e+00 -1.356915e+00 -6.053738e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.90666 rel. change during last iteration : -7.37653e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331103 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109629 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.218099 +/- 0.0571 (26.18%) b[6] = 1.40557 +/- 0.09564 (6.804%) c[6] = -1.35692 +/- 0.5427 (40%) d[6] = -0.00605374 +/- 0.04154 (686.2%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.029 1.000 c[6] 0.055 -0.871 1.000 d[6] -0.106 0.187 -0.127 1.000 ******************************************************************************* Sun Jun 23 09:24:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.9565953042e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5885279526e-12 -9.25e-03 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.58853e-12 rel. change during last iteration : -9.24546e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97837e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.87068e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.213e-08 (5.213e-06%) bb[6] = 1.43934 +/- 1.762e-08 (1.224e-06%) cc[6] = -3.14159 +/- 1.039e-07 (3.308e-06%) dd[6] = 2.06134e-08 +/- 3.703e-08 (179.7%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 09:24:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 6.9223508985e+00 0.00e+00 6.28e-01 -2.180993e-01 1.405569e+00 -1.356915e+00 -6.053738e-03 1 6.9223291832e+00 -3.14e-01 6.28e-02 -2.183544e-01 1.404853e+00 -1.352306e+00 -6.059683e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.92233 rel. change during last iteration : -3.13701e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331479 variance of residuals (reduced chisquare) = WSSR/ndf : 0.109878 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.218354 +/- 0.05712 (26.16%) b[7] = 1.40485 +/- 0.096 (6.833%) c[7] = -1.35231 +/- 0.5454 (40.33%) d[7] = -0.00605968 +/- 0.04161 (686.7%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] -0.029 1.000 c[7] 0.055 -0.872 1.000 d[7] -0.107 0.191 -0.131 1.000 ******************************************************************************* Sun Jun 23 09:24:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.3307051396e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.2957260419e-12 -1.88e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.29573e-12 rel. change during last iteration : -1.87947e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8993e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.40591e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 5.079e-08 (5.079e-06%) bb[7] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[7] = -3.14159 +/- 1.011e-07 (3.217e-06%) dd[7] = 2.06134e-08 +/- 3.604e-08 (174.8%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 09:24:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 6.9415165876e+00 0.00e+00 6.28e-01 -2.183544e-01 1.404853e+00 -1.352306e+00 -6.059683e-03 1 6.9414974290e+00 -2.76e-01 6.28e-02 -2.186713e-01 1.404224e+00 -1.348374e+00 -6.067087e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.9415 rel. change during last iteration : -2.76001e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.331937 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110182 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.218671 +/- 0.05715 (26.13%) b[8] = 1.40422 +/- 0.09635 (6.861%) c[8] = -1.34837 +/- 0.5479 (40.64%) d[8] = -0.00606709 +/- 0.04169 (687.2%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] -0.029 1.000 c[8] 0.055 -0.874 1.000 d[8] -0.108 0.194 -0.135 1.000 ******************************************************************************* Sun Jun 23 09:24:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4845876267e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.4392624181e-12 -4.20e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.43926e-12 rel. change during last iteration : -4.2011e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.93832e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.63375e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.151e-08 (5.151e-06%) bb[8] = 1.43934 +/- 1.729e-08 (1.201e-06%) cc[8] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[8] = 2.06134e-08 +/- 3.652e-08 (177.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 09:24:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 6.9619964341e+00 0.00e+00 6.29e-01 -2.186713e-01 1.404224e+00 -1.348374e+00 -6.067087e-03 1 6.9619874915e+00 -1.28e-01 6.29e-02 -2.190107e-01 1.403971e+00 -1.347003e+00 -6.075323e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.96199 rel. change during last iteration : -1.28449e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.332427 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110508 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.219011 +/- 0.05719 (26.11%) b[9] = 1.40397 +/- 0.09667 (6.885%) c[9] = -1.347 +/- 0.5503 (40.85%) d[9] = -0.00607532 +/- 0.04178 (687.7%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] -0.030 1.000 c[9] 0.055 -0.874 1.000 d[9] -0.109 0.197 -0.138 1.000 ******************************************************************************* Sun Jun 23 09:24:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.5042352938e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.1987860181e-12 -6.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.19879e-12 rel. change during last iteration : -6.53875e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.87264e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.25204e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.039e-08 (5.039e-06%) bb[9] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[9] = -3.14159 +/- 9.996e-08 (3.182e-06%) dd[9] = 2.06134e-08 +/- 3.569e-08 (173.2%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 09:24:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 6.9815592778e+00 0.00e+00 6.30e-01 -2.190107e-01 1.403971e+00 -1.347003e+00 -6.075323e-03 1 6.9815486797e+00 -1.52e-01 6.30e-02 -2.193572e-01 1.404193e+00 -1.348872e+00 -6.083716e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.98155 rel. change during last iteration : -1.51801e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.332894 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110818 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.219357 +/- 0.05723 (26.09%) b[10] = 1.40419 +/- 0.09695 (6.904%) c[10] = -1.34887 +/- 0.5523 (40.95%) d[10] = -0.00608372 +/- 0.04185 (688%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.030 1.000 c[10] 0.055 -0.875 1.000 d[10] -0.110 0.199 -0.141 1.000 ******************************************************************************* Sun Jun 23 09:24:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.8894783537e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5483805313e-12 -4.52e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.54838e-12 rel. change during last iteration : -4.51732e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96765e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.80695e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.209e-08 (5.209e-06%) bb[10] = 1.43934 +/- 1.737e-08 (1.207e-06%) cc[10] = -3.14159 +/- 1.032e-07 (3.284e-06%) dd[10] = 2.06134e-08 +/- 3.687e-08 (178.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 09:24:23 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 6.9980358092e+00 0.00e+00 6.31e-01 -2.193572e-01 1.404193e+00 -1.348872e+00 -6.083716e-03 1 6.9980049134e+00 -4.41e-01 6.31e-02 -2.197011e-01 1.404919e+00 -1.354183e+00 -6.091581e-03 After 1 iterations the fit converged. final sum of squares of residuals : 6.998 rel. change during last iteration : -4.41494e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333286 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111079 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.219701 +/- 0.05726 (26.06%) b[11] = 1.40492 +/- 0.09717 (6.916%) c[11] = -1.35418 +/- 0.554 (40.91%) d[11] = -0.00609158 +/- 0.04191 (688.1%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.031 1.000 c[11] 0.055 -0.876 1.000 d[11] -0.111 0.200 -0.143 1.000 ******************************************************************************* Sun Jun 23 09:24:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.5601905135e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.3047084589e-12 -4.16e-04 3.26e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.30471e-12 rel. change during last iteration : -4.1644e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90175e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42017e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.097e-08 (5.097e-06%) bb[11] = 1.43934 +/- 1.694e-08 (1.177e-06%) cc[11] = -3.14159 +/- 1.008e-07 (3.208e-06%) dd[11] = 2.06134e-08 +/- 3.604e-08 (174.8%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 09:24:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 7.0094703752e+00 0.00e+00 6.33e-01 -2.197011e-01 1.404919e+00 -1.354183e+00 -6.091581e-03 2 7.0093445586e+00 -7.91e-01 6.33e-03 -2.200747e-01 1.406772e+00 -1.367548e+00 -6.494231e-03 After 2 iterations the fit converged. final sum of squares of residuals : 7.00934 rel. change during last iteration : -7.91395e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333556 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111259 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.220075 +/- 0.05728 (26.03%) b[12] = 1.40677 +/- 0.09724 (6.913%) c[12] = -1.36755 +/- 0.5546 (40.55%) d[12] = -0.00649423 +/- 0.04195 (645.9%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.032 1.000 c[12] 0.056 -0.876 1.000 d[12] -0.113 0.199 -0.142 1.000 ******************************************************************************* Sun Jun 23 09:24:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7341116969e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.6860795284e-12 0.00e+00 3.27e+02 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.68608e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.00425e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.02552e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.281e-08 (5.281e-06%) bb[12] = 1.43934 +/- 1.75e-08 (1.215e-06%) cc[12] = -3.14159 +/- 1.043e-07 (3.318e-06%) dd[12] = 2.06134e-08 +/- 3.731e-08 (181%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 09:24:26 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 7.0141752667e+00 0.00e+00 6.34e-01 -2.200747e-01 1.406772e+00 -1.367548e+00 -6.494231e-03 1 7.0141076324e+00 -9.64e-01 6.34e-02 -2.203219e-01 1.407983e+00 -1.376324e+00 -6.496926e-03 After 1 iterations the fit converged. final sum of squares of residuals : 7.01411 rel. change during last iteration : -9.64261e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333669 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111335 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.220322 +/- 0.05727 (25.99%) b[13] = 1.40798 +/- 0.09738 (6.916%) c[13] = -1.37632 +/- 0.5556 (40.37%) d[13] = -0.00649693 +/- 0.04197 (646%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.033 1.000 c[13] 0.056 -0.877 1.000 d[13] -0.115 0.199 -0.143 1.000 ******************************************************************************* Sun Jun 23 09:24:26 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4500555478e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.2986857690e-12 -4.88e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.29869e-12 rel. change during last iteration : -4.87731e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90011e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.41061e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.101e-08 (5.101e-06%) bb[13] = 1.43934 +/- 1.685e-08 (1.17e-06%) cc[13] = -3.14159 +/- 1.005e-07 (3.201e-06%) dd[13] = 2.06134e-08 +/- 3.6e-08 (174.7%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 09:24:27 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 7.0112626166e+00 0.00e+00 6.36e-01 -2.203219e-01 1.407983e+00 -1.376324e+00 -6.496926e-03 2 7.0110685470e+00 -4.21e-01 6.36e-03 -2.207161e-01 1.411237e+00 -1.398762e+00 -6.462384e-03 After 2 iterations the fit converged. final sum of squares of residuals : 7.01107 rel. change during last iteration : -4.21282e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333597 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111287 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.220716 +/- 0.05725 (25.94%) b[14] = 1.41124 +/- 0.09725 (6.891%) c[14] = -1.39876 +/- 0.5548 (39.66%) d[14] = -0.00646238 +/- 0.04195 (649.1%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.035 1.000 c[14] 0.058 -0.877 1.000 d[14] -0.117 0.196 -0.140 1.000 ******************************************************************************* Sun Jun 23 09:24:28 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7450011449e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5209995874e-12 -7.57e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.521e-12 rel. change during last iteration : -7.57423e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96032e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76349e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.211e-08 (5.211e-06%) bb[14] = 1.43934 +/- 1.715e-08 (1.192e-06%) cc[14] = -3.14159 +/- 1.025e-07 (3.264e-06%) dd[14] = 2.06134e-08 +/- 3.674e-08 (178.3%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 09:24:28 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 6.9998366276e+00 0.00e+00 6.38e-01 -2.207161e-01 1.411237e+00 -1.398762e+00 -6.462384e-03 2 6.9996705810e+00 -5.17e-01 6.38e-03 -2.210415e-01 1.414158e+00 -1.418963e+00 -6.233936e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.99967 rel. change during last iteration : -5.16998e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.333325 variance of residuals (reduced chisquare) = WSSR/ndf : 0.111106 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.221042 +/- 0.05719 (25.87%) b[15] = 1.41416 +/- 0.09711 (6.867%) c[15] = -1.41896 +/- 0.554 (39.04%) d[15] = -0.00623394 +/- 0.0419 (672.2%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.037 1.000 c[15] 0.059 -0.877 1.000 d[15] -0.120 0.194 -0.138 1.000 ******************************************************************************* Sun Jun 23 09:24:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.5983043130e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.5070662445e-12 0.00e+00 3.29e+03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.50707e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.95658e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.74137e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.208e-08 (5.208e-06%) bb[15] = 1.43934 +/- 1.709e-08 (1.188e-06%) cc[15] = -3.14159 +/- 1.023e-07 (3.257e-06%) dd[15] = 2.06134e-08 +/- 3.669e-08 (178%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 09:24:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 6.9800987511e+00 0.00e+00 6.40e-01 -2.210415e-01 1.414158e+00 -1.418963e+00 -6.233936e-03 2 6.9798741113e+00 -9.01e-01 6.40e-03 -2.213685e-01 1.417458e+00 -1.441672e+00 -5.873547e-03 After 2 iterations the fit converged. final sum of squares of residuals : 6.97987 rel. change during last iteration : -9.00865e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.332854 variance of residuals (reduced chisquare) = WSSR/ndf : 0.110792 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.221368 +/- 0.05711 (25.8%) b[16] = 1.41746 +/- 0.09688 (6.835%) c[16] = -1.44167 +/- 0.5527 (38.34%) d[16] = -0.00587355 +/- 0.04183 (712.2%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.039 1.000 c[16] 0.060 -0.877 1.000 d[16] -0.122 0.191 -0.136 1.000 ******************************************************************************* Sun Jun 23 09:24:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6874198965e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 3 5.4557267514e-12 -2.61e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 2.061336e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.45573e-12 rel. change during last iteration : -2.60924e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94277e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.65988e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.187e-08 (5.187e-06%) bb[16] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[16] = -3.14159 +/- 1.018e-07 (3.239e-06%) dd[16] = 2.06134e-08 +/- 3.651e-08 (177.1%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:40:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:40:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:40:34 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:40:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:40:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:40:36 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:40:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:40:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:40:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:40:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:40:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:40:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:40:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:40:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:40:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:40:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:40:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:40:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:40:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:40:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:40:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:40:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:40:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:40:48 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:40:48 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:40:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:40:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:40:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:40:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:40:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:40:52 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:40:53 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:47:31 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:47:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:47:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:47:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:47:34 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:47:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:47:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:47:36 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:47:36 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:47:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:47:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:47:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:47:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:47:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:47:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:47:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:47:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:47:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:47:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:47:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:47:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:47:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:47:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:47:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:47:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:47:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:47:48 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:47:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:47:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:47:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:47:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:47:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:50:28 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:50:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:50:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:50:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:50:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:50:31 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:50:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:50:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:50:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:50:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:50:34 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:50:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:50:35 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:50:36 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:50:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:50:37 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:50:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:50:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:50:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:50:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:50:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:50:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:50:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:50:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:50:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:50:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:50:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:50:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:50:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:50:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:50:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:50:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:56:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:56:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:56:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:56:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:56:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:56:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:56:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:56:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:56:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:56:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:56:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:56:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:56:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:56:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:56:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:56:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:56:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:56:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:56:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:56:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:56:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:56:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:56:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:56:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:56:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:56:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:56:38 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:56:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:56:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:56:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:56:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:56:41 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:56:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:56:42 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:56:43 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:56:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:56:44 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:45 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:56:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:46 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:56:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:56:47 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:56:48 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:56:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:56:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:56:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:56:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:52 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:56:53 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:56:53 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:56:54 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:56:54 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:56:55 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:56:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:56:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:56:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:56:58 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 10:58:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:58:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 10:58:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:58:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 10:58:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:58:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 10:58:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:58:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 10:58:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 23 10:58:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 