******************************************************************************* Fri Jan 31 10:14:47 2025 FIT: data read from '20250127_153315/spin_vs_momentum_at_time.dat' u 3:4 i 9:9 format = x:z x range restricted to [-0.00300000 : 0.00400000] #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x BREAK: Need via and either parameter list or file ******************************************************************************* Fri Jan 31 10:15:08 2025 FIT: data read from '20250127_153315/spin_vs_momentum_at_time.dat' u 3:4 i 9:9 format = x:z x range restricted to [-0.00300000 : 0.00400000] #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x BREAK: Need via and either parameter list or file ******************************************************************************* Sat Feb 1 11:12:38 2025 FIT: data read from 'spin_vs_momentum_2.6026E-05.dat' u 3:4 format = x:z #datapoints = 68 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0671036644e+05 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 5 3.0912681742e-01 -1.52e-03 7.07e-06 4.061557e+01 -4.225854e+00 After 5 iterations the fit converged. final sum of squares of residuals : 0.309127 rel. change during last iteration : -1.52348e-08 degrees of freedom (FIT_NDF) : 66 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0684379 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00468374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6156 +/- 0.008521 (0.02098%) b = -4.22585 +/- 6.257 (148.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.227 1.000 ******************************************************************************* Sat Feb 1 11:28:04 2025 FIT: data read from 'spin_vs_momentum_2.6026E-05.dat' u 3:4 format = x:z #datapoints = 70 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1640743925e-01 0.00e+00 2.87e+01 4.061557e+01 -4.225854e+00 2 3.1626752105e-01 -7.12e-02 2.87e-01 4.061416e+01 -4.225363e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.316268 rel. change during last iteration : -7.11866e-07 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0681982 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00465099 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6142 +/- 0.008276 (0.02038%) b = -4.22536 +/- 5.96 (141.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.173 1.000 ******************************************************************************* Sat Feb 1 11:28:36 2025 FIT: data read from 'spin_vs_momentum_2.6052E-05.dat' u 3:4 format = x:z #datapoints = 70 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.1512164409e-01 0.00e+00 2.87e+01 4.061416e+01 -4.225363e+00 6 3.1401606379e-01 -1.98e-04 2.87e-05 4.065143e+01 -1.778077e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.314016 rel. change during last iteration : -1.98445e-09 degrees of freedom (FIT_NDF) : 68 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.067955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00461788 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6514 +/- 0.008246 (0.02029%) b = -1.77808 +/- 5.939 (334%) correlation matrix of the fit parameters: a b a 1.000 b -0.173 1.000 ******************************************************************************* Sat Feb 1 13:07:46 2025 FIT: data read from 'spin_vs_momentum_2.6052E-05.dat' u 3:4 format = x:z #datapoints = 551 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.8252799573e+00 0.00e+00 2.87e+01 4.065143e+01 -1.778077e+00 6 2.6456896567e+00 -1.30e-03 2.87e-05 4.064638e+01 1.094205e+01 After 6 iterations the fit converged. final sum of squares of residuals : 2.64569 rel. change during last iteration : -1.29982e-08 degrees of freedom (FIT_NDF) : 549 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481911 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6464 +/- 0.002996 (0.00737%) b = 10.942 +/- 2.099 (19.18%) correlation matrix of the fit parameters: a b a 1.000 b -0.160 1.000 ******************************************************************************* Sat Feb 1 13:25:52 2025 FIT: data read from 'spin_vs_momentum_2.6026E-05.dat' u 3:4 format = x:z #datapoints = 551 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.4608238812e+00 0.00e+00 2.87e+01 4.064638e+01 1.094205e+01 2 2.6726104510e+00 -2.42e-02 2.87e-01 4.060856e+01 1.094202e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.67261 rel. change during last iteration : -2.42439e-07 degrees of freedom (FIT_NDF) : 549 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0697721 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00486814 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6086 +/- 0.003011 (0.007415%) b = 10.942 +/- 2.109 (19.28%) correlation matrix of the fit parameters: a b a 1.000 b -0.160 1.000 ******************************************************************************* Sat Feb 1 13:26:14 2025 FIT: data read from 'spin_vs_momentum_2.6065E-05.dat' u 3:4 format = x:z #datapoints = 551 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.3961668797e+00 0.00e+00 2.87e+01 4.060856e+01 1.094202e+01 2 2.6362763355e+00 -6.17e-02 2.87e-01 4.066507e+01 1.094087e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.63628 rel. change during last iteration : -6.17293e-07 degrees of freedom (FIT_NDF) : 549 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0692962 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00480196 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6651 +/- 0.00299 (0.007354%) b = 10.9409 +/- 2.095 (19.15%) correlation matrix of the fit parameters: a b a 1.000 b -0.160 1.000 ******************************************************************************* Sat Feb 1 14:17:30 2025 FIT: data read from 'spin_vs_momentum_2.6065E-05.dat' u 3:4 format = x:z #datapoints = 551 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.6362763355e+00 0.00e+00 2.88e+01 4.066507e+01 1.094087e+01 1 2.6362763337e+00 -6.78e-05 2.88e+00 4.066507e+01 1.094086e+01 After 1 iterations the fit converged. final sum of squares of residuals : 2.63628 rel. change during last iteration : -6.78227e-10 degrees of freedom (FIT_NDF) : 549 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0692962 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00480196 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6651 +/- 0.00299 (0.007354%) b = 10.9409 +/- 2.095 (19.15%) correlation matrix of the fit parameters: a b a 1.000 b -0.160 1.000 ******************************************************************************* Sun Feb 2 07:24:10 2025 FIT: data read from 'spin_vs_momentum_2.6052E-05.dat' u 3:4 format = x:z #datapoints = 551 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.8382304930e+00 0.00e+00 2.88e+01 4.066507e+01 1.094086e+01 2 2.6456896582e+00 -5.98e-03 2.88e-01 4.064638e+01 1.094088e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.64569 rel. change during last iteration : -5.98362e-08 degrees of freedom (FIT_NDF) : 