******************************************************************************* Tue Feb 4 13:50:29 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 15319 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 1.5416908138e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 6 3.5512687591e+00 -4.78e-01 5.77e-07 -3.318111e-03 2.896964e-01 2.773793e+02 After 6 iterations the fit converged. final sum of squares of residuals : 3.55127 rel. change during last iteration : -4.7771e-06 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0152272 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000231867 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00331811 +/- 0.0001594 (4.803%) b = 0.289696 +/- 0.1141 (39.38%) c = 277.379 +/- 82.46 (29.73%) correlation matrix of the fit parameters: a b c a 1.000 b 0.058 1.000 c -0.627 -0.252 1.000 ******************************************************************************* Tue Feb 4 13:50:32 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14654 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 1.8032977717e+00 0.00e+00 1.95e-03 -3.318111e-03 2.896964e-01 2.773793e+02 2 1.7659528266e+00 -4.47e-04 1.95e-05 -4.989255e-03 6.766920e-02 3.763902e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76595 rel. change during last iteration : -4.46882e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0109788 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000120535 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00498925 +/- 0.0001168 (2.341%) b = 0.0676692 +/- 0.08458 (125%) c = 376.39 +/- 61.78 (16.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.625 -0.207 1.000 ******************************************************************************* Tue Feb 4 13:50:33 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14470 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 3.3460827051e+00 0.00e+00 2.91e-03 -4.989255e-03 6.766920e-02 3.763902e+02 2 3.1908109077e+00 -2.97e-01 2.91e-05 -1.124730e-03 -1.726519e-01 -2.136568e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.19081 rel. change during last iteration : -2.96557e-06 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0148512 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000220558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00112473 +/- 0.0001588 (14.12%) b = -0.172652 +/- 0.1153 (66.76%) c = -213.657 +/- 84.24 (39.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.624 -0.198 1.000 ******************************************************************************* Tue Feb 4 13:50:34 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14391 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 1.9351444875e+00 0.00e+00 7.00e-04 -1.124730e-03 -1.726519e-01 -2.136568e+02 2 1.9327061354e+00 -6.72e-05 7.00e-06 -1.113369e-03 1.149047e-01 -1.087578e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.93271 rel. change during last iteration : -6.72053e-10 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.01159 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000134328 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00111337 +/- 0.0001242 (11.16%) b = 0.114905 +/- 0.09029 (78.58%) c = -108.758 +/- 66.08 (60.76%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:35 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 3.0529643903e+00 0.00e+00 6.58e-04 -1.113369e-03 1.149047e-01 -1.087578e+02 2 3.0406147730e+00 -2.10e-04 6.58e-06 -2.279680e-03 2.474825e-01 2.571851e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.04061 rel. change during last iteration : -2.09769e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145428 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211492 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00227968 +/- 0.0001559 (6.838%) b = 0.247482 +/- 0.1133 (45.79%) c = 257.185 +/- 82.91 (32.24%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.195 1.000 ******************************************************************************* Tue Feb 4 13:50:36 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.9510863298e+00 0.00e+00 1.36e-03 -2.279680e-03 2.474825e-01 2.571851e+02 2 2.9430522365e+00 -3.71e-06 1.36e-05 -1.483786e-03 2.157454e-01 2.162968e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.94305 rel. change during last iteration : -3.71332e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143075 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000204706 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00148379 +/- 0.0001534 (10.34%) b = 0.215745 +/- 0.1114 (51.66%) c = 216.297 +/- 81.54 (37.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:37 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.5135533532e+00 0.00e+00 9.00e-04 -1.483786e-03 2.157454e-01 2.162968e+02 2 2.4915525075e+00 -2.46e-05 9.00e-06 -3.203815e-05 2.048797e-01 3.068552e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2.49155 rel. change during last iteration : -2.46464e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0131644 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000173301 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -3.20381e-05 +/- 0.0001411 (440.5%) b = 0.20488 +/- 0.1026 (50.06%) c = 3.06855 +/- 75.04 (2445%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:38 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 1.8798304911e+00 0.00e+00 1.31e-04 -3.203815e-05 2.048797e-01 3.068552e+00 2 1.8500089880e+00 -5.81e-01 1.31e-06 1.705426e-03 9.859584e-02 -3.121050e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85001 rel. change during last iteration : -5.81448e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0113436 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000128678 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00170543 +/- 0.0001216 (7.13%) b = 0.0985958 +/- 0.08839 (89.64%) c = -312.105 +/- 64.67 (20.72%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:38 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.7153622484e+00 0.00e+00 1.05e-03 1.705426e-03 9.859584e-02 -3.121050e+02 2 2.7144313485e+00 -7.82e-04 1.05e-05 1.505020e-03 -6.845641e-02 -2.817943e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.71443 rel. change during last iteration : -7.81868e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137406 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188804 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00150502 +/- 0.0001473 (9.787%) b = -0.0684564 +/- 0.107 (156.4%) c = -281.794 +/- 78.32 (27.79%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:40 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.2615536128e+00 0.00e+00 9.24e-04 1.505020e-03 -6.845641e-02 -2.817943e+02 2 2.2048212317e+00 -2.99e-04 9.24e-06 -8.748862e-04 -1.179681e-01 1.284582e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.20482 rel. change during last iteration : -2.99163e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0123838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000153358 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000874886 +/- 0.0001328 (15.17%) b = -0.117968 +/- 0.09648 (81.78%) c = 128.458 +/- 70.59 (54.95%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:41 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.1933842655e+00 0.00e+00 5.30e-04 -8.748862e-04 -1.179681e-01 1.284582e+02 2 2.1789813592e+00 -2.31e-05 5.30e-06 -2.061577e-03 -4.746856e-02 3.173581e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.17898 rel. change during last iteration : -2.30702e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.012311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00015156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00206158 +/- 0.000132 (6.402%) b = -0.0474686 +/- 0.09592 (202.1%) c = 317.358 +/- 70.18 (22.11%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:42 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.6486055544e+00 0.00e+00 1.24e-03 -2.061577e-03 -4.746856e-02 3.173581e+02 2 2.6194063851e+00 -2.34e-03 1.24e-05 -3.420764e-04 -5.196587e-04 4.968850e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2.61941 rel. change during last iteration : -2.33856e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0134979 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000182194 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000342076 +/- 0.0001447 (42.3%) b = -0.000519659 +/- 0.1052 (2.024e+04%) c = 4.96885 +/- 76.94 (1548%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:43 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.0222694804e+00 0.00e+00 1.98e-04 -3.420764e-04 -5.196587e-04 4.968850e+00 2 1.9812073992e+00 -3.45e-01 1.98e-06 1.651668e-03 2.879753e-03 -3.003451e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.98121 rel. change during last iteration : -3.45434e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.011739 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000137804 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00165167 +/- 0.0001258 (7.619%) b = 0.00287975 +/- 0.09145 (3176%) c = -300.345 +/- 66.91 (22.28%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:44 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.7086300427e+00 0.00e+00 1.01e-03 1.651668e-03 2.879753e-03 -3.003451e+02 3 2.7050356380e+00 -7.12e-03 1.01e-06 1.018614e-03 5.870316e-02 -1.071037e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.70504 rel. change during last iteration : -7.11697e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00018815 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00101861 +/- 0.000147 (14.44%) b = 0.0587032 +/- 0.1069 (182%) c = -107.104 +/- 78.2 (73.01%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:45 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.1091787823e+00 0.00e+00 6.01e-04 1.018614e-03 5.870316e-02 -1.071037e+02 2 2.0666919570e+00 -2.50e-04 6.01e-06 -1.048650e-03 5.003709e-02 2.563002e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.06669 rel. change during last iteration : -2.49784e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0119896 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00014375 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00104865 +/- 0.0001285 (12.26%) b = 0.0500371 +/- 0.0934 (186.7%) c = 256.3 +/- 68.34 (26.66%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:46 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.5970702038e+00 0.00e+00 6.69e-04 -1.048650e-03 5.003709e-02 2.563002e+02 2 2.5944094807e+00 -1.09e-03 6.69e-06 -1.427080e-03 -7.172419e-02 2.424151e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.59441 rel. change during last iteration : -1.0857e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0134334 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000180456 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00142708 +/- 0.000144 (10.09%) b = -0.0717242 +/- 0.1047 (145.9%) c = 242.415 +/- 76.57 (31.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:47 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.2683105526e+00 0.00e+00 8.68e-04 -1.427080e-03 -7.172419e-02 2.424151e+02 2 2.2395221565e+00 -1.08e-04 8.68e-06 2.986997e-04 -1.114986e-01 -9.211200e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.23952 rel. change during last iteration : -1.07928e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0124808 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000155771 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0002987 +/- 0.0001338 (44.79%) b = -0.111499 +/- 0.09724 (87.21%) c = -92.112 +/- 71.15 (77.24%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:48 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.4519054640e+00 0.00e+00 2.12e-04 2.986997e-04 -1.114986e-01 -9.211200e+01 2 2.4373440826e+00 -4.61e-06 2.12e-06 1.400918e-03 7.054971e-02 -2.112571e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.43734 rel. change during last iteration : -4.60811e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0130204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000169531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00140092 +/- 0.0001396 (9.963%) b = 0.0705497 +/- 0.1014 (143.8%) c = -211.257 +/- 74.22 (35.13%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:49 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.3926185578e+00 0.00e+00 8.43e-04 1.400918e-03 7.054971e-02 -2.112571e+02 2 2.3810447883e+00 -1.03e-03 8.43e-06 2.995049e-04 2.145882e-01 3.980991e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.38104 rel. change during last iteration : -1.02616e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0128691 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000165615 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000299505 +/- 0.000138 (46.06%) b = 0.214588 +/- 0.1003 (46.72%) c = 39.8099 +/- 73.36 (184.