******************************************************************************* Fri Sep 1 10:16:29 2023 FIT: data read from '../config_073/phase_vs_time.dat' u 1:2 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f73(x) f73(x) = a73+b73*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a73 b73 0 4.7315299315e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 9 1.2905438309e-04 -1.55e-07 7.07e-10 2.336767e+00 1.439525e+06 After 9 iterations the fit converged. final sum of squares of residuals : 0.000129054 rel. change during last iteration : -1.55337e-12 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00284005 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0659e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a73 = 2.33677 +/- 0.001172 (0.05017%) b73 = 1.43952e+06 +/- 111.8 (0.007764%) correlation matrix of the fit parameters: a73 b73 a73 1.000 b73 -0.821 1.000 ******************************************************************************* Fri Sep 1 10:16:43 2023 FIT: data read from '../config_076/phase_vs_time.dat' u 1:2 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f76(x) f76(x) = a76+b76*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a76 b76 0 4.6703074900e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 9 1.2066710945e-04 -1.48e-07 7.07e-10 2.336480e+00 1.429503e+06 After 9 iterations the fit converged. final sum of squares of residuals : 0.000120667 rel. change during last iteration : -1.48332e-12 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00274621 variance of residuals (reduced chisquare) = WSSR/ndf : 7.54169e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a76 = 2.33648 +/- 0.001134 (0.04851%) b76 = 1.4295e+06 +/- 108.1 (0.00756%) correlation matrix of the fit parameters: a76 b76 a76 1.000 b76 -0.821 1.000 ******************************************************************************* Fri Sep 1 10:17:23 2023 FIT: data read from '../config_077/phase_vs_time.dat' u 1:2 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f77(x) f77(x) = a77+b77*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a77 b77 0 4.7970740870e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 9 1.2563542477e-04 -1.53e-07 7.07e-10 2.343518e+00 1.449653e+06 After 9 iterations the fit converged. final sum of squares of residuals : 0.000125635 rel. change during last iteration : -1.52919e-12 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00280218 variance of residuals (reduced chisquare) = WSSR/ndf : 7.85221e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a77 = 2.34352 +/- 0.001157 (0.04935%) b77 = 1.44965e+06 +/- 110.3 (0.007607%) correlation matrix of the fit parameters: a77 b77 a77 1.000 b77 -0.821 1.000 ******************************************************************************* Fri Sep 1 10:55:27 2023 FIT: data read from '../config_076/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [0.00000 : 1.12631] #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f76(x) f76(x) = a76+b76*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a76 b76 0 2.1125549542e-05 0.00e+00 1.14e+01 2.336480e+00 1.429503e+06 4 6.6495207950e-07 -3.07e-03 1.14e-03 2.338785e+00 1.429322e+06 After 4 iterations the fit converged. final sum of squares of residuals : 6.64952e-07 rel. change during last iteration : -3.07181e-08 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000217937 variance of residuals (reduced chisquare) = WSSR/ndf : 4.74966e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a76 = 2.33878 +/- 0.000111 (0.004748%) b76 = 1.42932e+06 +/- 9.981 (0.0006983%) correlation matrix of the fit parameters: a76 b76 a76 1.000 b76 -0.871 1.000 ******************************************************************************* Fri Sep 1 10:55:39 2023 FIT: data read from '../config_077/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [0.00000 : 1.12631] #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f77(x) f77(x) = a77+b77*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a77 b77 0 2.4048859360e-05 0.00e+00 1.15e+01 2.343518e+00 1.449653e+06 4 2.5390238361e-06 -9.24e-04 1.15e-03 2.345881e+00 1.449468e+06 After 4 iterations the fit converged. final sum of squares of residuals : 2.53902e-06 rel. change during last iteration : -9.23787e-09 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000425862 variance of residuals (reduced chisquare) = WSSR/ndf : 1.81359e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a77 = 2.34588 +/- 0.000217 (0.009249%) b77 = 1.44947e+06 +/- 19.5 (0.001346%) correlation matrix of the fit parameters: a77 b77 a77 1.000 b77 -0.871 1.000 ******************************************************************************* Fri Sep 1 10:55:49 2023 FIT: data read from '../config_073/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [0.00000 : 1.12631] #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f73(x) f73(x) = a73+b73*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a73 b73 0 3.0081746438e-05 0.00e+00 1.14e+01 2.336767e+00 1.439525e+06 4 9.6480605931e-06 -2.23e-04 1.14e-03 2.339070e+00 1.439344e+06 After 4 iterations the fit converged. final sum of squares of residuals : 9.64806e-06 rel. change during last iteration : -2.23372e-09 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000830149 variance of residuals (reduced chisquare) = WSSR/ndf : 6.89147e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a73 = 2.33907 +/- 0.0004229 (0.01808%) b73 = 1.43934e+06 +/- 38.02 (0.002642%) correlation matrix of the fit parameters: a73 b73 a73 1.000 b73 -0.871 1.000 ******************************************************************************* Fri Sep 1 11:08:16 2023 FIT: data read from '../config_073/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [-6.71598e-08 : -3.98072e-08] #datapoints = 2 residuals are weighted equally (unit weight) function used for fitting: f73(x) f73(x) = a73+b73*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a73 b73 0 1.5053943884e-04 0.00e+00 