549 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0694198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00481911 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.6464 +/- 0.002996 (0.00737%) b = 10.9409 +/- 2.099 (19.18%) correlation matrix of the fit parameters: a b a 1.000 b -0.160 1.000 ******************************************************************************* Mon Feb 3 09:13:39 2025 FIT: data read from 'all_phase_space_at_22340_ns.dat' u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x + c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.4320874233e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 6 2.9319849473e+00 -3.12e-01 5.77e-07 -1.397326e-03 3.305414e-02 1.936416e+02 After 6 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -3.1244e-06 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139733 +/- 0.0001544 (11.05%) b = 0.0330541 +/- 0.1115 (337.4%) c = 193.642 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:14:45 2025 FIT: data read from 'all_phase_space_at_11901_ns.dat' u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x + c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3531248262e+00 0.00e+00 8.35e-04 -1.397326e-03 3.305414e-02 1.936416e+02 2 3.2947796673e+00 -5.20e-04 8.35e-06 -3.490898e-03 6.070658e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -5.19714e-09 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607066 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:15:07 2025 FIT: data read from 'all_phase_space_at_20845_ns.dat' u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x + c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8623684607e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070658e-02 2.590630e+02 2 1.8569708915e+00 -7.94e-03 2.04e-05 -2.877123e-03 1.074979e-01 2.544727e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -7.94322e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.107498 +/- 0.08879 (82.6%) c = 254.473 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:15:36 2025 FIT: data read from 'all_phase_space_at_04452_ns.dat' u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x + c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.1681202972e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074979e-01 2.544727e+02 2 3.1657460697e+00 -7.29e-04 1.69e-05 -2.484094e-03 2.362698e-02 2.185286e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -7.2904e-09 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.023627 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:16:16 2025 FIT: data read from 'all_phase_space_at_08924_ns.dat' u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x + c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1722174192e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362698e-02 2.185286e+01 3 2.1125291829e+00 -4.53e-06 1.43e-06 -4.818779e-03 2.260801e-01 3.146152e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -4.53297e-11 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:27:10 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.8484884074e+00 0.00e+00 2.82e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.6030313917e+00 -5.97e-03 2.82e-05 -4.649430e-04 -2.335419e-01 -1.900449e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -5.97144e-08 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:11 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335419e-01 -1.900449e+02 1 3.6030313917e+00 -2.47e-11 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -2.46509e-16 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:12 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:12 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:13 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:13 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:14 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:14 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:15 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:16 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:16 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:17 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:17 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:18 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:18 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:27:19 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:28:57 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:28:57 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:28:58 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:28:58 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:28:59 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:00 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:00 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:01 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:01 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:02 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:02 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:03 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:04 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:04 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:05 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:29:05 2025 FIT: data read from file[1] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:30:06 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:30:06 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:30:07 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:30:08 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:30:09 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:30:10 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:30:10 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:30:11 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:30:12 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:30:13 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:30:14 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:30:15 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:30:15 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:30:16 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:30:17 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:30:18 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:21 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:32:21 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:32:22 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:32:23 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:32:24 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:24 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:25 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:26 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:27 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:32:27 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:32:28 