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 13:50:50 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 9944 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 1.7206199152e+00 0.00e+00 2.18e-04 2.995049e-04 2.145882e-01 3.980991e+01 2 1.7027750104e+00 -6.69e-05 2.18e-06 -1.145760e-03 4.934366e-01 -2.566243e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.70278 rel. change during last iteration : -6.69347e-10 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0130877 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000171288 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00114576 +/- 0.0001706 (14.89%) b = 0.493437 +/- 0.3234 (65.55%) c = -25.6624 +/- 165 (643.2%) correlation matrix of the fit parameters: a b c a 1.000 b -0.371 1.000 c 0.049 -0.856 1.000 ******************************************************************************* Tue Feb 4 13:58:12 2025 FIT: data read from yvp u 2:3 format = x:z #datapoints = 20 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(k*x+b)+c fitted parameters initialized with current variable values Warning: Initial value of parameter 'b' is zero. Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c k 0 2.8787593006e+06 0.00e+00 4.43e+03 4.000000e+02 1.000000e-30 1.000000e-30 7.000000e-04 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 13:58:14 2025 FIT: data read from yvp u 2:3 format = x:z #datapoints = 20 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(k*x+b)+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c k 0 9.1367771741e+05 0.00e+00 3.18e+02 -7.034091e+01 1.000000e-30 1.000000e-30 2.871952e-04 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 13:58:16 2025 FIT: data read from yvp u 2:3 format = x:z #datapoints = 20 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a*sin(k*x+b)+c fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c k 0 9.1368592921e+05 0.00e+00 3.19e+02 -7.034078e+01 1.000000e-30 1.000000e-30 2.873109e-04 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:02:51 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 15319 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 2.4510758421e+09 0.00e+00 2.31e+02 4.000000e+02 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:02:58 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 15319 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 3.5567320193e+00 0.00e+00 1.69e-03 -2.924344e-03 1.000000e-30 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:03:37 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 15319 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 1.5416908138e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 6 3.5512687591e+00 -4.78e-01 5.77e-07 -3.318111e-03 2.896964e-01 2.773793e+02 After 6 iterations the fit converged. final sum of squares of residuals : 3.55127 rel. change during last iteration : -4.7771e-06 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0152272 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000231867 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00331811 +/- 0.0001594 (4.803%) b = 0.289696 +/- 0.1141 (39.38%) c = 277.379 +/- 82.46 (29.73%) correlation matrix of the fit parameters: a b c a 1.000 b 0.058 1.000 c -0.627 -0.252 1.000 ******************************************************************************* Tue Feb 4 14:03:39 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14654 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 1.8032977717e+00 0.00e+00 1.95e-03 -3.318111e-03 2.896964e-01 2.773793e+02 2 1.7659528266e+00 -4.47e-04 1.95e-05 -4.989255e-03 6.766920e-02 3.763902e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.76595 rel. change during last iteration : -4.46882e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0109788 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000120535 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00498925 +/- 0.0001168 (2.341%) b = 0.0676692 +/- 0.08458 (125%) c = 376.39 +/- 61.78 (16.41%) correlation matrix of the fit parameters: a b c a 1.000 b 0.053 1.000 c -0.625 -0.207 1.000 ******************************************************************************* Tue Feb 4 14:03:40 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14470 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 3.3460827051e+00 0.00e+00 2.91e-03 -4.989255e-03 6.766920e-02 3.763902e+02 2 3.1908109077e+00 -2.97e-01 2.91e-05 -1.124730e-03 -1.726519e-01 -2.136568e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.19081 rel. change during last iteration : -2.96557e-06 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0148512 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000220558 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00112473 +/- 0.0001588 (14.12%) b = -0.172652 +/- 0.1153 (66.76%) c = -213.657 +/- 84.24 (39.43%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.624 -0.198 1.000 ******************************************************************************* Tue Feb 4 14:03:41 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14391 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 1.9351444875e+00 0.00e+00 7.00e-04 -1.124730e-03 -1.726519e-01 -2.136568e+02 2 1.9327061354e+00 -6.72e-05 7.00e-06 -1.113369e-03 1.149047e-01 -1.087578e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.93271 rel. change during last iteration : -6.72053e-10 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.01159 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000134328 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00111337 +/- 0.0001242 (11.16%) b = 0.114905 +/- 0.09029 (78.58%) c = -108.758 +/- 66.08 (60.76%) correlation matrix of the fit parameters: a b c a 1.000 b 0.052 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:42 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 3.0529643903e+00 0.00e+00 6.58e-04 -1.113369e-03 1.149047e-01 -1.087578e+02 2 3.0406147730e+00 -2.10e-04 6.58e-06 -2.279680e-03 2.474825e-01 2.571851e+02 After 2 iterations the fit converged. final sum of squares of residuals : 3.04061 rel. change during last iteration : -2.09769e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145428 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000211492 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00227968 +/- 0.0001559 (6.838%) b = 0.247482 +/- 0.1133 (45.79%) c = 257.185 +/- 82.91 (32.24%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.195 1.000 ******************************************************************************* Tue Feb 4 14:03:43 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.9510863298e+00 0.00e+00 1.36e-03 -2.279680e-03 2.474825e-01 2.571851e+02 2 2.9430522365e+00 -3.71e-06 1.36e-05 -1.483786e-03 2.157454e-01 2.162968e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.94305 rel. change during last iteration : -3.71332e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0143075 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000204706 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00148379 +/- 0.0001534 (10.34%) b = 0.215745 +/- 0.1114 (51.66%) c = 216.297 +/- 81.54 (37.7%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:44 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.5135533532e+00 0.00e+00 9.00e-04 -1.483786e-03 2.157454e-01 2.162968e+02 2 2.4915525075e+00 -2.46e-05 9.00e-06 -3.203815e-05 2.048797e-01 3.068552e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2.49155 rel. change during last iteration : -2.46464e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0131644 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000173301 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -3.20381e-05 +/- 0.0001411 (440.5%) b = 0.20488 +/- 0.1026 (50.06%) c = 3.06855 +/- 75.04 (2445%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:45 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 1.8798304911e+00 0.00e+00 1.31e-04 -3.203815e-05 2.048797e-01 3.068552e+00 2 1.8500089880e+00 -5.81e-01 1.31e-06 1.705426e-03 9.859584e-02 -3.121050e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85001 rel. change during last iteration : -5.81448e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0113436 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000128678 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00170543 +/- 0.0001216 (7.13%) b = 0.0985958 +/- 0.08839 (89.64%) c = -312.105 +/- 64.67 (20.72%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:46 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.7153622484e+00 0.00e+00 1.05e-03 1.705426e-03 9.859584e-02 -3.121050e+02 2 2.7144313485e+00 -7.82e-04 1.05e-05 1.505020e-03 -6.845641e-02 -2.817943e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.71443 rel. change during last iteration : -7.81868e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137406 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000188804 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00150502 +/- 0.0001473 (9.787%) b = -0.0684564 +/- 0.107 (156.4%) c = -281.794 +/- 78.32 (27.79%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:47 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.2615536128e+00 0.00e+00 9.24e-04 1.505020e-03 -6.845641e-02 -2.817943e+02 2 2.2048212317e+00 -2.99e-04 9.24e-06 -8.748862e-04 -1.179681e-01 1.284582e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.20482 rel. change during last iteration : -2.99163e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0123838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000153358 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000874886 +/- 0.0001328 (15.17%) b = -0.117968 +/- 0.09648 (81.78%) c = 128.458 +/- 70.59 (54.95%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:48 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.1933842655e+00 0.00e+00 5.30e-04 -8.748862e-04 -1.179681e-01 1.284582e+02 2 2.1789813592e+00 -2.31e-05 5.30e-06 -2.061577e-03 -4.746856e-02 3.173581e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.17898 rel. change during last iteration : -2.30702e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.012311 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00015156 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00206158 +/- 0.000132 (6.402%) b = -0.0474686 +/- 0.09592 (202.1%) c = 317.358 +/- 70.18 (22.11%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:49 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.6486055544e+00 0.00e+00 1.24e-03 -2.061577e-03 -4.746856e-02 3.173581e+02 2 2.6194063851e+00 -2.34e-03 1.24e-05 -3.420764e-04 -5.196587e-04 4.968850e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2.61941 rel. change during last iteration : -2.33856e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0134979 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000182194 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000342076 +/- 0.0001447 (42.3%) b = -0.000519659 +/- 0.1052 (2.024e+04%) c = 4.96885 +/- 76.94 (1548%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:50 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.0222694804e+00 