1.65e+00 2.339070e+00 1.439344e+06 7 0.0000000000e+00 -inf 1.65e-07 2.373283e+00 2.185309e+06 After 7 iterations the fit converged. final sum of squares of residuals : 0 abs. change during last iteration : -5.71924e-29 Exactly as many data points as there are parameters. In this degenerate case, all errors are zero by definition. Final set of parameters ======================= a73 = 2.37328 b73 = 2.18531e+06 ******************************************************************************* Fri Sep 1 11:08:35 2023 FIT: data read from '../config_072/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [-3.98072e-08 : 0.00000] BREAK: No data to fit ******************************************************************************* Fri Sep 1 11:08:57 2023 FIT: data read from '../config_072/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [-3.98072e-08 : 0.00000] BREAK: No data to fit ******************************************************************************* Fri Sep 1 11:09:22 2023 FIT: data read from '../config_072/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [-3.98072e-08 : 0.00000] BREAK: No data to fit ******************************************************************************* Fri Sep 1 11:09:35 2023 FIT: data read from '../config_072/phase_vs_time.dat' u 1:2 format = x:z #datapoints = 18 residuals are weighted equally (unit weight) function used for fitting: f72(x) f72(x) = a72+b72*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a72 b72 0 4.7355288279e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 9 3.2196861580e-05 -6.01e-07 7.07e-10 2.345405e+00 1.439482e+06 After 9 iterations the fit converged. final sum of squares of residuals : 3.21969e-05 rel. change during last iteration : -6.00536e-12 degrees of freedom (FIT_NDF) : 16 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00141856 variance of residuals (reduced chisquare) = WSSR/ndf : 2.0123e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a72 = 2.3454 +/- 0.0005855 (0.02496%) b72 = 1.43948e+06 +/- 55.82 (0.003878%) correlation matrix of the fit parameters: a72 b72 a72 1.000 b72 -0.821 1.000 ******************************************************************************* Fri Sep 1 11:09:47 2023 FIT: data read from '../config_072/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [0.00000 : *] #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f72(x) f72(x) = a72+b72*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a72 b72 0 8.1425732252e-06 0.00e+00 1.14e+01 2.345405e+00 1.439482e+06 4 1.4590286883e-06 -4.69e-04 1.14e-03 2.346722e+00 1.439378e+06 After 4 iterations the fit converged. final sum of squares of residuals : 1.45903e-06 rel. change during last iteration : -4.69042e-09 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000322826 variance of residuals (reduced chisquare) = WSSR/ndf : 1.04216e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a72 = 2.34672 +/- 0.0001645 (0.007009%) b72 = 1.43938e+06 +/- 14.79 (0.001027%) correlation matrix of the fit parameters: a72 b72 a72 1.000 b72 -0.871 1.000 ******************************************************************************* Fri Sep 1 11:10:08 2023 FIT: data read from '../config_074/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [0.00000 : *] #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f74(x) f74(x) = a74+b74*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a74 b74 0 4.6832908482e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 9 1.1844765243e-06 -7.44e-05 7.07e-10 2.372114e+00 1.429306e+06 After 9 iterations the fit converged. final sum of squares of residuals : 1.18448e-06 rel. change during last iteration : -7.43699e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00029087 variance of residuals (reduced chisquare) = WSSR/ndf : 8.46055e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a74 = 2.37211 +/- 0.0001482 (0.006247%) b74 = 1.42931e+06 +/- 13.32 (0.000932%) correlation matrix of the fit parameters: a74 b74 a74 1.000 b74 -0.871 1.000 ******************************************************************************* Fri Sep 1 11:10:21 2023 FIT: data read from '../config_075/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [0.00000 : *] #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f75(x) f75(x) = a75+b75*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a75 b75 0 4.7811086132e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 9 1.7874254510e-06 -5.06e-05 7.07e-10 2.320063e+00 1.449463e+06 After 9 iterations the fit converged. final sum of squares of residuals : 1.78743e-06 rel. change during last iteration : -5.06274e-10 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000357314 variance of residuals (reduced chisquare) = WSSR/ndf : 1.27673e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a75 = 2.32006 +/- 0.000182 (0.007847%) b75 = 1.44946e+06 +/- 16.36 (0.001129%) correlation matrix of the fit parameters: a75 b75 a75 1.000 b75 -0.871 1.000 ******************************************************************************* Fri Sep 1 11:19:50 2023 FIT: data read from '../config_073/phase_vs_time.dat' u 1:2 format = x:z x range restricted to [0.00000 : *] #datapoints = 16 residuals are weighted equally (unit weight) function used for fitting: f73(x) f73(x) = a73+b73*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a73 b73 0 1.1097044006e+03 0.00e+00 1.73e+01 2.373283e+00 2.185309e+06 5 9.6480605931e-06 -5.10e-08 1.73e-04 2.339070e+00 1.439344e+06 After 5 iterations the fit converged. final sum of squares of residuals : 9.64806e-06 rel. change during last iteration : -5.09551e-13 degrees of freedom (FIT_NDF) : 14 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000830149 variance of residuals (reduced chisquare) = WSSR/ndf : 6.89147e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a73 = 2.33907 +/- 0.0004229 (0.01808%) b73 = 1.43934e+06 +/- 38.02 (0.002642%) correlation matrix of the fit parameters: a73 b73 a73 1.000 b73 -0.871 1.000