10:58:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 23 10:58:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 10:58:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 23 10:58:23 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 10:58:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 23 10:58:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 10:58:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 23 10:58:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 10:58:26 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 23 10:58:27 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 10:58:27 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 23 10:58:28 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 10:58:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 23 10:58:29 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 10:58:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 23 10:58:30 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 10:58:31 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 23 10:58:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 10:58:32 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 23 10:58:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 10:58:33 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 23 10:58:34 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 23 11:05:50 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 23 11:05:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 23 11:05:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 23 11:05:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 23 11:05:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 23 11:05:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 23 11:05:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 23 11:05:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 23 11:05:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 23 11:05:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 23 11:05:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 23 11:05:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 23 11:05:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 23 11:05:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 23 11:05:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 23 11:05:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 23 11:05:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 23 11:05:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 23 11:05:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 23 11:05:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 23 11:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 23 11:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 23 11:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 11:05:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 23 11:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 23 11:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 23 11:05:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 23 11:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 23 11:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 23 11:05:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 23 11:06:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 23 11:06:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:28:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:29:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:29:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:29:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:29:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:29:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:29:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:29:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:29:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:29:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:29:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:29:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:29:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:29:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:29:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:29:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:29:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:29:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:29:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:29:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:29:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:29:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:29:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:29:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:29:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:29:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:29:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:29:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:29:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:29:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:29:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:29:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:29:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:29:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:29:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:29:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:29:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:29:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:29:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:29:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:29:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:29:32 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:29:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:29:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:29:33 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:29:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:29:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:29:34 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:29:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:29:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:29:35 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:29:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:29:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:29:36 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:29:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:29:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:29:37 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:29:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:29:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:29:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:29:38 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:29:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:29:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:29:39 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:35:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:35:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:35:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:35:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:35:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:35:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:35:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:35:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:35:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:35:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:35:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:35:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:35:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:35:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:35:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:35:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:35:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:35:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:36:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:36:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:36:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:36:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:36:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:36:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:36:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:36:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:36:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:36:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:36:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:36:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:36:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:36:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:36:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:36:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:36:15 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:36:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:36:16 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:36:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:36:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:36:17 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:36:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:36:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:36:18 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:36:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:36:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:36:19 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:36:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:36:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:36:20 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:36:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:36:21 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:36:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:36:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:36:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:36:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:36:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:36:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:36:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:36:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:36:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:36:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:36:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:36:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:36:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:37:51 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:37:52 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:37:53 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:37:54 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:37:55 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:37:56 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:37:57 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:37:58 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:37:59 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:38:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:38:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:38:00 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:38:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 11:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 11:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 11:52:01 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 11:52:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 11:52:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 11:52:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 11:52:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:52:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 11:52:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 11:52:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 11:52:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 11:52:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 11:52:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 11:52:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 11:52:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 11:52:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 11:52:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 11:52:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 11:52:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 11:52:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 11:52:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 11:52:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 11:52:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:52:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 