0.00e+00 1.98e-04 -3.420764e-04 -5.196587e-04 4.968850e+00 2 1.9812073992e+00 -3.45e-01 1.98e-06 1.651668e-03 2.879753e-03 -3.003451e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.98121 rel. change during last iteration : -3.45434e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.011739 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000137804 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00165167 +/- 0.0001258 (7.619%) b = 0.00287975 +/- 0.09145 (3176%) c = -300.345 +/- 66.91 (22.28%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:50 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.7086300427e+00 0.00e+00 1.01e-03 1.651668e-03 2.879753e-03 -3.003451e+02 3 2.7050356380e+00 -7.12e-03 1.01e-06 1.018614e-03 5.870316e-02 -1.071037e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.70504 rel. change during last iteration : -7.11697e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0137168 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00018815 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00101861 +/- 0.000147 (14.44%) b = 0.0587032 +/- 0.1069 (182%) c = -107.104 +/- 78.2 (73.01%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:52 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.1091787823e+00 0.00e+00 6.01e-04 1.018614e-03 5.870316e-02 -1.071037e+02 2 2.0666919570e+00 -2.50e-04 6.01e-06 -1.048650e-03 5.003709e-02 2.563002e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.06669 rel. change during last iteration : -2.49784e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0119896 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00014375 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00104865 +/- 0.0001285 (12.26%) b = 0.0500371 +/- 0.0934 (186.7%) c = 256.3 +/- 68.34 (26.66%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:53 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.5970702038e+00 0.00e+00 6.69e-04 -1.048650e-03 5.003709e-02 2.563002e+02 2 2.5944094807e+00 -1.09e-03 6.69e-06 -1.427080e-03 -7.172419e-02 2.424151e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.59441 rel. change during last iteration : -1.0857e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0134334 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000180456 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00142708 +/- 0.000144 (10.09%) b = -0.0717242 +/- 0.1047 (145.9%) c = 242.415 +/- 76.57 (31.59%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:54 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.2683105526e+00 0.00e+00 8.68e-04 -1.427080e-03 -7.172419e-02 2.424151e+02 2 2.2395221565e+00 -1.08e-04 8.68e-06 2.986997e-04 -1.114986e-01 -9.211200e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.23952 rel. change during last iteration : -1.07928e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0124808 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000155771 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0002987 +/- 0.0001338 (44.79%) b = -0.111499 +/- 0.09724 (87.21%) c = -92.112 +/- 71.15 (77.24%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:54 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.4519054640e+00 0.00e+00 2.12e-04 2.986997e-04 -1.114986e-01 -9.211200e+01 2 2.4373440826e+00 -4.61e-06 2.12e-06 1.400918e-03 7.054971e-02 -2.112571e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.43734 rel. change during last iteration : -4.60811e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0130204 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000169531 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00140092 +/- 0.0001396 (9.963%) b = 0.0705497 +/- 0.1014 (143.8%) c = -211.257 +/- 74.22 (35.13%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:55 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 14380 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 2.3926185578e+00 0.00e+00 8.43e-04 1.400918e-03 7.054971e-02 -2.112571e+02 2 2.3810447883e+00 -1.03e-03 8.43e-06 2.995049e-04 2.145882e-01 3.980991e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.38104 rel. change during last iteration : -1.02616e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0128691 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000165615 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000299505 +/- 0.000138 (46.06%) b = 0.214588 +/- 0.1003 (46.72%) c = 39.8099 +/- 73.36 (184.3%) correlation matrix of the fit parameters: a b c a 1.000 b 0.051 1.000 c -0.624 -0.194 1.000 ******************************************************************************* Tue Feb 4 14:03:56 2025 FIT: data read from file[i] u 9:6 format = x:z #datapoints = 9944 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 1.7206199152e+00 0.00e+00 2.18e-04 2.995049e-04 2.145882e-01 3.980991e+01 2 1.7027750104e+00 -6.69e-05 2.18e-06 -1.145760e-03 4.934366e-01 -2.566243e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.70278 rel. change during last iteration : -6.69347e-10 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0130877 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000171288 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00114576 +/- 0.0001706 (14.89%) b = 0.493437 +/- 0.3234 (65.55%) c = -25.6624 +/- 165 (643.2%) correlation matrix of the fit parameters: a b c a 1.000 b -0.371 1.000 c 0.049 -0.856 1.000 ******************************************************************************* Tue Feb 4 14:12:16 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 8337 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 2.0614841679e+00 0.00e+00 7.44e-04 -1.145760e-03 4.934366e-01 -2.566243e+01 2 2.0347661768e+00 -2.03e-04 7.44e-06 -3.167646e-03 7.390268e-01 -2.794690e+01 After 2 iterations the fit converged. final sum of squares of residuals : 2.03477 rel. change during last iteration : -2.02941e-09 degrees of freedom (FIT_NDF) : 8334 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0156254 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000244152 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00316765 +/- 0.000417 (13.16%) b = 0.739027 +/- 0.7591 (102.7%) c = -27.9469 +/- 294.9 (1055%) correlation matrix of the fit parameters: a b c a 1.000 b -0.847 1.000 c 0.684 -0.942 1.000 ******************************************************************************* Tue Feb 4 14:12:18 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7809 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 1.0412345040e+00 0.00e+00 1.89e-03 -3.167646e-03 7.390268e-01 -2.794690e+01 3 1.0104986259e+00 -4.71e-04 1.89e-06 -5.415295e-03 8.682958e-01 9.236644e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1.0105 rel. change during last iteration : -4.70862e-09 degrees of freedom (FIT_NDF) : 7806 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0113777 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000129452 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00541529 +/- 0.0003093 (5.712%) b = 0.868296 +/- 0.573 (66%) c = 92.3664 +/- 225.2 (243.8%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.682 -0.940 1.000 ******************************************************************************* Tue Feb 4 14:12:19 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7676 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 1.8099265305e+00 0.00e+00 3.18e-03 -5.415295e-03 8.682958e-01 9.236644e+01 2 1.7418044121e+00 -8.15e-03 3.18e-05 -1.165850e-03 -6.216364e-01 5.554041e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.7418 rel. change during last iteration : -8.14518e-08 degrees of freedom (FIT_NDF) : 7673 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0150667 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000227004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00116585 +/- 0.0004118 (35.32%) b = -0.621636 +/- 0.7639 (122.9%) c = 55.5404 +/- 300.4 (540.9%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:21 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7623 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 1.0857418387e+00 0.00e+00 7.92e-04 -1.165850e-03 -6.216364e-01 5.554041e+01 2 1.0826852726e+00 -3.92e-06 7.92e-06 -6.607568e-04 -4.959666e-01 5.844561e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.08269 rel. change during last iteration : -3.91531e-11 degrees of freedom (FIT_NDF) : 7620 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0119199 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000142085 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000660757 +/- 0.0003267 (49.44%) b = -0.495967 +/- 0.6072 (122.4%) c = 58.4456 +/- 239.1 (409.2%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:22 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7628 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 1.6701445416e+00 0.00e+00 5.08e-04 -6.607568e-04 -4.959666e-01 5.844561e+01 2 1.6648589947e+00 -3.84e-03 5.08e-06 -1.914673e-03 -9.269427e-03 2.553060e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.66486 rel. change during last iteration : -3.84395e-08 degrees of freedom (FIT_NDF) : 7625 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0147764 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000218342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00191467 +/- 0.0004042 (21.11%) b = -0.00926943 +/- 0.7515 (8108%) c = 255.306 +/- 296.1 (116%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.680 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:22 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7621 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 1.6218409755e+00 0.00e+00 1.15e-03 -1.914673e-03 -9.269427e-03 2.553060e+02 2 1.6179922853e+00 -5.22e-01 1.15e-05 -1.098053e-03 -1.235600e-01 2.530003e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.61799 rel. change during last iteration : -5.2175e-06 degrees of freedom (FIT_NDF) : 7618 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145736 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000212391 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00109805 +/- 0.0003995 (36.38%) b = -0.12356 +/- 0.7424 (600.8%) c = 253 +/- 292.4 (115.