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:32:29 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:32:29 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:30 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:31 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:32 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:52 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:32:53 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:32:53 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:32:54 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:32:55 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:56 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:56 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:57 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:32:58 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:32:58 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:32:59 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:33:00 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:33:00 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:33:01 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:33:02 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:33:03 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:34:02 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:34:03 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:34:04 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:34:05 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:34:05 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:34:06 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:34:07 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:34:07 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:34:08 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:34:09 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:34:09 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:34:10 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:34:11 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:34:11 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:34:12 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:34:13 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:35:40 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:36:58 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:36:59 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 2 1.7132664804e+00 -2.84e+00 1.43e-05 -4.768637e-03 2.257001e-01 2.984667e+02 The fit was stopped by the user after 2 iterations. final sum of squares of residuals : 1.71327 rel. change during last iteration : -2.84023e-05 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476864 +/- 0.000116 (2.433%) b = 0.2257 +/- 0.08352 (37.01%) c = 298.467 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:37:06 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124311e+00 0.00e+00 2.78e-03 -4.768637e-03 2.257001e-01 2.984667e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85943e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:37:08 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:37:08 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:37:29 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6044135887e+00 0.00e+00 2.74e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 3.6030313917e+00 -3.88e-08 2.74e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.88128e-13 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:37:38 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:37:41 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:37:43 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:37:45 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:37:47 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:37:50 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:37:54 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:37:57 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:38:05 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:38:12 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:38:15 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:38:17 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:38:22 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:38:24 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:38:26 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:49:59 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:52:40 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:52:40 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:52:41 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:52:42 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:52:43 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:52:43 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:52:44 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:52:45 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:52:45 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:52:46 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:52:47 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:52:48 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:52:48 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:52:49 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:52:50 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:52:51 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:53:05 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:53:06 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:53:07 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:53:08 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:53:09 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:53:09 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:53:10 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:53:11 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:53:11 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:53:12 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:53:13 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:53:14 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:53:14 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:53:15 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:53:16 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:53:17 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:54:17 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:54:18 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:54:18 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:54:19 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:54:20 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:54:21 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:54:21 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:54:22 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:54:23 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:54:24 