11:52:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 11:52:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 11:52:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 11:52:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 11:52:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 11:52:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 11:52:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 11:52:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 12:13:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Sun Jun 30 12:13:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:13:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Sun Jun 30 12:13:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 12:13:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Sun Jun 30 12:13:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 12:13:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Sun Jun 30 12:13:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 12:13:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Sun Jun 30 12:13:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 12:13:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Sun Jun 30 12:13:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 12:13:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Sun Jun 30 12:13:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 12:13:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Sun Jun 30 12:13:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 12:13:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Sun Jun 30 12:13:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 12:13:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Sun Jun 30 12:13:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 12:13:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Sun Jun 30 12:13:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 12:13:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 12:13:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 12:13:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Sun Jun 30 12:13:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 12:13:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Sun Jun 30 12:13:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 12:13:13 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Sun Jun 30 12:13:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 12:13:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Sun Jun 30 12:13:14 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Sun Jun 30 12:22:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:22:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:23:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:23:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:23:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:23:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:24:39 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:24:40 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:25:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:25:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Sun Jun 30 12:25:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 12:25:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Sun Jun 30 12:25:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 12:25:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Sun Jun 30 12:25:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Sun Jun 30 12:25:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Sun Jun 30 12:25:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Sun Jun 30 12:25:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Sun Jun 30 12:25:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Sun Jun 30 12:25:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Sun Jun 30 12:25:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Sun Jun 30 12:25:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Sun Jun 30 12:25:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Sun Jun 30 12:25:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Sun Jun 30 12:25:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Sun Jun 30 12:25:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Sun Jun 30 12:25:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Sun Jun 30 12:25:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Sun Jun 30 12:25:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Sun Jun 30 12:25:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Sun Jun 30 12:25:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Sun Jun 30 12:25:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Sun Jun 30 12:25:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Sun Jun 30 12:25:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Sun Jun 30 12:25:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Sun Jun 30 12:25:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Sun Jun 30 12:25:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Sun Jun 30 12:25:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Sun Jun 30 12:25:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Sun Jun 30 12:25:23 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 08:48:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:48:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:48:58 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:48:58 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:48:59 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:49:00 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:49:00 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:49:01 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:49:02 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Mon Jul 1 08:49:02 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 08:49:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Mon Jul 1 08:49:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 08:49:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Mon Jul 1 08:49:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 08:49:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Mon Jul 1 08:49:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 08:49:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Mon Jul 1 08:49:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 08:49:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Mon Jul 1 08:49:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 08:49:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Mon Jul 1 08:49:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 08:49:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Mon Jul 1 08:49:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 08:49:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Mon Jul 1 08:49:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 08:49:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Mon Jul 1 08:49:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 08:49:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Mon Jul 1 08:49:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 08:49:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Mon Jul 1 08:49:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 08:52:49 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:52:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:52:50 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:52:51 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:52:52 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:52:52 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:52:53 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:52:54 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:52:54 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Mon Jul 1 08:52:55 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 08:52:55 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Mon Jul 1 08:52:56 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 08:52:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Mon Jul 1 08:52:57 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 08:52:58 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Mon Jul 1 08:52:59 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 08:52:59 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Mon Jul 1 08:53:00 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 08:53:01 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Mon Jul 1 08:53:01 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 08:53:02 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Mon Jul 1 08:53:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 08:53:03 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Mon Jul 1 08:53:04 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 08:53:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Mon Jul 1 08:53:05 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 08:53:06 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Mon Jul 1 08:53:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 08:53:07 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Mon Jul 1 08:53:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 08:53:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Mon Jul 1 08:53:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 08:56:02 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Mon Jul 1 08:56:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 08:56:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Mon Jul 1 08:56:03 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 08:56:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Mon Jul 1 08:56:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 08:56:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Mon Jul 1 08:56:04 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 08:56:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Mon Jul 1 08:56:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 08:56:05 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Mon Jul 1 08:56:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 08:56:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Mon Jul 1 08:56:06 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 08:56:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Mon Jul 1 08:56:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 08:56:07 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Mon Jul 1 08:56:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 08:56:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Mon Jul 1 08:56:08 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 08:56:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Mon Jul 1 08:56:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 08:56:09 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Mon Jul 1 08:56:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 08:56:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Mon Jul 1 08:56:10 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 08:56:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Mon Jul 1 08:56:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 08:56:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Mon Jul 1 08:56:11 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 08:56:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Mon Jul 1 08:56:12 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 09:05:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 1.6706671183e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 6 6.4901875513e-09 -4.93e-03 2.23e-06 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.49019e-09 rel. change during last iteration : -4.92802e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01498e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03019e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.844389 +/- 1.724e-06 (0.0002042%) b[1] = 1.43934 +/- 8.148e-07 (5.661e-05%) c[1] = -0.967875 +/- 4.525e-06 (0.0004675%) d[1] = 0.0937674 +/- 1.279e-06 (0.001364%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.079 1.000 c[1] 0.078 -0.880 1.000 d[1] -0.160 0.197 -0.163 1.000 ******************************************************************************* Mon Jul 1 09:05:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476955071e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.0666206947e-12 -1.56e-05 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 8 iterations the fit converged. final sum of squares of residuals : 5.06662e-12 rel. change during last iteration : -1.55565e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.83589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.04226e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 4.946e-08 (4.946e-06%) bb[1] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[1] = -3.14159 +/- 9.945e-08 (3.165e-06%) dd[1] = 1.45105e-08 +/- 3.531e-08 (243.3%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 09:05:22 