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:23 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7622 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 1.3910948707e+00 0.00e+00 7.10e-04 -1.098053e-03 -1.235600e-01 2.530003e+02 2 1.3801763129e+00 -3.60e-02 7.10e-06 5.080946e-04 -5.728836e-01 2.271179e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.38018 rel. change during last iteration : -3.60395e-07 degrees of freedom (FIT_NDF) : 7619 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0134592 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000181149 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000508095 +/- 0.0003687 (72.57%) b = -0.572884 +/- 0.6854 (119.6%) c = 227.118 +/- 269.9 (118.9%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:24 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7626 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 1.0481772377e+00 0.00e+00 5.54e-04 5.080946e-04 -5.728836e-01 2.271179e+02 2 1.0372634224e+00 -1.27e-04 5.54e-06 1.985244e-03 -6.185961e-01 -1.459370e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.03726 rel. change during last iteration : -1.26971e-09 degrees of freedom (FIT_NDF) : 7623 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0116649 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00013607 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00198524 +/- 0.0003192 (16.08%) b = -0.618596 +/- 0.5935 (95.94%) c = -14.5937 +/- 233.8 (1602%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.680 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:25 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7623 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 1.4815454706e+00 0.00e+00 1.22e-03 1.985244e-03 -6.185961e-01 -1.459370e+01 3 1.4799730643e+00 -4.06e-03 1.22e-06 1.188862e-03 1.224365e-01 -2.585686e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.47997 rel. change during last iteration : -4.0606e-08 degrees of freedom (FIT_NDF) : 7620 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139364 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000194222 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00118886 +/- 0.0003818 (32.11%) b = 0.122437 +/- 0.7096 (579.5%) c = -258.569 +/- 279.5 (108.1%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:26 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7623 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 1.2772050022e+00 0.00e+00 7.60e-04 1.188862e-03 1.224365e-01 -2.585686e+02 2 1.2488375715e+00 -2.71e-01 7.60e-06 -1.530752e-03 1.138145e+00 -3.185792e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.24884 rel. change during last iteration : -2.70885e-06 degrees of freedom (FIT_NDF) : 7620 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0128019 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000163889 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00153075 +/- 0.0003507 (22.91%) b = 1.13814 +/- 0.6518 (57.27%) c = -318.579 +/- 256.8 (80.59%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:26 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7623 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 1.1964325697e+00 0.00e+00 1.23e-03 -1.530752e-03 1.138145e+00 -3.185792e+02 2 1.1918862312e+00 -1.44e-03 1.23e-05 -2.117634e-03 4.927750e-01 2.997690e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.19189 rel. change during last iteration : -1.44363e-08 degrees of freedom (FIT_NDF) : 7620 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0125066 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000156416 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00211763 +/- 0.0003426 (16.18%) b = 0.492775 +/- 0.6367 (129.2%) c = 29.9769 +/- 250.8 (836.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:27 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7622 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 1.4798914761e+00 0.00e+00 1.27e-03 -2.117634e-03 4.927750e-01 2.997690e+01 3 1.4629926671e+00 -2.44e-04 1.27e-06 3.858106e-04 -1.244883e+00 4.123619e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.46299 rel. change during last iteration : -2.44449e-09 degrees of freedom (FIT_NDF) : 7619 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0138571 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000192019 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000385811 +/- 0.0003797 (98.42%) b = -1.24488 +/- 0.7057 (56.69%) c = 412.362 +/- 277.9 (67.4%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:29 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7627 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 1.1257160358e+00 0.00e+00 9.91e-04 3.858106e-04 -1.244883e+00 4.123619e+02 2 1.1088770244e+00 -7.39e-03 9.91e-06 2.064686e-03 -1.219041e+00 2.242214e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.10888 rel. change during last iteration : -7.38612e-08 degrees of freedom (FIT_NDF) : 7624 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0120601 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000145446 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00206469 +/- 0.0003299 (15.98%) b = -1.21904 +/- 0.6134 (50.32%) c = 224.221 +/- 241.7 (107.8%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.680 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:30 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7621 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 1.4851484148e+00 0.00e+00 1.47e-03 2.064686e-03 -1.219041e+00 2.242214e+02 2 1.4819440463e+00 -1.70e-02 1.47e-05 6.118800e-04 5.383669e-01 -2.114912e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.48194 rel. change during last iteration : -1.69628e-07 degrees of freedom (FIT_NDF) : 7618 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0139475 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000194532 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00061188 +/- 0.0003823 (62.48%) b = 0.538367 +/- 0.7105 (132%) c = -211.491 +/- 279.8 (132.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:32 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7620 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 1.2017102829e+00 0.00e+00 5.65e-04 6.118800e-04 5.383669e-01 -2.114912e+02 2 1.1831533679e+00 -7.22e-04 5.65e-06 -1.555037e-03 1.293600e+00 -2.413851e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.18315 rel. change during last iteration : -7.22171e-09 degrees of freedom (FIT_NDF) : 7617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0124632 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000155331 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00155504 +/- 0.0003418 (21.98%) b = 1.2936 +/- 0.6351 (49.1%) c = -241.385 +/- 250.1 (103.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:34 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7622 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 1.3964156977e+00 0.00e+00 1.28e-03 -1.555037e-03 1.293600e+00 -2.413851e+02 2 1.3938945029e+00 -7.99e-03 1.28e-05 -1.183102e-03 -2.196936e-01 2.264698e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.39389 rel. change during last iteration : -7.9917e-08 degrees of freedom (FIT_NDF) : 7619 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0135259 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00018295 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0011831 +/- 0.0003706 (31.33%) b = -0.219694 +/- 0.6889 (313.6%) c = 226.47 +/- 271.3 (119.8%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:36 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7622 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 1.3036591443e+00 0.00e+00 7.51e-04 -1.183102e-03 -2.196936e-01 2.264698e+02 2 1.2910933508e+00 -4.64e-02 7.51e-06 8.983596e-04 -1.460417e+00 4.278156e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.29109 rel. change during last iteration : -4.63621e-07 degrees of freedom (FIT_NDF) : 7619 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0130176 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000169457 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00089836 +/- 0.0003567 (39.71%) b = -1.46042 +/- 0.663 (45.39%) c = 427.816 +/- 261.1 (61.03%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:38 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7621 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 1.3101250729e+00 0.00e+00 1.22e-03 8.983596e-04 -1.460417e+00 4.278156e+02 2 1.3019473027e+00 -3.43e-04 1.22e-05 1.450049e-03 -5.106526e-01 9.847151e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.30195 rel. change during last iteration : -3.43259e-09 degrees of freedom (FIT_NDF) : 7618 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.013073 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000170904 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00145005 +/- 0.0003584 (24.71%) b = -0.510653 +/- 0.6659 (130.4%) c = 98.4715 +/- 262.3 (266.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:39 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7623 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 1.3511069720e+00 0.00e+00 9.11e-04 1.450049e-03 -5.106526e-01 9.847151e+01 2 1.3463345184e+00 -3.17e-02 9.11e-06 -1.025553e-04 8.666794e-01 -1.659138e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.34633 rel. change during last iteration : -3.16643e-07 degrees of freedom (FIT_NDF) : 7620 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0132923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000176684 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000102555 +/- 0.0003641 (355%) b = 0.866679 +/- 0.6768 (78.09%) c = -165.914 +/- 266.6 (160.7%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:41 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7604 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 1.2843187275e+00 0.00e+00 6.12e-04 -1.025553e-04 8.666794e-01 -1.659138e+02 2 1.2728640798e+00 -9.00e-02 6.12e-06 -1.247404e-03 6.528293e-01 -7.456583e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.27286 rel. change during last iteration : -8.99521e-07 degrees of freedom (FIT_NDF) : 7601 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0129406 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00016746 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0012474 +/- 0.0003565 (28.58%) b = 0.652829 +/- 0.6613 (101.3%) c = -74.5658 +/- 260.1 (348.8%) correlation matrix of the fit parameters: a b c a 1.000 b -0.847 1.000 c 0.683 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:12:42 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 9587 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 2.0977023433e+00 0.00e+00 8.68e-04 -1.247404e-03 6.528293e-01 -7.456583e+01 2 2.0894303050e+00 -6.69e-02 8.68e-06 -4.522048e-06 -1.688036e+00 4.148078e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.08943 rel. change during last iteration : -6.69035e-07 degrees of freedom (FIT_NDF) : 9584 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0147652 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000218012 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -4.52205e-06 +/- 0.0003681 (8140%) b = -1.68804 +/- 0.6331 (37.51%) c = 414.808 +/- 233 (56.16%) correlation matrix of the fit parameters: a b c a 1.000 b -0.848 1.000 c 0.684 -0.941 1.000 ******************************************************************************* Tue Feb 4 14:12:44 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 8819 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 2.3319101534e+00 0.00e+00 1.31e-03 -4.522048e-06 -1.688036e+00 4.148078e+02 4 2.3163506544e+00 -9.11e-04 1.31e-07 -1.879935e-03 -9.853666e-01 3.376621e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.31635 rel. change during last iteration : -9.11226e-09 degrees of freedom (FIT_NDF) : 8816 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0162094 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000262744 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00187994 +/- 0.0004203 (22.36%) b = -0.985367 +/- 0.7479 (75.9%) c = 337.662 +/- 285.5 (84.56%) correlation matrix of the fit parameters: a b c a 1.000 b -0.846 1.000 c 0.681 -0.941 1.000 ******************************************************************************* Tue Feb 4 14:12:50 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 8071 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 1.8275972022e+00 0.00e+00 1.35e-03 -1.879935e-03 -9.853666e-01 3.376621e+02 2 1.8253619401e+00 -3.50e-03 1.35e-05 -3.073047e-03 5.034021e-01 -2.101653e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.82536 rel. change during last iteration : -3.49998e-08 degrees of freedom (FIT_NDF) : 8068 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0150415 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000226247 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00307305 +/- 0.0004037 (13.14%) b = 0.503402 +/- 0.7399 (147%) c = -21.0165 +/- 289.2 (1376%) correlation matrix of the fit parameters: a b c a 1.000 b -0.845 1.000 c 0.680 -0.941 1.000 ******************************************************************************* Tue Feb 4 14:12:56 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 8001 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 1.2072372748e+00 0.00e+00 1.81e-03 -3.073047e-03 5.034021e-01 -2.101653e+01 3 1.1984636545e+00 -5.00e-03 1.81e-06 -4.765495e-03 1.570778e+00 -2.557606e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.19846 rel. change during last iteration : -4.99878e-08 degrees of freedom (FIT_NDF) : 7998 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0122411 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000149845 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0047655 +/- 0.0003293 (6.911%) b = 1.57078 +/- 0.6043 (38.47%) c = -255.761 +/- 236.5 (92.48%) correlation matrix of the fit parameters: a b c a 1.000 b -0.845 1.000 c 0.679 -0.940 1.000 ******************************************************************************* Tue Feb 4 14:12:59 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7743 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 9.9480963357e-01 0.00e+00 2.96e-03 -4.765495e-03 1.570778e+00 -2.557606e+02 2 9.9249438096e-01 -6.11e-03 2.96e-05 -5.251136e-03 1.385522e+00 -1.679552e+02 After 2 iterations the fit converged. final sum of squares of residuals : 0.992494 rel. change during last iteration : -6.10559e-08 degrees of freedom (FIT_NDF) : 7740 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0113238 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000128229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00525114 +/- 0.0003075 (5.856%) b = 1.38552 +/- 0.5697 (41.12%) c = -167.955 +/- 224.4 (133.