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:54:24 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:54:25 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:54:26 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:54:26 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:54:27 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:54:28 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:55:27 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:55:28 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60822e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:55:29 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:55:30 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:55:30 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:55:31 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:55:32 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:55:33 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:55:33 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:55:34 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:55:35 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:55:35 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:55:36 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:55:37 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:55:38 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:55:38 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:58:29 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6405683850e+00 0.00e+00 5.38e-04 8.786931e-04 -8.822436e-02 -1.323116e+02 2 3.6030313917e+00 -3.45e-05 5.38e-06 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : -3.45133e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:59:26 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 17507 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.6030313917e+00 0.00e+00 3.96e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 1 3.6030313917e+00 0.00e+00 3.96e-05 -4.649430e-04 -2.335421e-01 -1.900448e+02 After 1 iterations the fit converged. final sum of squares of residuals : 3.60303 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143471 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00020584 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000464943 +/- 0.0001405 (30.22%) b = -0.233542 +/- 0.09529 (40.8%) c = -190.045 +/- 65.4 (34.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.627 -0.248 1.000 ******************************************************************************* Mon Feb 3 09:59:27 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14994 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.2136164512e+00 0.00e+00 3.77e-04 -4.649430e-04 -2.335421e-01 -1.900448e+02 2 3.1657460697e+00 -9.61e-06 3.77e-06 -2.484094e-03 2.362683e-02 2.185288e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.16575 rel. change during last iteration : -9.60823e-11 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145319 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211176 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00248409 +/- 0.0001535 (6.178%) b = 0.0236268 +/- 0.1095 (463.3%) c = 21.8529 +/- 79.47 (363.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.628 -0.219 1.000 ******************************************************************************* Mon Feb 3 09:59:28 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14541 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.7709558986e+00 0.00e+00 1.43e-03 -2.484094e-03 2.362683e-02 2.185288e+01 3 1.7132664803e+00 -5.30e-06 1.43e-06 -4.768679e-03 2.257521e-01 2.984962e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.71327 rel. change during last iteration : -5.29709e-11 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0108558 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000117847 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00476868 +/- 0.000116 (2.433%) b = 0.225752 +/- 0.08352 (37%) c = 298.496 +/- 60.98 (20.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.198 1.000 ******************************************************************************* Mon Feb 3 09:59:29 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14387 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9290124691e+00 0.00e+00 2.78e-03 -4.768679e-03 2.257521e-01 2.984962e+02 2 2.9266199297e+00 -4.86e-04 2.78e-05 -4.456284e-03 1.322341e-01 3.671221e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.92662 rel. change during last iteration : -4.85972e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142641 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000203464 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00445628 +/- 0.0001532 (3.439%) b = 0.132234 +/- 0.1105 (83.54%) c = 367.122 +/- 80.97 (22.06%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.189 1.000 ******************************************************************************* Mon Feb 3 09:59:29 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14308 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8123303369e+00 0.00e+00 2.61e-03 -4.456284e-03 1.322341e-01 3.671221e+02 2 2.7709959617e+00 -9.25e-03 2.61e-05 -2.549501e-03 -4.174519e-02 1.752429e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.771 rel. change during last iteration : -9.25264e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139179 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000193708 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0025495 +/- 0.0001499 (5.878%) b = -0.0417452 +/- 0.1082 (259.1%) c = 175.243 +/- 79.39 (45.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.627 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:59:30 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.8603963752e+00 0.00e+00 1.48e-03 -2.549501e-03 -4.174519e-02 1.752429e+02 2 1.8073865751e+00 -8.48e-02 1.48e-05 -3.078171e-04 -1.787648e-01 -1.315121e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.80739 rel. change during last iteration : -8.48005e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0112506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000126577 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000307817 +/- 0.0001212 (39.38%) b = -0.178765 +/- 0.08756 (48.98%) c = -131.512 +/- 64.24 (48.85%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:59:31 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.6834897387e+00 0.00e+00 2.56e-04 -3.078171e-04 -1.787648e-01 -1.315121e+02 2 2.6658585625e+00 -4.18e-06 2.56e-06 -1.521434e-03 -2.404825e-02 -3.706262e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.66586 rel. change during last iteration : -4.18096e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0136637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000186698 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00152143 +/- 0.0001472 (9.677%) b = -0.0240482 +/- 0.1063 (442.2%) c = -37.0626 +/- 78.03 (210.5%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:59:32 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.9362183894e+00 0.00e+00 8.79e-04 -1.521434e-03 -2.404825e-02 -3.706262e+01 2 2.9319849473e+00 -2.37e-02 8.79e-06 -1.397348e-03 3.304689e-02 1.936600e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.93198 rel. change during last iteration : -2.37176e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143295 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000205335 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00139735 +/- 0.0001544 (11.05%) b = 0.0330469 +/- 0.1115 (337.5%) c = 193.66 +/- 81.84 (42.