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056507571e-01 0.00e+00 2.36e+00 -8.443893e-01 1.439342e+00 -9.678755e-01 9.376740e-02 5 6.4938115173e-09 -2.17e-03 2.36e-05 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49381e-09 rel. change during last iteration : -2.16617e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01527e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.939378 +/- 1.723e-06 (0.0001834%) b[2] = 1.43934 +/- 7.368e-07 (5.119e-05%) c[2] = -0.834441 +/- 4.121e-06 (0.0004939%) d[2] = 0.0937674 +/- 1.28e-06 (0.001366%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.082 1.000 c[2] 0.073 -0.883 1.000 d[2] -0.163 0.200 -0.176 1.000 ******************************************************************************* Mon Jul 1 09:05:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.3451802868e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.2525827830e-12 -6.83e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.25258e-12 rel. change during last iteration : -6.83041e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88746e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33743e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.039e-08 (5.039e-06%) bb[2] = 1.43934 +/- 1.727e-08 (1.2e-06%) cc[2] = -3.14159 +/- 1.012e-07 (3.22e-06%) dd[2] = 1.45105e-08 +/- 3.594e-08 (247.7%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 09:05:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509678044e-01 0.00e+00 2.64e+00 -9.393777e-01 1.439342e+00 -8.344413e-01 9.376738e-02 5 6.4953580713e-09 -1.88e-03 2.64e-05 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49536e-09 rel. change during last iteration : -1.88498e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01539e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03101e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.857661 +/- 1.724e-06 (0.000201%) b[3] = 1.43934 +/- 8.05e-07 (5.593e-05%) c[3] = -0.947725 +/- 4.49e-06 (0.0004738%) d[3] = 0.0937674 +/- 1.28e-06 (0.001365%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.081 1.000 c[3] 0.077 -0.882 1.000 d[3] -0.162 0.199 -0.168 1.000 ******************************************************************************* Mon Jul 1 09:05:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2042793860e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.1491874704e-12 -2.91e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.14919e-12 rel. change during last iteration : -2.91371e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8589e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.17331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 4.993e-08 (4.993e-06%) bb[3] = 1.43934 +/- 1.705e-08 (1.185e-06%) cc[3] = -3.14159 +/- 1.001e-07 (3.185e-06%) dd[3] = 1.45105e-08 +/- 3.557e-08 (245.2%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 09:05:23 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393454872e-01 0.00e+00 2.41e+00 -8.576608e-01 1.439342e+00 -9.477245e-01 9.376744e-02 5 6.4356251366e-09 -3.14e-02 2.41e-05 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.43563e-09 rel. change during last iteration : -3.14007e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02153e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.774976 +/- 1.721e-06 (0.000222%) b[4] = 1.43934 +/- 8.74e-07 (6.072e-05%) c[4] = -1.11791 +/- 4.862e-06 (0.0004349%) d[4] = 0.0937675 +/- 1.272e-06 (0.001357%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.073 1.000 c[4] 0.078 -0.878 1.000 d[4] -0.155 0.191 -0.150 1.000 ******************************************************************************* Mon Jul 1 09:05:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.8690807832e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7414769977e-12 -2.88e-05 3.21e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.74148e-12 rel. change during last iteration : -2.8759e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01885e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11346e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.276e-08 (5.276e-06%) bb[4] = 1.43934 +/- 1.795e-08 (1.247e-06%) cc[4] = -3.14159 +/- 1.056e-07 (3.36e-06%) dd[4] = 1.45105e-08 +/- 3.756e-08 (258.8%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 09:05:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816054273e-01 0.00e+00 2.18e+00 -7.749758e-01 1.439342e+00 -1.117908e+00 9.376745e-02 5 6.4850022299e-09 -3.52e-04 2.18e-05 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.485e-09 rel. change during last iteration : -3.51553e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01458e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02937e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.722996 +/- 1.737e-06 (0.0002402%) b[5] = 1.43934 +/- 9.149e-07 (6.356e-05%) c[5] = -1.30223 +/- 5.092e-06 (0.000391%) d[5] = 0.0937675 +/- 1.273e-06 (0.001358%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.059 1.000 c[5] 0.072 -0.873 1.000 d[5] -0.143 0.175 -0.124 1.000 ******************************************************************************* Mon Jul 1 09:05:24 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4752878263e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 4.9933446345e-12 -1.38e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 4.99334e-12 rel. change during last iteration : -1.38147e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81531e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.92594e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.924e-08 (4.924e-06%) bb[5] = 1.43934 +/- 1.67e-08 (1.16e-06%) cc[5] = -3.14159 +/- 9.834e-08 (3.13e-06%) dd[5] = 1.45105e-08 +/- 3.501e-08 (241.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 09:05:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149242404e+00 0.00e+00 2.06e+00 -7.229959e-01 1.439342e+00 -1.302231e+00 9.376747e-02 6 6.4356971396e-09 -7.15e-07 2.06e-06 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.4357e-09 rel. change during last iteration : -7.14871e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01071e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02154e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = -0.706558 +/- 1.767e-06 (0.00025%) b[6] = 1.43934 +/- 8.535e-07 (5.93e-05%) c[6] = -1.73441 +/- 4.812e-06 (0.0002775%) d[6] = 0.0937675 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] -0.014 1.000 c[6] 0.041 -0.857 1.000 d[6] -0.096 0.118 -0.044 1.000 ******************************************************************************* Mon Jul 1 09:05:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 5.7808519009e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3437222907e-12 -1.63e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.34372e-12 rel. change during last iteration : -1.6266e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.9124e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.4821e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.098e-08 (5.098e-06%) bb[6] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[6] = -3.14159 +/- 1.016e-07 (3.235e-06%) dd[6] = 1.45105e-08 +/- 3.621e-08 (249.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 09:05:25 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387879707e+00 0.00e+00 2.11e+00 -7.065581e-01 1.439342e+00 -1.734405e+00 9.376746e-02 6 6.5503560212e-09 -3.67e-07 2.11e+02 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 After 6 iterations the fit converged. final sum of squares of residuals : 6.55036e-09 rel. change during last iteration : -3.66907e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01968e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03974e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = -0.827965 +/- 1.815e-06 (0.0002192%) b[7] = 1.43934 +/- 6.884e-07 (4.783e-05%) c[7] = -2.14123 +/- 3.969e-06 (0.0001854%) d[7] = 0.0937674 +/- 1.262e-06 (0.001346%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.018 1.000 c[7] 0.003 -0.849 1.000 d[7] -0.044 0.054 0.028 1.000 ******************************************************************************* Mon Jul 1 09:05:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.0671884577e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0022420234e-12 -3.47e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.00224e-12 rel. change during last iteration : -3.47156e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.81781e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.94007e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.936e-08 (4.936e-06%) bb[7] = 1.43934 +/- 1.662e-08 (1.155e-06%) cc[7] = -3.14159 +/- 9.824e-08 (3.127e-06%) dd[7] = 1.45105e-08 +/- 3.503e-08 (241.4%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 09:05:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4846997437e-02 0.00e+00 2.60e+00 -8.279646e-01 1.439342e+00 -2.141233e+00 9.376742e-02 5 6.4832554885e-09 -1.52e-05 2.60e-05 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.48326e-09 rel. change during last iteration : -1.52222e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01444e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02909e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = -0.845604 +/- 1.807e-06 (0.0002137%) b[8] = 1.43934 +/- 6.692e-07 (4.649e-05%) c[8] = -2.17385 +/- 3.868e-06 (0.0001779%) d[8] = 0.0937674 +/- 1.255e-06 (0.001339%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.019 1.000 c[8] 0.002 -0.850 1.000 d[8] -0.042 0.051 0.032 1.000 ******************************************************************************* Mon Jul 1 09:05:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.4793937961e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.3759117339e-12 -7.14e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.37591e-12 rel. change during last iteration : -7.1384e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92116e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.53319e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.12e-08 (5.12e-06%) bb[8] = 1.43934 +/- 1.719e-08 (1.194e-06%) cc[8] = -3.14159 +/- 1.017e-07 (3.239e-06%) dd[8] = 1.45105e-08 +/- 3.631e-08 (250.2%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 09:05:26 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368957319e-01 0.00e+00 2.66e+00 -8.456042e-01 1.439342e+00 -2.173848e+00 9.376743e-02 5 6.4969548529e-09 -6.78e-03 2.66e-05 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49695e-09 rel. change during last iteration : -6.78196e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01551e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03126e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = -0.761008 +/- 1.795e-06 (0.0002358%) b[9] = 1.43934 +/- 7.651e-07 (5.315e-05%) c[9] = -1.98676 +/- 4.379e-06 (0.0002204%) d[9] = 0.0937674 +/- 1.259e-06 (0.001343%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.006 1.000 c[9] 0.021 -0.853 1.000 d[9] -0.069 0.084 -0.004 1.000 ******************************************************************************* Mon Jul 1 09:05:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.2356509899e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.0239238383e-12 -3.54e-03 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.02392e-12 rel. change during last iteration : -3.54087e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.82391e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.97448e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 4.954e-08 (4.954e-06%) bb[9] = 1.43934 +/- 1.657e-08 (1.151e-06%) cc[9] = -3.14159 +/- 9.826e-08 (3.128e-06%) dd[9] = 1.45105e-08 +/- 3.509e-08 (241.8%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 09:05:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150165257e-01 0.00e+00 2.34e+00 -7.610079e-01 1.439342e+00 -1.986763e+00 9.376744e-02 5 6.4924274001e-09 -3.20e-04 2.34e-05 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.49243e-09 rel. change during last iteration : -3.19963e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01516e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03054e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = -0.736723 +/- 1.785e-06 (0.0002424%) b[10] = 1.43934 +/- 8.034e-07 (5.581e-05%) c[10] = -1.90526 +/- 4.581e-06 (0.0002404%) d[10] = 0.0937675 +/- 1.261e-06 (0.001344%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] -0.002 1.000 c[10] 0.030 -0.855 1.000 d[10] -0.081 0.099 -0.022 1.000 ******************************************************************************* Mon Jul 1 09:05:27 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.7894418283e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5383576774e-12 0.00e+00 3.25e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.53836e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.96497e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.79104e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.205e-08 (5.205e-06%) bb[10] = 1.43934 +/- 1.735e-08 (1.206e-06%) cc[10] = -3.14159 +/- 1.031e-07 (3.281e-06%) dd[10] = 1.45105e-08 +/- 3.683e-08 (253.8%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 09:05:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744645363e-03 0.00e+00 2.25e+00 -7.367229e-01 1.439342e+00 -1.905258e+00 9.376746e-02 4 6.4570464226e-09 -9.31e-01 2.25e-04 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 After 4 iterations the fit converged. final sum of squares of residuals : 6.45705e-09 rel. change during last iteration : -9.31439e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01239e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02493e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = -0.732354 +/- 1.778e-06 (0.0002428%) b[11] = 1.43934 +/- 8.106e-07 (5.632e-05%) c[11] = -1.88851 +/- 4.622e-06 (0.0002447%) d[11] = 0.0937674 +/- 1.258e-06 (0.001341%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] -0.005 1.000 c[11] 0.033 -0.856 1.000 d[11] -0.085 0.104 -0.028 1.000 ******************************************************************************* Mon Jul 1 09:05:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.7068045660e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.5873006759e-12 -2.96e-05 3.26e+01 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.5873e-12 rel. change during last iteration : -2.96362e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97804e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.86873e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.231e-08 (5.231e-06%) bb[11] = 1.43934 +/- 1.739e-08 (1.208e-06%) cc[11] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[11] = 1.45105e-08 +/- 3.699e-08 (254.