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:13:03 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7724 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 1.1778520129e+00 0.00e+00 3.18e-03 -5.251136e-03 1.385522e+00 -1.679552e+02 2 1.1777455628e+00 -2.87e-02 3.18e-05 -4.986501e-03 1.048649e+00 -8.569073e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.17775 rel. change during last iteration : -2.87249e-07 degrees of freedom (FIT_NDF) : 7721 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0123506 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000152538 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.0049865 +/- 0.0003358 (6.734%) b = 1.04865 +/- 0.6223 (59.34%) c = -85.6907 +/- 245.2 (286.1%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:13:06 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7630 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 1.5968603040e+00 0.00e+00 2.96e-03 -4.986501e-03 1.048649e+00 -8.569073e+01 2 1.5956856591e+00 -1.13e-01 2.96e-05 -4.467312e-03 7.978694e-01 -6.016285e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1.59569 rel. change during last iteration : -1.13401e-06 degrees of freedom (FIT_NDF) : 7627 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144643 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000209215 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00446731 +/- 0.0003953 (8.85%) b = 0.797869 +/- 0.7365 (92.31%) c = -6.01629 +/- 291.4 (4843%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.679 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:13:08 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7621 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 1.7985075240e+00 0.00e+00 2.63e-03 -4.467312e-03 7.978694e-01 -6.016285e+00 4 1.7931893470e+00 -7.52e-05 2.63e-07 -3.087718e-03 -1.486596e-01 2.150797e+02 After 4 iterations the fit converged. final sum of squares of residuals : 1.79319 rel. change during last iteration : -7.52494e-10 degrees of freedom (FIT_NDF) : 7618 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0153424 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000235388 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00308772 +/- 0.0004193 (13.58%) b = -0.14866 +/- 0.7819 (526%) c = 215.08 +/- 309.7 (144%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:13:20 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7579 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 1.5357996556e+00 0.00e+00 1.80e-03 -3.087718e-03 -1.486596e-01 2.150797e+02 3 1.5315701880e+00 -2.18e-05 1.80e-06 -1.911541e-03 -9.466815e-01 4.350651e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.53157 rel. change during last iteration : -2.18008e-10 degrees of freedom (FIT_NDF) : 7576 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0142183 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000202161 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00191154 +/- 0.0003894 (20.37%) b = -0.946681 +/- 0.7261 (76.7%) c = 435.065 +/- 287.5 (66.09%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:13:27 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7567 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 1.0707862760e+00 0.00e+00 1.38e-03 -1.911541e-03 -9.466815e-01 4.350651e+02 2 1.0652568029e+00 -3.93e-04 1.38e-05 -7.017305e-04 -1.388329e+00 4.485214e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.06526 rel. change during last iteration : -3.9284e-09 degrees of freedom (FIT_NDF) : 7564 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0118673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000140832 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000701731 +/- 0.0003253 (46.36%) b = -1.38833 +/- 0.6065 (43.69%) c = 448.521 +/- 240.1 (53.54%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:13:35 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7562 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 1.0350821755e+00 0.00e+00 1.14e-03 -7.017305e-04 -1.388329e+00 4.485214e+02 2 1.0302543249e+00 -1.87e-04 1.14e-05 1.221057e-04 -1.199398e+00 2.810338e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.03025 rel. change during last iteration : -1.87173e-09 degrees of freedom (FIT_NDF) : 7559 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0116745 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000136295 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000122106 +/- 0.0003197 (261.8%) b = -1.1994 +/- 0.5963 (49.71%) c = 281.034 +/- 236.1 (84.02%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:13:42 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7555 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 1.5671166675e+00 0.00e+00 8.67e-04 1.221057e-04 -1.199398e+00 2.810338e+02 2 1.5662796955e+00 -8.18e-02 8.67e-06 -6.641039e-04 9.848579e-02 -1.606517e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.56628 rel. change during last iteration : -8.17776e-07 degrees of freedom (FIT_NDF) : 7552 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144014 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000207399 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000664104 +/- 0.000395 (59.48%) b = 0.0984858 +/- 0.7365 (747.8%) c = -160.652 +/- 291.5 (181.5%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:13:54 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7560 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 1.4623925414e+00 0.00e+00 4.35e-04 -6.641039e-04 9.848579e-02 -1.606517e+02 2 1.4546910852e+00 -8.27e-02 4.35e-06 -2.312768e-03 1.203844e+00 -4.158039e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.45469 rel. change during last iteration : -8.27463e-07 degrees of freedom (FIT_NDF) : 7557 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0138743 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000192496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00231277 +/- 0.0003801 (16.44%) b = 1.20384 +/- 0.7089 (58.89%) c = -415.804 +/- 280.7 (67.51%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:14:00 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7557 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 1.0522611557e+00 0.00e+00 1.64e-03 -2.312768e-03 1.203844e+00 -4.158039e+02 2 1.0478374990e+00 -3.07e-04 1.64e-05 -3.255445e-03 1.185403e+00 -2.122257e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04784 rel. change during last iteration : -3.07386e-09 degrees of freedom (FIT_NDF) : 7554 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0117776 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000138713 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.00325544 +/- 0.0003229 (9.92%) b = 1.1854 +/- 0.6022 (50.8%) c = -212.226 +/- 238.4 (112.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:14:09 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7557 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 1.6229567644e+00 0.00e+00 2.05e-03 -3.255445e-03 1.185403e+00 -2.122257e+02 2 1.6055603505e+00 -1.26e-01 2.05e-05 -7.638021e-04 -8.040845e-01 4.100555e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.60556 rel. change during last iteration : -1.26288e-06 degrees of freedom (FIT_NDF) : 7554 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0145789 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000212544 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000763802 +/- 0.0003998 (52.34%) b = -0.804084 +/- 0.7454 (92.7%) c = 410.056 +/- 295.1 (71.96%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:14:21 2025 FIT: data read from file[i] u 9:6 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 7556 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 1.0109102938e+00 0.00e+00 8.53e-04 -7.638021e-04 -8.040845e-01 4.100555e+02 2 9.8976323051e-01 -1.70e-03 8.53e-06 1.548736e-03 -1.665939e+00 4.978732e+02 After 2 iterations the fit converged. final sum of squares of residuals : 0.989763 rel. change during last iteration : -1.69648e-08 degrees of freedom (FIT_NDF) : 7553 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0114474 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000131042 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00154874 +/- 0.000314 (20.28%) b = -1.66594 +/- 0.5855 (35.15%) c = 497.873 +/- 231.8 (46.55%) correlation matrix of the fit parameters: a b c a 1.000 b -0.844 1.000 c 0.678 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:16:56 2025 FIT: data read from yvp u 2:3 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 36 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a+b*sin(k*x + c) BREAK: Need via and either parameter list or file ******************************************************************************* Tue Feb 4 14:17:05 2025 FIT: data read from yvp u 2:3 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 36 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a+b*sin(k*x + c) fitted parameters initialized with current variable values Warning: Initial value of parameter 'a' is zero. Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c k 0 4.2965144849e+06 0.00e+00 3.45e+03 1.000000e-30 3.000000e+02 1.000000e-30 1.000000e-03 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:17:17 2025 FIT: data read from yvp u 2:3 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 36 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a+b*sin(k*x + c) fitted parameters initialized with current variable values iter chisq delta/lim lambda b c k 0 2.4898089290e+06 0.00e+00 7.76e+02 4.650018e+01 1.000000e-30 1.141141e-03 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:17:25 2025 FIT: data read from yvp u 2:3 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 36 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a+b*sin(k*x + c) fitted parameters initialized with current variable values iter chisq delta/lim lambda b k 0 2.4898768806e+06 0.00e+00 9.51e+02 4.649882e+01 1.141987e-03 2 2.4897986504e+06 -9.63e-01 9.51e+00 4.647512e+01 1.140961e-03 After 2 iterations the fit converged. final sum of squares of residuals : 2.4898e+06 rel. change during last iteration : -9.63212e-06 degrees of freedom (FIT_NDF) : 34 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 270.609 variance of residuals (reduced chisquare) = WSSR/ndf : 73229.4 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 46.4751 +/- 63.22 (136%) k = 0.00114096 +/- 3.835e-05 (3.361%) correlation matrix of the fit parameters: b k b 1.000 k 0.031 1.000 ******************************************************************************* Tue Feb 4 14:18:14 2025 FIT: data read from yvp u 2:3 format = x:z x range restricted to [0.00000 : 80000.0] #datapoints = 36 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a+b*sin(k*x + c) fitted parameters initialized with current variable values iter chisq delta/lim lambda b k 0 4.7814264005e+06 0.00e+00 8.17e+03 