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:59:32 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 16188 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 4.0417468253e+00 0.00e+00 8.40e-04 -1.397348e-03 3.304689e-02 1.936600e+02 2 4.0243620349e+00 -4.10e-02 8.40e-06 -1.893714e-03 -2.552632e-01 -5.157638e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02436 rel. change during last iteration : -4.09849e-07 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0157686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000248648 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00189371 +/- 0.0001609 (8.499%) b = -0.255263 +/- 0.1129 (44.24%) c = -51.5764 +/- 80.42 (155.9%) correlation matrix of the fit parameters: a b c a 1.000 b 0.062 1.000 c -0.629 -0.260 1.000 ******************************************************************************* Mon Feb 3 09:59:33 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14908 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1067060926e+00 0.00e+00 1.11e-03 -1.893714e-03 -2.552632e-01 -5.157638e+01 2 2.0569913026e+00 -2.20e-02 1.11e-05 -3.973263e-03 1.724223e-01 2.200739e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.05699 rel. change during last iteration : -2.20259e-07 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138007 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00397326 +/- 0.0001244 (3.131%) b = 0.172422 +/- 0.08881 (51.51%) c = 220.074 +/- 64.58 (29.35%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.628 -0.217 1.000 ******************************************************************************* Mon Feb 3 09:59:34 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14517 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.1205466663e+00 0.00e+00 2.31e-03 -3.973263e-03 1.724223e-01 2.200739e+02 2 2.1125291829e+00 -3.48e-04 2.31e-05 -4.818779e-03 2.260801e-01 3.146152e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.11253 rel. change during last iteration : -3.47525e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120645 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145551 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00481878 +/- 0.000129 (2.677%) b = 0.22608 +/- 0.09299 (41.13%) c = 314.615 +/- 67.94 (21.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.626 -0.197 1.000 ******************************************************************************* Mon Feb 3 09:59:34 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14375 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 3.3176955603e+00 0.00e+00 2.81e-03 -4.818779e-03 2.260801e-01 3.146152e+02 2 3.2947796673e+00 -1.13e-03 2.81e-05 -3.490898e-03 6.070711e-02 2.590630e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.29478 rel. change during last iteration : -1.13128e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.015141 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00022925 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0034909 +/- 0.0001627 (4.662%) b = 0.0607071 +/- 0.1174 (193.4%) c = 259.063 +/- 86.17 (33.26%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.627 -0.188 1.000 ******************************************************************************* Mon Feb 3 09:59:35 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14297 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9438805640e+00 0.00e+00 2.04e-03 -3.490898e-03 6.070711e-02 2.590630e+02 2 1.8944029071e+00 -1.32e-01 2.04e-05 -1.357448e-03 -1.337073e-01 -4.289229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.8944 rel. change during last iteration : -1.31696e-06 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0115122 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000132531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00135745 +/- 0.000124 (9.134%) b = -0.133707 +/- 0.08956 (66.98%) c = -4.28923 +/- 65.73 (1533%) correlation matrix of the fit parameters: a b c a 1.000 b 0.049 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:59:36 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.8465777568e+00 0.00e+00 7.88e-04 -1.357448e-03 -1.337073e-01 -4.289229e+00 3 2.8358322536e+00 -1.26e-03 7.88e-07 -3.109403e-04 -1.056644e-01 -1.927846e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.83583 rel. change during last iteration : -1.25615e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0140926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000198602 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00031094 +/- 0.0001518 (48.83%) b = -0.105664 +/- 0.1097 (103.8%) c = -192.785 +/- 80.52 (41.77%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:59:37 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9224381473e+00 0.00e+00 2.87e-04 -3.109403e-04 -1.056644e-01 -1.927846e+02 2 1.8569708915e+00 -4.56e-05 2.87e-06 -2.877123e-03 1.074999e-01 2.544724e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85697 rel. change during last iteration : -4.55739e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114039 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000130049 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00287712 +/- 0.0001229 (4.271%) b = 0.1075 +/- 0.08879 (82.6%) c = 254.472 +/- 65.16 (25.61%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Mon Feb 3 09:59:37 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [-200.000 : 400.000] #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.9212828575e+00 0.00e+00 1.69e-03 -2.877123e-03 1.074999e-01 2.544724e+02 2 1.7624165003e+00 -7.61e-03 1.69e-05 8.786931e-04 -8.822436e-02 -1.323116e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76242 rel. change during last iteration : -7.61203e-08 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0111098 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000123427 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000878693 +/- 0.0001197 (13.62%) b = -0.0882244 +/- 0.0865 (98.05%) c = -132.312 +/- 63.48 (47.98%) correlation matrix of the fit parameters: a b c a 1.000 b 0.050 1.000 c -0.626 -0.185 1.000 ******************************************************************************* Thu Feb 6 10:43:09 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 3:4 format = x:z #datapoints = 551 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 8.6290252749e+05 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 5 2.6319720731e+00 -1.13e-06 7.07e-06 4.057119e+01 1.111145e+01 After 5 iterations the fit converged. final sum of squares of residuals : 2.63197 rel. change during last iteration : -1.13182e-11 degrees of freedom (FIT_NDF) : 549 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0692396 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00479412 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40.5712 +/- 0.002988 (0.007365%) b = 11.1115 +/- 2.093 (18.