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 09:05:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223927833e-01 0.00e+00 2.23e+00 -7.323538e-01 1.439342e+00 -1.888509e+00 9.376745e-02 5 6.5210671482e-09 -8.11e-04 2.23e-05 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.52107e-09 rel. change during last iteration : -8.10968e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01739e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03509e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = -0.703421 +/- 1.769e-06 (0.0002515%) b[12] = 1.43934 +/- 8.805e-07 (6.118e-05%) c[12] = -1.72044 +/- 4.987e-06 (0.0002899%) d[12] = 0.0937675 +/- 1.268e-06 (0.001353%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] -0.024 1.000 c[12] 0.050 -0.863 1.000 d[12] -0.108 0.132 -0.064 1.000 ******************************************************************************* Mon Jul 1 09:05:28 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7552367603e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.7398417290e-12 -1.40e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.73984e-12 rel. change during last iteration : -1.40394e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.01842e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.11086e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.306e-08 (5.306e-06%) bb[12] = 1.43934 +/- 1.758e-08 (1.221e-06%) cc[12] = -3.14159 +/- 1.047e-07 (3.334e-06%) dd[12] = 1.45105e-08 +/- 3.748e-08 (258.3%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 09:05:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782575937e-01 0.00e+00 2.10e+00 -7.034210e-01 1.439342e+00 -1.720436e+00 9.376746e-02 5 6.4493787860e-09 -1.57e-04 2.10e-05 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44938e-09 rel. change during last iteration : -1.56742e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01179e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02371e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = -0.695975 +/- 1.748e-06 (0.0002511%) b[13] = 1.43934 +/- 9.1e-07 (6.322e-05%) c[13] = -1.60685 +/- 5.14e-06 (0.0003199%) d[13] = 0.0937675 +/- 1.265e-06 (0.001349%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] -0.038 1.000 c[13] 0.060 -0.868 1.000 d[13] -0.123 0.150 -0.089 1.000 ******************************************************************************* Mon Jul 1 09:05:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.5615995208e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4699075785e-12 -3.63e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.46991e-12 rel. change during last iteration : -3.63243e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94659e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.68239e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.183e-08 (5.183e-06%) bb[13] = 1.43934 +/- 1.712e-08 (1.189e-06%) cc[13] = -3.14159 +/- 1.022e-07 (3.252e-06%) dd[13] = 1.45105e-08 +/- 3.658e-08 (252.1%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 09:05:29 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854163379e-01 0.00e+00 2.05e+00 -6.959751e-01 1.439342e+00 -1.606854e+00 9.376746e-02 5 6.5517497262e-09 -2.51e-03 2.05e-05 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55175e-09 rel. change during last iteration : -2.50506e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01978e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.03996e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = -0.706153 +/- 1.773e-06 (0.0002511%) b[14] = 1.43934 +/- 8.796e-07 (6.111e-05%) c[14] = -1.74497 +/- 4.995e-06 (0.0002863%) d[14] = 0.0937674 +/- 1.271e-06 (0.001356%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.024 1.000 c[14] 0.050 -0.864 1.000 d[14] -0.109 0.132 -0.064 1.000 ******************************************************************************* Mon Jul 1 09:05:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.6056283774e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4052397361e-12 -6.01e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.40524e-12 rel. change during last iteration : -6.01086e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.92912e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.57975e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.156e-08 (5.156e-06%) bb[14] = 1.43934 +/- 1.697e-08 (1.179e-06%) cc[14] = -3.14159 +/- 1.015e-07 (3.23e-06%) dd[14] = 1.45105e-08 +/- 3.636e-08 (250.6%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 09:05:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2843838487e-02 0.00e+00 2.11e+00 -7.061528e-01 1.439342e+00 -1.744970e+00 9.376744e-02 5 6.4489158800e-09 -6.16e-05 2.11e-05 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.44892e-09 rel. change during last iteration : -6.16413e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.01175e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.02364e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = -0.714097 +/- 1.763e-06 (0.0002469%) b[15] = 1.43934 +/- 8.552e-07 (5.941e-05%) c[15] = -1.8006 +/- 4.872e-06 (0.0002706%) d[15] = 0.0937674 +/- 1.26e-06 (0.001344%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.020 1.000 c[15] 0.046 -0.863 1.000 d[15] -0.103 0.126 -0.056 1.000 ******************************************************************************* Mon Jul 1 09:05:30 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6612727824e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.6257567807e-12 0.00e+00 3.29e+02 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.62576e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.98827e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.92977e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.264e-08 (5.264e-06%) bb[15] = 1.43934 +/- 1.728e-08 (1.2e-06%) cc[15] = -3.14159 +/- 1.034e-07 (3.292e-06%) dd[15] = 1.45105e-08 +/- 3.708e-08 (255.6%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 09:05:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361952031e+00 0.00e+00 2.15e+00 -7.140969e-01 1.439342e+00 -1.800596e+00 9.376743e-02 5 6.5567920136e-09 -4.70e-01 2.15e-05 -7.015599e-01 1.439342e+00 -1.436741e+00 9.376743e-02 After 5 iterations the fit converged. final sum of squares of residuals : 6.55679e-09 rel. change during last iteration : -4.69599e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.02018e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04076e-10 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.70156 +/- 1.746e-06 (0.0002488%) b[16] = 1.43934 +/- 9.504e-07 (6.603e-05%) c[16] = -1.43674 +/- 5.374e-06 (0.000374%) d[16] = 0.0937674 +/- 1.281e-06 (0.001366%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] -0.060 1.000 c[16] 0.073 -0.877 1.000 d[16] -0.144 0.176 -0.127 1.000 ******************************************************************************* Mon Jul 1 09:05:31 2024 FIT: data read from 'tbt_9.1584E-06_bl_bz_0._br_bz_1._0_-7000000._eta_0._radial_frac_1.' u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.7538141777e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 3 5.4801428523e-12 -2.52e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 1.451050e-08 After 3 iterations the fit converged. final sum of squares of residuals : 5.48014e-12 rel. change during last iteration : -2.52273e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94935e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.69864e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.199e-08 (5.199e-06%) bb[16] = 1.43934 +/- 1.701e-08 (1.182e-06%) cc[16] = -3.14159 +/- 1.02e-07 (3.246e-06%) dd[16] = 1.45105e-08 +/- 3.659e-08 (252.2%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000 ******************************************************************************* Mon Jul 1 09:06:08 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[1] b[1] c[1] d[1] 0 3.0771973281e+01 0.00e+00 2.23e+00 -7.323537e-01 1.439342e+00 -1.888507e+00 9.376746e-02 18 5.5249035906e-11 -7.27e-05 2.23e-08 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 After 18 iterations the fit converged. final sum of squares of residuals : 5.5249e-11 rel. change during last iteration : -7.26938e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.36466e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.76969e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[1] = -0.478814 +/- 1.633e-07 (3.411e-05%) b[1] = 1.43934 +/- 1.173e-07 (8.147e-06%) c[1] = 0.00118704 +/- 6.857e-07 (0.05776%) d[1] = 0.0937684 +/- 1.166e-07 (0.0001243%) correlation matrix of the fit parameters: a[1] b[1] c[1] d[1] a[1] 1.000 b[1] -0.015 1.000 c[1] -0.015 -0.868 1.000 d[1] -0.101 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 09:06:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[1] bb[1] cc[1] dd[1] 0 5.1476956220e+01 0.00e+00 3.04e+00 1.000000e+00 1.439342e+00 -1.888507e+00 1.000000e-01 8 5.3163075766e-12 -3.96e-06 3.04e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 8 iterations the fit converged. final sum of squares of residuals : 5.31631e-12 rel. change during last iteration : -3.95924e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90492e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.43858e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[1] = 1 +/- 5.066e-08 (5.066e-06%) bb[1] = 1.43934 +/- 1.742e-08 (1.21e-06%) cc[1] = -3.14159 +/- 1.019e-07 (3.242e-06%) dd[1] = -6.12267e-09 +/- 3.616e-08 (590.7%) correlation matrix of the fit parameters: aa[1] bb[1] cc[1] dd[1] aa[1] 1.000 bb[1] 0.018 1.000 cc[1] 0.012 -0.869 1.000 dd[1] 0.102 0.121 -0.158 1.000 ******************************************************************************* Mon Jul 1 09:06:09 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[2] b[2] c[2] d[2] 0 7.7056546547e-01 0.00e+00 1.43e+00 -4.788137e-01 1.439342e+00 1.187039e-03 9.376836e-02 8 5.7651564457e-11 -4.08e-07 1.43e-08 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.76516e-11 rel. change during last iteration : -4.08131e-12 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56611e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.15104e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[2] = -0.63088 +/- 1.67e-07 (2.647e-05%) b[2] = 1.43934 +/- 9.068e-08 (6.3e-06%) c[2] = 0.000114342 +/- 5.312e-07 (0.4646%) d[2] = 0.0937684 +/- 1.191e-07 (0.000127%) correlation matrix of the fit parameters: a[2] b[2] c[2] d[2] a[2] 1.000 b[2] -0.014 1.000 c[2] -0.016 -0.868 1.000 d[2] -0.099 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 09:06:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[2] bb[2] cc[2] dd[2] 0 5.6177965009e-12 0.00e+00 3.19e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4862769709e-12 -2.68e-03 3.19e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.48628e-12 rel. change during last iteration : -2.68092e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.951e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.70838e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[2] = 1 +/- 5.15e-08 (5.15e-06%) bb[2] = 1.43934 +/- 1.765e-08 (1.226e-06%) cc[2] = -3.14159 +/- 1.034e-07 (3.291e-06%) dd[2] = -6.12267e-09 +/- 3.673e-08 (599.9%) correlation matrix of the fit parameters: aa[2] bb[2] cc[2] dd[2] aa[2] 1.000 bb[2] 0.017 1.000 cc[2] 0.013 -0.868 1.000 dd[2] 