4.000000e+02 1.140961e-03 5 2.4897901512e+06 -5.26e-01 8.17e-02 4.648130e+01 1.140788e-03 After 5 iterations the fit converged. final sum of squares of residuals : 2.48979e+06 rel. change during last iteration : -5.2615e-06 degrees of freedom (FIT_NDF) : 34 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 270.609 variance of residuals (reduced chisquare) = WSSR/ndf : 73229.1 Final set of parameters Asymptotic Standard Error ======================= ========================== b = 46.4813 +/- 63.22 (136%) k = 0.00114079 +/- 3.835e-05 (3.361%) correlation matrix of the fit parameters: b k b 1.000 k 0.031 1.000 ******************************************************************************* Tue Feb 4 14:19:39 2025 FIT: data read from file[1] u 6:9 format = x:z #datapoints = 15319 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)=a+b*x+c*x**2 BREAK: Need via and either parameter list or file ******************************************************************************* Tue Feb 4 14:19:48 2025 FIT: data read from file[1] u 6:9 format = x:z #datapoints = 15319 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 0 7.9673533317e+03 0.00e+00 5.10e-01 1.000000e-30 4.648130e+01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:19:57 2025 FIT: data read from file[1] u 6:9 format = x:z #datapoints = 15319 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 1.9361517576e-02 0.00e+00 1.63e-06 1.000000e-30 1.818939e-04 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:20:21 2025 FIT: data read from file[1] u 6:9 format = x:z #datapoints = 15319 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 1.9361517576e-02 0.00e+00 1.63e-06 1.000000e-30 1.817122e-04 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:20:50 2025 FIT: data read from file[1] u 6:9 format = x:z #datapoints = 15319 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 Warning: Initial value of parameter 'a' is zero. Warning: Initial value of parameter 'b' is zero. iter chisq delta/lim lambda a b c 0 2.5782954188e-02 0.00e+00 4.44e-04 1.000000e-30 1.000000e-30 2.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:20:56 2025 FIT: data read from file[1] u 6:9 format = x:z #datapoints = 15319 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 1.9169022468e-02 0.00e+00 6.48e-05 1.000000e-30 1.000000e-30 2.918454e-01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:29:28 2025 FIT: data read from file[1] u 6:9 format = x:z #datapoints = 15319 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 2.0306311187e-02 0.00e+00 2.22e-04 1.000000e-30 1.000000e-30 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:29:43 2025 FIT: data read from file[2] u 6:9 format = x:z #datapoints = 14654 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 1.7651233039e-02 0.00e+00 4.02e-05 1.000000e-30 1.000000e-30 2.918454e-01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:29:52 2025 FIT: data read from file[3] u 6:9 format = x:z #datapoints = 14470 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 1.7423255677e-02 0.00e+00 8.17e-05 1.000000e-30 1.000000e-30 4.194212e-01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:30:01 2025 FIT: data read from file[4] u 6:9 format = x:z #datapoints = 14391 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 1.7170803469e-02 0.00e+00 3.05e-05 1.000000e-30 1.000000e-30 2.158089e-01 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:30:43 2025 FIT: data read from file[4] u 6:9 format = x:z #datapoints = 14391 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 Warning: Initial value of parameter 'a' is zero. Warning: Initial value of parameter 'c' is zero. iter chisq delta/lim lambda a b c 0 1.9729126937e+00 0.00e+00 6.73e-03 1.000000e-30 1.000000e+00 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue Feb 4 14:30:59 2025 FIT: data read from file[4] u 6:9 format = x:z #datapoints = 14391 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 1.4392063703e+04 0.00e+00 5.77e-01 1.000000e+00 -1.508701e-04 1.000000e+00 6 1.7095117013e-02 -1.30e-01 5.77e-07 7.099741e-05 1.535708e-03 2.251289e-01 After 6 iterations the fit converged. final sum of squares of residuals : 0.0170951 rel. change during last iteration : -1.29527e-06 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109002 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18815e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.09974e-05 +/- 1.093e-05 (15.39%) b = 0.00153571 +/- 0.0007995 (52.06%) c = 0.225129 +/- 0.04556 (20.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.021 1.000 c -0.549 0.196 1.000 ******************************************************************************* Tue Feb 4 14:33:58 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 15319 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 1.5235847512e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 1.8984208237e-02 -1.43e-07 5.77e-06 1.254995e-04 3.002419e-03 1.344260e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0189842 rel. change during last iteration : -1.43243e-12 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111333 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2395e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0001255 +/- 1.157e-05 (9.217%) b = 0.00300242 +/- 0.0006312 (21.02%) c = 0.134426 +/- 0.03206 (23.85%) correlation matrix of the fit parameters: a b c a 1.000 b -0.077 1.000 c -0.611 0.354 1.000 ******************************************************************************* Tue Feb 4 14:35:06 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14654 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 1.7574210280e-02 0.00e+00 7.76e-05 1.254995e-04 3.002419e-03 1.344260e-01 2 1.7546548594e-02 -1.18e-04 7.76e-07 8.109350e-05 4.929284e-03 3.646515e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175465 rel. change during last iteration : -1.17847e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109437 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19763e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.10935e-05 +/- 1.123e-05 (13.85%) b = 0.00492928 +/- 0.0009505 (19.28%) c = 0.364652 +/- 0.05442 (14.92%) correlation matrix of the fit parameters: a b c a 1.000 b 0.040 1.000 c -0.493 0.502 1.000 ******************************************************************************* Tue Feb 4 14:36:12 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14470 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 1.7512687839e-02 0.00e+00 9.51e-05 8.109350e-05 4.929284e-03 3.646515e-01 2 1.7274317306e-02 -1.69e-05 9.51e-07 9.712712e-05 -1.206045e-03 1.628643e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172743 rel. change during last iteration : -1.69232e-10 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109273 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19405e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.71271e-05 +/- 1.21e-05 (12.45%) b = -0.00120604 +/- 0.0006186 (51.29%) c = 0.0162864 +/- 0.03625 (222.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.029 1.000 c -0.656 0.151 1.000 ******************************************************************************* Tue Feb 4 14:36:29 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14391 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 1.7128024887e-02 0.00e+00 5.67e-05 9.712712e-05 -1.206045e-03 1.628643e-02 2 1.7095117013e-02 -6.40e-02 5.67e-07 7.099751e-05 1.535790e-03 2.251290e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170951 rel. change during last iteration : -6.40109e-07 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109002 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18815e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.09975e-05 +/- 1.093e-05 (15.39%) b = 0.00153579 +/- 0.0007995 (52.05%) c = 0.225129 +/- 0.04556 (20.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.021 1.000 c -0.549 0.196 1.000 ******************************************************************************* Tue Feb 4 14:36:32 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7146267220e-02 0.00e+00 6.17e-05 7.099751e-05 1.535790e-03 2.251290e-01 2 1.7105895126e-02 -2.49e-06 6.17e-07 9.499310e-05 2.010674e-03 4.304933e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171059 rel. change during last iteration : -2.49059e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109078 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18981e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.49931e-05 +/- 1.18e-05 (12.42%) b = 0.00201067 +/- 0.0006556 (32.61%) c = 0.0430493 +/- 0.03623 (84.15%) correlation matrix of the fit parameters: a b c a 1.000 b -0.091 1.000 c -0.629 0.301 1.000 ******************************************************************************* Tue Feb 4 14:36:33 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7115004959e-02 0.00e+00 5.79e-05 9.499310e-05 2.010674e-03 4.304933e-02 2 1.7114227996e-02 -1.33e-05 5.79e-07 8.827555e-05 1.840707e-03 6.786509e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171142 rel. change during last iteration : -1.32515e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109105 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19039e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.82755e-05 +/- 1.175e-05 (13.31%) b = 0.00184071 +/- 0.0006502 (35.32%) c = 0.0678651 +/- 0.03664 (53.99%) correlation matrix of the fit parameters: a b c a 1.000 b -0.069 1.000 c -0.629 0.210 1.000 ******************************************************************************* Tue Feb 4 14:36:34 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7106934726e-02 0.00e+00 5.41e-05 8.827555e-05 1.840707e-03 6.786509e-02 2 1.7104933660e-02 -6.91e-06 5.41e-07 8.016894e-05 1.517088e-03 1.143965e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171049 rel. change during last iteration : -6.91379e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109075 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18974e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.01689e-05 +/- 1.136e-05 (14.18%) b = 0.00151709 +/- 0.0006918 (45.6%) c = 0.114396 +/- 0.03931 (34.36%) correlation matrix of the fit parameters: a b c a 1.000 b -0.031 1.000 c -0.599 0.052 1.000 ******************************************************************************* Tue Feb 4 14:36:34 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7107280652e-02 0.00e+00 4.96e-05 8.016894e-05 1.517088e-03 1.143965e-01 2 1.7097702662e-02 -1.92e-05 4.96e-07 7.296935e-05 -3.441998e-04 2.121032e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170977 rel. change during last iteration : -1.923e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109052 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.29694e-05 +/- 1.118e-05 (15.33%) b = -0.0003442 +/- 0.0008095 (235.2%) c = 0.212103 +/- 0.05032 (23.73%) correlation matrix of the fit parameters: a b c a 1.000 b -0.013 1.000 c -0.574 -0.143 1.000 ******************************************************************************* Tue Feb 4 14:36:35 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7145326856e-02 0.00e+00 5.57e-05 7.296935e-05 -3.441998e-04 2.121032e-01 2 1.7118881854e-02 -6.33e-04 5.57e-07 9.311679e-05 -1.002827e-03 4.238648e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171189 rel. change during last iteration : -6.33402e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010912 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19071e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.31168e-05 +/- 1.187e-05 (12.75%) b = -0.00100283 +/- 0.0006689 (66.7%) c = 0.0423865 +/- 0.04043 (95.39%) correlation matrix of the fit parameters: a b c a 1.000 b 0.028 1.000 c -0.639 -0.144 1.000 ******************************************************************************* Tue Feb 4 14:36:36 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7111029089e-02 0.00e+00 5.46e-05 9.311679e-05 -1.002827e-03 4.238648e-02 2 1.7095335086e-02 -6.50e-04 5.46e-07 6.915317e-05 -4.304938e-04 1.989361e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170953 rel. change during last iteration : -6.50459e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109045 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18908e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.91532e-05 +/- 1.129e-05 (16.33%) b = -0.000430494 +/- 0.0007359 (170.9%) c = 0.198936 +/- 0.04358 (21.91%) correlation matrix of the fit parameters: a b c a 1.000 b 0.009 1.000 c -0.591 0.066 1.000 ******************************************************************************* Tue Feb 4 14:36:36 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7125837754e-02 0.00e+00 4.96e-05 6.915317e-05 -4.304938e-04 1.989361e-01 2 1.7115203721e-02 -4.69e-04 4.96e-07 8.719445e-05 5.595232e-04 8.982705e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171152 rel. change during last iteration : -4.69111e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109108 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19046e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.71945e-05 +/- 1.143e-05 (13.11%) b = 0.000559523 +/- 0.0007513 (134.3%) c = 0.089827 +/- 0.04554 (50.7%) correlation matrix of the fit parameters: a b c a 1.000 b -0.002 1.000 c -0.596 0.183 1.000 ******************************************************************************* Tue Feb 4 14:36:37 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7111604385e-02 0.00e+00 5.27e-05 8.719445e-05 5.595232e-04 8.982705e-02 2 1.7109845551e-02 -3.48e-05 5.27e-07 7.689086e-05 1.181742e-04 1.271709e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171098 rel. change during last iteration : -3.48467e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109091 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19008e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68909e-05 +/- 1.172e-05 (15.24%) b = 0.000118174 +/- 0.000675 (571.2%) c = 0.127171 +/- 0.04058 (31.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.014 1.000 c -0.630 0.053 1.000 ******************************************************************************* Tue Feb 4 14:36:38 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7105219745e-02 0.00e+00 4.78e-05 7.689086e-05 1.181742e-04 1.271709e-01 2 1.7100310934e-02 -1.03e-01 4.78e-07 7.494614e-05 -1.106025e-03 1.906894e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171003 rel. change during last iteration : -1.02721e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109061 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18942e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.49461e-05 +/- 1.115e-05 (14.88%) b = -0.00110603 +/- 0.0007819 (70.7%) c = 0.190689 +/- 0.04668 (24.48%) correlation matrix of the fit parameters: a b c a 1.000 b -0.009 1.000 c -0.572 -0.140 1.000 ******************************************************************************* Tue Feb 4 14:36:39 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7136867496e-02 0.00e+00 5.50e-05 7.494614e-05 -1.106025e-03 1.906894e-01 2 1.7117718464e-02 -2.20e-05 5.50e-07 9.077526e-05 1.110402e-04 4.861339e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171177 rel. change during last iteration : -2.20181e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109116 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19063e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.07753e-05 +/- 1.179e-05 (12.99%) b = 0.00011104 +/- 0.0006667 (600.4%) c = 0.0486134 +/- 0.03986 (81.99%) correlation matrix of the fit parameters: a b c a 1.000 b 0.013 1.000 c -0.634 -0.099 1.000 ******************************************************************************* Tue Feb 4 14:36:39 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7109357562e-02 0.00e+00 5.29e-05 9.077526e-05 1.110402e-04 4.861339e-02 2 1.7084672117e-02 -1.60e-01 5.29e-07 6.542458e-05 1.267199e-03 2.465944e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170847 rel. change during last iteration : -1.60307e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109011 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18833e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.54246e-05 +/- 1.118e-05 (17.09%) b = 0.0012672 +/- 0.0007597 (59.95%) c = 0.246594 +/- 0.04516 (18.31%) correlation matrix of the fit parameters: a b c a 1.000 b 0.009 1.000 c -0.580 0.070 1.000 ******************************************************************************* Tue Feb 4 14:36:40 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7167626317e-02 0.00e+00 5.70e-05 6.542458e-05 1.267199e-03 2.465944e-01 2 1.7120434293e-02 -1.98e-05 5.70e-07 9.970067e-05 -4.567961e-05 1.780117e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171204 rel. change during last iteration : -1.98358e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109125 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19082e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.97007e-05 +/- 1.164e-05 (11.68%) b = -4.56796e-05 +/- 0.0006814 (1492%) c = 0.00178012 +/- 0.04018 (2257%) correlation matrix of the fit parameters: a b c a 1.000 b -0.002 1.000 c -0.620 0.111 1.000 ******************************************************************************* Tue Feb 4 14:36:41 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7120054180e-02 0.00e+00 5.76e-05 9.970067e-05 -4.567961e-05 1.780117e-03 3 1.7079622307e-02 -2.68e-02 5.76e-08 6.060789e-05 -9.934378e-04 2.545939e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170796 rel. change during last iteration : -2.67748e-07 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00108995 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18798e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.06079e-05 +/- 1.144e-05 (18.88%) b = -0.000993438 +/- 0.0007283 (73.31%) c = 0.254594 +/- 0.04457 (17.51%) correlation matrix of the fit parameters: a b c a 1.000 b -0.018 1.000 c -0.607 0.011 1.000 ******************************************************************************* Tue Feb 4 14:36:42 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7165059177e-02 0.00e+00 5.44e-05 6.060789e-05 -9.934378e-04 2.545939e-01 2 1.7121688573e-02 -2.92e-05 5.44e-07 9.869645e-05 8.862047e-05 7.511099e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171217 rel. change during last iteration : -2.92309e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109129 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19091e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.86965e-05 +/- 1.151e-05 (11.66%) b = 8.86205e-05 +/- 0.0007027 (792.9%) c = 0.0075111 +/- 0.04149 (552.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.006 1.000 c -0.609 -0.105 1.000 ******************************************************************************* Tue Feb 4 14:36:43 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7118246085e-02 0.00e+00 5.70e-05 9.869645e-05 8.862047e-05 7.511099e-03 3 1.7097705657e-02 -1.93e-06 5.70e-08 7.246231e-05 1.454192e-03 1.634420e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170977 rel. change during last iteration : -1.92564e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109052 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.24623e-05 +/- 1.164e-05 (16.06%) b = 0.00145419 +/- 0.000708 (48.68%) c = 0.163442 +/- 0.04387 (26.84%) correlation matrix of the fit parameters: a b c a 1.000 b 0.016 1.000 c -0.624 -0.062 1.000 ******************************************************************************* Tue Feb 4 14:36:44 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 9944 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 9.2180545479e-03 0.00e+00 5.10e-05 7.246231e-05 1.454192e-03 1.634420e-01 2 6.0963244310e-03 -4.56e-04 5.10e-07 6.994957e-04 1.205436e-03 -2.782447e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.00609632 rel. change during last iteration : -4.56156e-09 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000783103 variance of residuals (reduced chisquare) = WSSR/ndf : 6.13251e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000699496 +/- 9.843e-06 (1.407%) b = 0.00120544 +/- 0.0006021 (49.95%) c = -0.278245 +/- 0.03462 (12.44%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.601 0.086 1.000 ******************************************************************************* Tue Feb 4 14:36:45 2025 FIT: data read from file[i] u 6:9 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 2.8395334803e-02 0.00e+00 4.07e-04 6.994957e-04 1.205436e-03 -2.782447e-01 2 2.4121343760e-02 -1.27e-01 4.07e-06 1.336032e-04 -1.790203e-03 1.222966e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0241213 rel. change during last iteration : -1.26797e-06 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011739 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37805e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000133603 +/- 1.149e-05 (8.598%) b = -0.0017902 +/- 0.0006218 (34.73%) c = 0.122297 +/- 0.03549 (29.02%) correlation matrix of the fit parameters: a b c a 1.000 b -0.028 1.000 c -0.634 0.109 1.000 ******************************************************************************* Tue Feb 4 14:36:45 2025 FIT: data read from file[i] u 6:9 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 2.0886387788e-02 0.00e+00 8.36e-05 1.336032e-04 -1.790203e-03 1.222966e-01 2 2.0880995941e-02 -4.77e-06 8.36e-07 1.215499e-04 -9.137497e-04 1.285695e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.020881 rel. change during last iteration : -4.7673e-11 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00113585 variance of residuals (reduced chisquare) = WSSR/ndf : 1.29014e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00012155 +/- 1.171e-05 (9.637%) b = -0.00091375 +/- 0.000579 (63.36%) c = 0.12857 +/- 0.03063 (23.83%) correlation matrix of the fit parameters: a b c a 1.000 b -0.040 1.000 c -0.640 0.210 1.000 ******************************************************************************* Tue Feb 4 14:36:46 2025 FIT: data read from file[i] u 6:9 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 1.8491936287e-02 0.00e+00 7.52e-05 1.215499e-04 -9.137497e-04 1.285695e-01 2 1.8464168009e-02 -4.17e-04 7.52e-07 8.167174e-05 1.238677e-03 2.145968e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0184642 rel. change during last iteration : -4.17074e-09 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110981 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23168e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.16717e-05 +/- 1.155e-05 (14.15%) b = 0.00123868 +/- 0.0006462 (52.17%) c = 0.214597 +/- 0.03415 (15.