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.160 1.000 ******************************************************************************* Fri May 9 15:11:18 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.3781415284e+11 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 2 7.3726259563e+08 -2.36e-02 7.11e-03 3.098411e+03 6.575626e+01 After 2 iterations the fit converged. final sum of squares of residuals : 7.37263e+08 rel. change during last iteration : -2.35744e-07 degrees of freedom (FIT_NDF) : 14280 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 227.22 variance of residuals (reduced chisquare) = WSSR/ndf : 51629 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 3098.41 +/- 1.909 (0.0616%) b = 65.7563 +/- 17.4 (26.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.088 1.000 ******************************************************************************* Fri May 9 15:11:19 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 5.2476129496e+04 0.00e+00 9.46e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.7032190618e+02 -1.01e-01 9.46e-03 1.276114e-02 -1.002603e-03 -5.083344e-03 After 2 iterations the fit converged. final sum of squares of residuals : 170.322 rel. change during last iteration : -1.0123e-06 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109216 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119281 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0127611 +/- 0.001142 (8.946%) bb = -0.0010026 +/- 0.001167 (116.4%) cc = -0.00508334 +/- 0.00111 (21.83%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.009 1.000 cc -0.598 0.083 1.000 ******************************************************************************* Fri May 9 15:11:20 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.6611384459e+12 0.00e+00 2.19e+03 3.098411e+03 6.575626e+01 3 7.5659577132e+08 -5.29e-03 2.19e+00 1.388075e+04 5.664025e+01 After 3 iterations the fit converged. final sum of squares of residuals : 7.56596e+08 rel. change during last iteration : -5.29479e-08 degrees of freedom (FIT_NDF) : 14280 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 230.18 variance of residuals (reduced chisquare) = WSSR/ndf : 52982.9 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13880.7 +/- 1.933 (0.01393%) b = 56.6402 +/- 17.6 (31.08%) correlation matrix of the fit parameters: a b a 1.000 b -0.086 1.000 ******************************************************************************* Fri May 9 15:11:21 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.7336844971e+02 0.00e+00 9.96e-03 1.276114e-02 -1.002603e-03 -5.083344e-03 2 1.7025688166e+02 -2.45e-02 9.96e-05 6.874968e-03 6.355485e-03 3.933176e-03 After 2 iterations the fit converged. final sum of squares of residuals : 170.257 rel. change during last iteration : -2.45335e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109195 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119236 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00687497 +/- 0.001138 (16.56%) bb = 0.00635549 +/- 0.000966 (15.2%) cc = 0.00393318 +/- 0.000571 (14.52%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.042 1.000 cc -0.501 0.481 1.000 ******************************************************************************* Fri May 9 15:11:22 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.6424946289e+12 0.00e+00 9.82e+03 1.388075e+04 5.664025e+01 2 7.5668263609e+08 -2.67e-01 9.82e+01 2.460230e+04 5.652571e+01 After 2 iterations the fit converged. final sum of squares of residuals : 7.56683e+08 rel. change during last iteration : -2.67237e-06 degrees of freedom (FIT_NDF) : 14280 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 230.193 variance of residuals (reduced chisquare) = WSSR/ndf : 52989 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 24602.3 +/- 1.933 (0.007859%) b = 56.5257 +/- 17.61 (31.16%) correlation matrix of the fit parameters: a b a 1.000 b -0.086 1.000 ******************************************************************************* Fri May 9 15:11:23 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.7129202909e+02 0.00e+00 8.05e-03 6.874968e-03 6.355485e-03 3.933176e-03 2 1.7045822386e+02 -4.72e-06 8.05e-05 6.322804e-03 -2.091989e-04 2.325210e-03 After 2 iterations the fit converged. final sum of squares of residuals : 170.458 rel. change during last iteration : -4.71538e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.10926 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119377 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0063228 +/- 0.001094 (17.31%) bb = -0.000209199 +/- 0.000822 (392.9%) cc = 0.00232521 +/- 0.0004616 (19.85%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.042 1.000 cc -0.540 0.258 1.000 ******************************************************************************* Fri May 9 15:11:25 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.6424789383e+12 0.00e+00 1.74e+04 2.460230e+04 5.652571e+01 2 7.5661065096e+08 -2.92e-01 1.74e+02 3.532379e+04 5.683767e+01 After 2 iterations the fit converged. final sum of squares of residuals : 7.56611e+08 rel. change during last iteration : -2.91783e-06 degrees of freedom (FIT_NDF) : 14280 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 230.182 variance of residuals (reduced chisquare) = WSSR/ndf : 52983.9 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 35323.8 +/- 1.933 (0.005473%) b = 56.8377 +/- 17.61 (30.98%) correlation matrix of the fit parameters: a b a 1.000 b -0.087 1.000 ******************************************************************************* Fri May 9 15:11:26 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 14282 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.7120144742e+02 0.00e+00 5.74e-03 6.322804e-03 -2.091989e-04 2.325210e-03 2 1.7086802103e+02 -1.05e-02 5.74e-05 8.048600e-03 7.611127e-04 7.486870e-04 After 2 iterations the fit converged. final sum of squares of residuals : 170.868 rel. change during last iteration : -1.05008e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109391 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119664 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0080486 +/- 0.001179 (14.65%) bb = 0.000761113 +/- 0.0006536 (85.87%) cc = 0.000748687 +/- 0.0003655 (48.82%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.072 1.000 cc -0.627 0.212 1.000