0.100 0.119 -0.157 1.000 ******************************************************************************* Mon Jul 1 09:06:10 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[3] b[3] c[3] d[3] 0 5.6509671956e-01 0.00e+00 1.89e+00 -6.308802e-01 1.439342e+00 1.143415e-04 9.376837e-02 9 5.5617849084e-11 -2.61e-06 1.89e+01 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.56178e-11 rel. change during last iteration : -2.60658e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.39587e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.82823e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[3] = -0.500475 +/- 1.641e-07 (3.279e-05%) b[3] = 1.43934 +/- 1.12e-07 (7.78e-06%) c[3] = -0.000839981 +/- 6.572e-07 (0.07823%) d[3] = 0.0937684 +/- 1.169e-07 (0.0001247%) correlation matrix of the fit parameters: a[3] b[3] c[3] d[3] a[3] 1.000 b[3] -0.013 1.000 c[3] -0.017 -0.868 1.000 d[3] -0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 09:06:11 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[3] bb[3] cc[3] dd[3] 0 5.2947834550e-12 0.00e+00 3.20e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2713151805e-12 -1.73e-03 3.20e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.27132e-12 rel. change during last iteration : -1.73252e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89261e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.36717e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[3] = 1 +/- 5.052e-08 (5.052e-06%) bb[3] = 1.43934 +/- 1.725e-08 (1.199e-06%) cc[3] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[3] = -6.12267e-09 +/- 3.599e-08 (587.9%) correlation matrix of the fit parameters: aa[3] bb[3] cc[3] dd[3] aa[3] 1.000 bb[3] 0.015 1.000 cc[3] 0.014 -0.868 1.000 dd[3] 0.098 0.117 -0.156 1.000 ******************************************************************************* Mon Jul 1 09:06:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[4] b[4] c[4] d[4] 0 8.6393395623e-01 0.00e+00 1.51e+00 -5.004751e-01 1.439342e+00 -8.399814e-04 9.376835e-02 8 5.7447837339e-11 -6.62e-05 1.51e-08 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.74478e-11 rel. change during last iteration : -6.61956e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54919e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.1187e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[4] = -0.339105 +/- 1.669e-07 (4.922e-05%) b[4] = 1.43934 +/- 1.676e-07 (1.164e-05%) c[4] = -0.00227308 +/- 9.85e-07 (0.04333%) d[4] = 0.0937684 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[4] b[4] c[4] d[4] a[4] 1.000 b[4] -0.011 1.000 c[4] -0.018 -0.868 1.000 d[4] -0.096 0.116 -0.155 1.000 ******************************************************************************* Mon Jul 1 09:06:12 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[4] bb[4] cc[4] dd[4] 0 5.7420328354e-12 0.00e+00 3.21e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6502203671e-12 -8.55e-06 3.21e+02 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.65022e-12 rel. change during last iteration : -8.54564e-11 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99476e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9686e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[4] = 1 +/- 5.234e-08 (5.234e-06%) bb[4] = 1.43934 +/- 1.781e-08 (1.237e-06%) cc[4] = -3.14159 +/- 1.047e-07 (3.333e-06%) dd[4] = -6.12267e-09 +/- 3.726e-08 (608.5%) correlation matrix of the fit parameters: aa[4] bb[4] cc[4] dd[4] aa[4] 1.000 bb[4] 0.014 1.000 cc[4] 0.015 -0.868 1.000 dd[4] 0.097 0.115 -0.155 1.000 ******************************************************************************* Mon Jul 1 09:06:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[5] b[5] c[5] d[5] 0 7.1816026019e-01 0.00e+00 1.02e+00 -3.391051e-01 1.439342e+00 -2.273084e-03 9.376835e-02 8 5.7878184565e-11 0.00e+00 1.02e+03 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.78782e-11 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.58489e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.18701e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[5] = -0.191851 +/- 1.676e-07 (8.737e-05%) b[5] = 1.43934 +/- 2.966e-07 (2.061e-05%) c[5] = -0.00521994 +/- 1.747e-06 (0.03346%) d[5] = 0.0937684 +/- 1.192e-07 (0.0001271%) correlation matrix of the fit parameters: a[5] b[5] c[5] d[5] a[5] 1.000 b[5] -0.010 1.000 c[5] -0.019 -0.868 1.000 d[5] -0.095 0.114 -0.154 1.000 ******************************************************************************* Mon Jul 1 09:06:13 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[5] bb[5] cc[5] dd[5] 0 5.4461102204e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 4.9314102104e-12 -1.48e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 4.93141e-12 rel. change during last iteration : -1.47931e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79779e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 7.82764e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[5] = 1 +/- 4.894e-08 (4.894e-06%) bb[5] = 1.43934 +/- 1.659e-08 (1.153e-06%) cc[5] = -3.14159 +/- 9.773e-08 (3.111e-06%) dd[5] = -6.12267e-09 +/- 3.48e-08 (568.3%) correlation matrix of the fit parameters: aa[5] bb[5] cc[5] dd[5] aa[5] 1.000 bb[5] 0.013 1.000 cc[5] 0.016 -0.868 1.000 dd[5] 0.095 0.113 -0.153 1.000 ******************************************************************************* Mon Jul 1 09:06:14 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[6] b[6] c[6] d[6] 0 3.1149240558e+00 0.00e+00 5.82e-01 -1.918509e-01 1.439342e+00 -5.219936e-03 9.376836e-02 7 5.7355500313e-11 -9.24e-02 5.82e-08 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.73555e-11 rel. change during last iteration : -9.24034e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.54151e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.10405e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[6] = 0.115086 +/- 1.671e-07 (0.0001452%) b[6] = 1.43934 +/- 4.895e-07 (3.401e-05%) c[6] = 0.00909142 +/- 2.889e-06 (0.03177%) d[6] = 0.0937684 +/- 1.186e-07 (0.0001265%) correlation matrix of the fit parameters: a[6] b[6] c[6] d[6] a[6] 1.000 b[6] 0.008 1.000 c[6] 0.021 -0.868 1.000 d[6] -0.092 -0.110 0.151 1.000 ******************************************************************************* Mon Jul 1 09:06:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[6] bb[6] cc[6] dd[6] 0 6.1200133418e-12 0.00e+00 3.22e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3096734435e-12 -2.14e-02 3.22e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.30967e-12 rel. change during last iteration : -2.13793e-07 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90311e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.42805e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[6] = 1 +/- 5.082e-08 (5.082e-06%) bb[6] = 1.43934 +/- 1.717e-08 (1.193e-06%) cc[6] = -3.14159 +/- 1.013e-07 (3.225e-06%) dd[6] = -6.12267e-09 +/- 3.61e-08 (589.6%) correlation matrix of the fit parameters: aa[6] bb[6] cc[6] dd[6] aa[6] 1.000 bb[6] 0.011 1.000 cc[6] 0.017 -0.868 1.000 dd[6] 0.093 0.111 -0.152 1.000 ******************************************************************************* Mon Jul 1 09:06:15 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[7] b[7] c[7] d[7] 0 3.6387872260e+00 0.00e+00 3.52e-01 1.150865e-01 1.439342e+00 9.091422e-03 9.376836e-02 6 5.7501713715e-11 -2.32e-01 3.52e-07 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.75017e-11 rel. change during last iteration : -2.31894e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.55367e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.12726e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[7] = 0.447099 +/- 1.674e-07 (3.744e-05%) b[7] = 1.43934 +/- 1.26e-07 (8.755e-06%) c[7] = 0.00177236 +/- 7.447e-07 (0.04202%) d[7] = 0.0937683 +/- 1.188e-07 (0.0001267%) correlation matrix of the fit parameters: a[7] b[7] c[7] d[7] a[7] 1.000 b[7] 0.007 1.000 c[7] 0.021 -0.868 1.000 d[7] -0.091 -0.109 0.151 1.000 ******************************************************************************* Mon Jul 1 09:06:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[7] bb[7] cc[7] dd[7] 0 5.2731771661e-12 0.00e+00 3.23e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.1319051022e-12 -2.27e-03 3.23e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.13191e-12 rel. change during last iteration : -2.27485e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8541e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14588e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[7] = 1 +/- 4.999e-08 (4.999e-06%) bb[7] = 1.43934 +/- 1.684e-08 (1.17e-06%) cc[7] = -3.14159 +/- 9.95e-08 (3.167e-06%) dd[7] = -6.12267e-09 +/- 3.548e-08 (579.5%) correlation matrix of the fit parameters: aa[7] bb[7] cc[7] dd[7] aa[7] 1.000 bb[7] 0.010 1.000 cc[7] 0.018 -0.868 1.000 dd[7] 0.092 0.109 -0.151 1.000 ******************************************************************************* Mon Jul 1 09:06:16 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[8] b[8] c[8] d[8] 0 3.4847005039e-02 0.00e+00 1.36e+00 4.470993e-01 1.439342e+00 1.772356e-03 9.376835e-02 7 5.7643639568e-11 -1.81e-01 1.36e-07 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76436e-11 rel. change during last iteration : -1.80617e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56545e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14978e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[8] = 0.47959 +/- 1.677e-07 (3.497e-05%) b[8] = 1.43934 +/- 1.173e-07 (8.152e-06%) c[8] = 0.000772276 +/- 6.946e-07 (0.08994%) d[8] = 0.0937684 +/- 1.189e-07 (0.0001268%) correlation matrix of the fit parameters: a[8] b[8] c[8] d[8] a[8] 1.000 b[8] 0.006 1.000 c[8] 0.022 -0.868 1.000 d[8] -0.089 -0.107 0.150 1.000 ******************************************************************************* Mon Jul 1 09:06:17 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[8] bb[8] cc[8] dd[8] 0 5.3835732682e-12 0.00e+00 3.24e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3232381222e-12 -1.76e-04 3.24e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.32324e-12 rel. change during last iteration : -1.76087e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90682e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.44958e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[8] = 1 +/- 5.095e-08 (5.095e-06%) bb[8] = 1.43934 +/- 1.71e-08 (1.188e-06%) cc[8] = -3.14159 +/- 1.012e-07 (3.223e-06%) dd[8] = -6.12267e-09 +/- 3.613e-08 (590.1%) correlation matrix of the fit parameters: aa[8] bb[8] cc[8] dd[8] aa[8] 1.000 bb[8] 0.009 1.000 cc[8] 0.019 -0.868 1.000 dd[8] 0.090 0.107 -0.150 1.000 ******************************************************************************* Mon Jul 1 09:06:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[9] b[9] c[9] d[9] 0 9.7368909249e-01 0.00e+00 1.46e+00 4.795898e-01 1.439342e+00 7.722764e-04 9.376835e-02 8 5.6503445887e-11 -4.39e-04 1.46e-08 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.65034e-11 rel. change during last iteration : -4.38976e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.47038e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.9688e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[9] = 0.307502 +/- 1.661e-07 (5.403e-05%) b[9] = 1.43934 +/- 1.807e-07 (1.256e-05%) c[9] = 0.000121369 +/- 1.072e-06 (0.883%) d[9] = 0.0937684 +/- 1.177e-07 (0.0001255%) correlation matrix of the fit parameters: a[9] b[9] c[9] d[9] a[9] 1.000 b[9] 0.005 1.000 c[9] 0.023 -0.868 1.000 d[9] -0.088 -0.105 0.149 1.000 ******************************************************************************* Mon Jul 1 09:06:18 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[9] bb[9] cc[9] dd[9] 0 5.3804530549e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.3310486186e-12 -7.51e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.33105e-12 rel. change during last iteration : -7.50768e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.90895e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46198e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[9] = 1 +/- 5.103e-08 (5.103e-06%) bb[9] = 1.43934 +/- 1.707e-08 (1.186e-06%) cc[9] = -3.14159 +/- 1.012e-07 (3.222e-06%) dd[9] = -6.12267e-09 +/- 3.615e-08 (590.4%) correlation matrix of the fit parameters: aa[9] bb[9] cc[9] dd[9] aa[9] 1.000 bb[9] 0.007 1.000 cc[9] 0.020 -0.868 1.000 dd[9] 0.088 0.105 -0.149 1.000 ******************************************************************************* Mon Jul 1 09:06:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[10] b[10] c[10] d[10] 0 1.4150168762e-01 0.00e+00 9.40e-01 3.075016e-01 1.439342e+00 1.213688e-04 9.376836e-02 9 5.7326852176e-11 -5.06e-05 9.40e-10 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 After 9 iterations the fit converged. final sum of squares of residuals : 5.73269e-11 rel. change during last iteration : -5.0623e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.53913e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.0995e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[10] = 0.241835 +/- 1.675e-07 (6.924e-05%) b[10] = 1.43934 +/- 2.309e-07 (1.604e-05%) c[10] = -0.000733846 +/- 1.371e-06 (0.1869%) d[10] = 0.0937684 +/- 1.185e-07 (0.0001264%) correlation matrix of the fit parameters: a[10] b[10] c[10] d[10] a[10] 1.000 b[10] 0.003 1.000 c[10] 0.024 -0.868 1.000 d[10] -0.086 -0.103 0.148 1.000 ******************************************************************************* Mon Jul 1 09:06:19 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[10] bb[10] cc[10] dd[10] 0 5.4874960581e-12 0.00e+00 3.25e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.4600099190e-12 -2.89e-04 3.25e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.46001e-12 rel. change during last iteration : -2.88524e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.94392e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.66668e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[10] = 1 +/- 5.168e-08 (5.168e-06%) bb[10] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[10] = -3.14159 +/- 1.023e-07 (3.258e-06%) dd[10] = -6.12267e-09 +/- 3.657e-08 (597.3%) correlation matrix of the fit parameters: aa[10] bb[10] cc[10] dd[10] aa[10] 1.000 bb[10] 0.006 1.000 cc[10] 0.021 -0.868 1.000 dd[10] 0.086 0.103 -0.148 1.000 ******************************************************************************* Mon Jul 1 09:06:20 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[11] b[11] c[11] d[11] 0 5.5744251841e-03 0.00e+00 7.42e-01 2.418349e-01 1.439342e+00 -7.338456e-04 9.376836e-02 8 5.8374877648e-11 -1.15e-04 7.42e-09 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.83749e-11 rel. change during last iteration : -1.15182e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.62593e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.26585e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[11] = 0.228781 +/- 1.691e-07 (7.391e-05%) b[11] = 1.43934 +/- 2.457e-07 (1.707e-05%) c[11] = -0.00164008 +/- 1.462e-06 (0.08913%) d[11] = 0.0937684 +/- 1.196e-07 (0.0001275%) correlation matrix of the fit parameters: a[11] b[11] c[11] d[11] a[11] 1.000 b[11] 0.002 1.000 c[11] 0.025 -0.868 1.000 d[11] -0.084 -0.101 0.146 1.000 ******************************************************************************* Mon Jul 1 09:06:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[11] bb[11] cc[11] dd[11] 0 5.3030808103e-12 0.00e+00 3.26e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2547347764e-12 0.00e+00 3.26e+03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.25473e-12 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.88805e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.34085e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[11] = 1 +/- 5.073e-08 (5.073e-06%) bb[11] = 1.43934 +/- 1.686e-08 (1.171e-06%) cc[11] = -3.14159 +/- 1.003e-07 (3.193e-06%) dd[11] = -6.12267e-09 +/- 3.587e-08 (585.9%) correlation matrix of the fit parameters: aa[11] bb[11] cc[11] dd[11] aa[11] 1.000 bb[11] 0.005 1.000 cc[11] 0.022 -0.868 1.000 dd[11] 0.085 0.100 -0.146 1.000 ******************************************************************************* Mon Jul 1 09:06:21 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[12] b[12] c[12] d[12] 0 5.0223944294e-01 0.00e+00 7.03e-01 2.287813e-01 1.439342e+00 -1.640078e-03 9.376836e-02 8 5.8946848532e-11 -1.84e-04 7.03e-09 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.89468e-11 rel. change during last iteration : -1.83888e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67297e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.35664e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[12] = 0.104866 +/- 1.7e-07 (0.0001621%) b[12] = 1.43934 +/- 5.377e-07 (3.735e-05%) c[12] = -0.00492553 +/- 3.204e-06 (0.06504%) d[12] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[12] b[12] c[12] d[12] a[12] 1.000 b[12] 0.001 1.000 c[12] 0.025 -0.868 1.000 d[12] -0.083 -0.099 0.145 1.000 ******************************************************************************* Mon Jul 1 09:06:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[12] bb[12] cc[12] dd[12] 0 5.7747446175e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.6329935361e-12 -1.33e-03 3.27e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.63299e-12 rel. change during last iteration : -1.33333e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.99019e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.94126e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[12] = 1 +/- 5.256e-08 (5.256e-06%) bb[12] = 1.43934 +/- 1.741e-08 (1.21e-06%) cc[12] = -3.14159 +/- 1.038e-07 (3.303e-06%) dd[12] = -6.12267e-09 +/- 3.713e-08 (606.4%) correlation matrix of the fit parameters: aa[12] bb[12] cc[12] dd[12] aa[12] 1.000 bb[12] 0.004 1.000 cc[12] 0.022 -0.868 1.000 dd[12] 0.083 0.098 -0.145 1.000 ******************************************************************************* Mon Jul 1 09:06:22 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[13] b[13] c[13] d[13] 0 2.0782542125e-01 0.00e+00 3.26e-01 1.048663e-01 1.439342e+00 -4.925529e-03 9.376836e-02 8 5.9060171628e-11 -5.14e-05 3.26e-09 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 After 8 iterations the fit converged. final sum of squares of residuals : 5.90602e-11 rel. change during last iteration : -5.13753e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.68227e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.37463e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[13] = 0.0250936 +/- 1.701e-07 (0.000678%) b[13] = 1.43934 +/- 2.251e-06 (0.0001564%) c[13] = -0.0220766 +/- 1.343e-05 (0.06082%) d[13] = 0.0937684 +/- 1.202e-07 (0.0001282%) correlation matrix of the fit parameters: a[13] b[13] c[13] d[13] a[13] 1.000 b[13] 0.002 1.000 c[13] 0.025 -0.869 1.000 d[13] -0.084 -0.100 0.146 1.000 ******************************************************************************* Mon Jul 1 09:06:23 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[13] bb[13] cc[13] dd[13] 0 5.4426611080e-12 0.00e+00 3.27e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.2865735689e-12 -2.52e-05 3.27e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.28657e-12 rel. change during last iteration : -2.52418e-10 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.89679e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.39139e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[13] = 1 +/- 5.096e-08 (5.096e-06%) bb[13] = 1.43934 +/- 1.683e-08 (1.169e-06%) cc[13] = -3.14159 +/- 1.004e-07 (3.197e-06%) dd[13] = -6.12267e-09 +/- 3.596e-08 (587.4%) correlation matrix of the fit parameters: aa[13] bb[13] cc[13] dd[13] aa[13] 1.000 bb[13] 0.002 1.000 cc[13] 0.023 -0.868 1.000 dd[13] 0.081 0.096 -0.144 1.000 ******************************************************************************* Mon Jul 1 09:06:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[14] b[14] c[14] d[14] 0 3.0854167371e-01 0.00e+00 9.03e-02 2.509356e-02 1.439342e+00 -2.207661e-02 9.376836e-02 6 5.9019257347e-11 -1.32e-04 9.03e-04 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.90193e-11 rel. change during last iteration : -1.318e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.67891e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.36814e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[14] = 0.122372 +/- 1.703e-07 (0.0001392%) b[14] = 1.43934 +/- 4.588e-07 (3.187e-05%) c[14] = -0.00496548 +/- 2.742e-06 (0.05522%) d[14] = 0.0937684 +/- 1.201e-07 (0.0001281%) correlation matrix of the fit parameters: a[14] b[14] c[14] d[14] a[14] 1.000 b[14] -0.001 1.000 c[14] 0.027 -0.868 1.000 d[14] -0.080 -0.095 0.143 1.000 ******************************************************************************* Mon Jul 1 09:06:24 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[14] bb[14] cc[14] dd[14] 0 5.7059719376e-12 0.00e+00 3.28e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5686597098e-12 -4.54e-03 3.28e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56866e-12 rel. change during last iteration : -4.53557e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97307e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83914e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[14] = 1 +/- 5.233e-08 (5.233e-06%) bb[14] = 1.43934 +/- 1.723e-08 (1.197e-06%) cc[14] = -3.14159 +/- 1.03e-07 (3.278e-06%) dd[14] = -6.12267e-09 +/- 3.69e-08 (602.7%) correlation matrix of the fit parameters: aa[14] bb[14] cc[14] dd[14] aa[14] 1.000 bb[14] 0.001 1.000 cc[14] 0.024 -0.868 1.000 dd[14] 0.079 0.094 -0.143 1.000 ******************************************************************************* Mon Jul 1 09:06:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[15] b[15] c[15] d[15] 0 5.2844035565e-02 0.00e+00 3.81e-01 1.223717e-01 1.439342e+00 -4.965483e-03 9.376836e-02 6 5.9571190165e-11 -7.95e-01 3.81e-07 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 After 6 iterations the fit converged. final sum of squares of residuals : 5.95712e-11 rel. change during last iteration : -7.95305e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.72407e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.45574e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[15] = 0.162659 +/- 1.713e-07 (0.0001053%) b[15] = 1.43934 +/- 3.459e-07 (2.403e-05%) c[15] = -0.00462261 +/- 2.071e-06 (0.04479%) d[15] = 0.0937684 +/- 1.207e-07 (0.0001287%) correlation matrix of the fit parameters: a[15] b[15] c[15] d[15] a[15] 1.000 b[15] -0.002 1.000 c[15] 0.028 -0.868 1.000 d[15] -0.078 -0.093 0.142 1.000 ******************************************************************************* Mon Jul 1 09:06:25 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[15] bb[15] cc[15] dd[15] 0 5.6411684252e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5649849363e-12 -5.60e-03 3.29e-03 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.56498e-12 rel. change during last iteration : -5.59733e-08 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97209e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.83331e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[15] = 1 +/- 5.235e-08 (5.235e-06%) bb[15] = 1.43934 +/- 1.718e-08 (1.194e-06%) cc[15] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[15] = -6.12267e-09 +/- 3.688e-08 (602.4%) correlation matrix of the fit parameters: aa[15] bb[15] cc[15] dd[15] aa[15] 1.000 bb[15] 0.000 1.000 cc[15] 0.025 -0.868 1.000 dd[15] 0.078 0.092 -0.141 1.000 ******************************************************************************* Mon Jul 1 09:06:26 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $11*factory2:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a[i]*cos(b[i]*x+c[i])+d[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda a[16] b[16] c[16] d[16] 0 2.1361942158e+00 0.00e+00 5.06e-01 1.626586e-01 1.439342e+00 -4.622607e-03 9.376835e-02 7 5.7635437172e-11 -1.32e-01 5.06e-08 -9.377175e-02 1.439342e+00 8.653387e-03 9.376836e-02 After 7 iterations the fit converged. final sum of squares of residuals : 5.76354e-11 rel. change during last iteration : -1.32442e-06 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 9.56477e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 9.14848e-13 Final set of parameters Asymptotic Standard Error ======================= ========================== a[16] = -0.0937717 +/- 1.687e-07 (0.0001799%) b[16] = 1.43934 +/- 5.874e-07 (4.081e-05%) c[16] = 0.00865339 +/- 3.522e-06 (0.0407%) d[16] = 0.0937684 +/- 1.187e-07 (0.0001265%) correlation matrix of the fit parameters: a[16] b[16] c[16] d[16] a[16] 1.000 b[16] 0.004 1.000 c[16] -0.029 -0.867 1.000 d[16] -0.074 0.088 -0.139 1.000 ******************************************************************************* Mon Jul 1 09:06:27 2024 FIT: data read from file u ($14*1.e6):($2 == i ? $12:1/0) format = x:z x range restricted to [0.00000 : 10.0000] #datapoints = 67 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa[i]*cos(bb[i]*x+cc[i])+dd[i] fitted parameters initialized with current variable values iter chisq delta/lim lambda aa[16] bb[16] cc[16] dd[16] 0 5.6126226970e-12 0.00e+00 3.29e+00 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 3 5.5751983563e-12 -1.06e-04 3.29e+01 1.000000e+00 1.439342e+00 -3.141593e+00 -6.122666e-09 After 3 iterations the fit converged. final sum of squares of residuals : 5.5752e-12 rel. change during last iteration : -1.05636e-09 degrees of freedom (FIT_NDF) : 63 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.97481e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.84952e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== aa[16] = 1 +/- 5.244e-08 (5.244e-06%) bb[16] = 1.43934 +/- 1.716e-08 (1.192e-06%) cc[16] = -3.14159 +/- 1.029e-07 (3.274e-06%) dd[16] = -6.12267e-09 +/- 3.691e-08 (602.8%) correlation matrix of the fit parameters: aa[16] bb[16] cc[16] dd[16] aa[16] 1.000 bb[16] -0.001 1.000 cc[16] 0.025 -0.868 1.000 dd[16] 0.076 0.090 -0.140 1.000