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.031 1.000 c -0.606 0.261 1.000 ******************************************************************************* Tue Feb 4 14:36:47 2025 FIT: data read from file[i] u 6:9 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 1.8287770537e-02 0.00e+00 5.81e-05 8.167174e-05 1.238677e-03 2.145968e-01 2 1.8251346619e-02 -2.47e-04 5.81e-07 7.883918e-05 5.112726e-03 4.071145e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0182513 rel. change during last iteration : -2.47268e-09 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110658 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22451e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.88392e-05 +/- 1.107e-05 (14.04%) b = 0.00511273 +/- 0.0008409 (16.45%) c = 0.407115 +/- 0.04565 (11.21%) correlation matrix of the fit parameters: a b c a 1.000 b 0.030 1.000 c -0.514 0.399 1.000 ******************************************************************************* Tue Feb 4 14:36:48 2025 FIT: data read from file[i] u 6:9 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 1.7502654513e-02 0.00e+00 7.87e-05 7.883918e-05 5.112726e-03 4.071145e-01 2 1.7498726377e-02 -6.19e-07 7.87e-07 7.677217e-05 6.621276e-03 4.238386e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174987 rel. change during last iteration : -6.19351e-12 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109711 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20365e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67722e-05 +/- 1.134e-05 (14.77%) b = 0.00662128 +/- 0.0009557 (14.43%) c = 0.423839 +/- 0.05615 (13.25%) correlation matrix of the fit parameters: a b c a 1.000 b 0.041 1.000 c -0.502 0.482 1.000 ******************************************************************************* Tue Feb 4 14:36:49 2025 FIT: data read from file[i] u 6:9 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 1.7540651558e-02 0.00e+00 9.31e-05 7.677217e-05 6.621276e-03 4.238386e-01 2 1.7494760902e-02 -8.24e-06 9.31e-07 1.012006e-04 3.652666e-03 1.201664e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174948 rel. change during last iteration : -8.24052e-11 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109789 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20537e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000101201 +/- 1.16e-05 (11.46%) b = 0.00365267 +/- 0.0008807 (24.11%) c = 0.120166 +/- 0.05059 (42.1%) correlation matrix of the fit parameters: a b c a 1.000 b -0.037 1.000 c -0.548 0.516 1.000 ******************************************************************************* Tue Feb 4 14:36:50 2025 FIT: data read from file[i] u 6:9 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 1.7304256274e-02 0.00e+00 7.06e-05 1.012006e-04 3.652666e-03 1.201664e-01 2 1.7286653407e-02 -1.68e-05 7.06e-07 1.028827e-04 1.405247e-03 7.335737e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172867 rel. change during last iteration : -1.68148e-10 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109627 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2018e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000102883 +/- 1.18e-05 (11.47%) b = 0.00140525 +/- 0.0007303 (51.97%) c = 0.00733574 +/- 0.03833 (522.5%) correlation matrix of the fit parameters: a b c a 1.000 b -0.096 1.000 c -0.595 0.481 1.000 ******************************************************************************* Tue Feb 4 14:36:50 2025 FIT: data read from file[i] u 6:9 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 1.7239837047e-02 0.00e+00 6.07e-05 1.028827e-04 1.405247e-03 7.335737e-03 2 1.7237883613e-02 -7.76e-03 6.07e-07 9.456751e-05 8.792825e-04 2.584511e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172379 rel. change during last iteration : -7.76351e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109517 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19941e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.45675e-05 +/- 1.179e-05 (12.47%) b = 0.000879282 +/- 0.0006656 (75.7%) c = 0.0258451 +/- 0.03385 (131%) correlation matrix of the fit parameters: a b c a 1.000 b -0.112 1.000 c -0.611 0.423 1.000 ******************************************************************************* Tue Feb 4 14:36:51 2025 FIT: data read from file[i] u 6:9 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 1.7133884706e-02 0.00e+00 5.53e-05 9.456751e-05 8.792825e-04 2.584511e-02 2 1.7124441554e-02 -1.10e-03 5.53e-07 7.422632e-05 8.041779e-04 1.184210e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171244 rel. change during last iteration : -1.09889e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109412 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19709e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.42263e-05 +/- 1.135e-05 (15.29%) b = 0.000804178 +/- 0.0006988 (86.9%) c = 0.118421 +/- 0.03565 (30.11%) correlation matrix of the fit parameters: a b c a 1.000 b -0.069 1.000 c -0.577 0.340 1.000 ******************************************************************************* Tue Feb 4 14:36:52 2025 FIT: data read from file[i] u 6:9 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 1.7087497674e-02 0.00e+00 4.63e-05 7.422632e-05 8.041779e-04 1.184210e-01 2 1.7075520455e-02 -3.17e-05 4.63e-07 6.401591e-05 -1.582342e-04 2.320174e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170755 rel. change during last iteration : -3.16559e-10 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109297 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19459e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.40159e-05 +/- 1.094e-05 (17.09%) b = -0.000158234 +/- 0.0008215 (519.2%) c = 0.232017 +/- 0.04614 (19.89%) correlation matrix of the fit parameters: a b c a 1.000 b -0.042 1.000 c -0.540 0.256 1.000 ******************************************************************************* Tue Feb 4 14:36:52 2025 FIT: data read from file[i] u 6:9 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 1.7060304304e-02 0.00e+00 4.70e-05 6.401591e-05 -1.582342e-04 2.320174e-01 2 1.7056436584e-02 -3.35e-02 4.70e-07 5.979769e-05 -1.352137e-03 2.746866e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170564 rel. change during last iteration : -3.35031e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109294 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19451e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.97977e-05 +/- 1.129e-05 (18.87%) b = -0.00135214 +/- 0.0008222 (60.8%) c = 0.274687 +/- 0.0525 (19.11%) correlation matrix of the fit parameters: a b c a 1.000 b -0.054 1.000 c -0.585 0.151 1.000 ******************************************************************************* Tue Feb 4 14:36:53 2025 FIT: data read from file[i] u 6:9 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 1.7112139386e-02 0.00e+00 6.05e-05 5.979769e-05 -1.352137e-03 2.746866e-01 2 1.7074869110e-02 -3.36e-06 6.05e-07 7.942836e-05 -8.779388e-04 7.548551e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170749 rel. change during last iteration : -3.35914e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109353 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1958e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.94284e-05 +/- 1.206e-05 (15.19%) b = -0.000877939 +/- 0.0006497 (74.01%) c = 0.0754855 +/- 0.03954 (52.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.651 0.041 1.000 ******************************************************************************* Tue Feb 4 14:36:54 2025 FIT: data read from file[i] u 6:9 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 1.7090349544e-02 0.00e+00 4.83e-05 7.942836e-05 -8.779388e-04 7.548551e-02 2 1.7088516305e-02 -1.44e-05 4.83e-07 7.990200e-05 -4.299834e-05 8.049378e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170885 rel. change during last iteration : -1.43968e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109396 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19676e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.9902e-05 +/- 1.152e-05 (14.42%) b = -4.29983e-05 +/- 0.0006747 (1569%) c = 0.0804938 +/- 0.0372 (46.22%) correlation matrix of the fit parameters: a b c a 1.000 b 0.020 1.000 c -0.600 0.117 1.000 ******************************************************************************* Tue Feb 4 14:36:55 2025 FIT: data read from file[i] u 6:9 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 1.7072169274e-02 0.00e+00 4.73e-05 7.990200e-05 -4.299834e-05 8.049378e-02 3 1.7054728189e-02 -5.89e-04 4.73e-08 6.992001e-05 2.597161e-03 2.326379e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170547 rel. change during last iteration : -5.89252e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109288 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19439e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.992e-05 +/- 1.147e-05 (16.41%) b = 0.00259716 +/- 0.000834 (32.11%) c = 0.232638 +/- 0.05268 (22.64%) correlation matrix of the fit parameters: a b c a 1.000 b 0.012 1.000 c -0.577 0.277 1.000 ******************************************************************************* Tue Feb 4 14:37:04 2025 FIT: data read from file[i] u 6:9 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 1.7119251027e-02 0.00e+00 6.36e-05 6.992001e-05 2.597161e-03 2.326379e-01 2 1.7086796886e-02 -4.47e-06 6.36e-07 8.048541e-05 7.611199e-04 7.487037e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170868 rel. change during last iteration : -4.47009e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109391 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19664e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.04854e-05 +/- 1.179e-05 (14.65%) b = 0.00076112 +/- 0.0006536 (85.87%) c = 0.0748704 +/- 0.03655 (48.82%) correlation matrix of the fit parameters: a b c a 1.000 b -0.072 1.000 c -0.627 0.212 1.000 ******************************************************************************* Tue Feb 4 14:37:08 2025 FIT: data read from file[i] u 6:9 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 1.7074974820e-02 0.00e+00 4.77e-05 8.048541e-05 7.611199e-04 7.487037e-02 2 1.7057216293e-02 -2.57e-04 4.77e-07 6.767485e-05 -1.234091e-03 2.288997e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170572 rel. change during last iteration : -2.57062e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109296 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19457e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.76749e-05 +/- 1.117e-05 (16.5%) b = -0.00123409 +/- 0.0008232 (66.7%) c = 0.2289 +/- 0.05156 (22.52%) correlation matrix of the fit parameters: a b c a 1.000 b -0.044 1.000 c -0.571 -0.015 1.000 ******************************************************************************* Tue Feb 4 14:38:27 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 15319 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 1.9088065339e-02 0.00e+00 6.51e-05 6.767485e-05 -1.234091e-03 2.288997e-01 2 1.8984208237e-02 -2.28e-04 6.51e-07 1.254995e-04 3.002419e-03 1.344260e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0189842 rel. change during last iteration : -2.28451e-09 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111333 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2395e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0001255 +/- 1.157e-05 (9.217%) b = 0.00300242 +/- 0.0006312 (21.02%) c = 0.134426 +/- 0.03206 (23.85%) correlation matrix of the fit parameters: a b c a 1.000 b -0.077 1.000 c -0.611 0.354 1.000 ******************************************************************************* Tue Feb 4 14:38:29 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14654 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 1.7574210280e-02 0.00e+00 7.76e-05 1.254995e-04 3.002419e-03 1.344260e-01 2 1.7546548594e-02 -1.18e-04 7.76e-07 8.109350e-05 4.929284e-03 3.646515e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175465 rel. change during last iteration : -1.17847e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109437 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19763e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.10935e-05 +/- 1.123e-05 (13.85%) b = 0.00492928 +/- 0.0009505 (19.28%) c = 0.364652 +/- 0.05442 (14.92%) correlation matrix of the fit parameters: a b c a 1.000 b 0.040 1.000 c -0.493 0.502 1.000 ******************************************************************************* Tue Feb 4 14:38:30 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14470 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 1.7512687839e-02 0.00e+00 9.51e-05 8.109350e-05 4.929284e-03 3.646515e-01 2 1.7274317306e-02 -1.69e-05 9.51e-07 9.712712e-05 -1.206045e-03 1.628643e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172743 rel. change during last iteration : -1.69232e-10 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109273 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19405e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.71271e-05 +/- 1.21e-05 (12.45%) b = -0.00120604 +/- 0.0006186 (51.29%) c = 0.0162864 +/- 0.03625 (222.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.029 1.000 c -0.656 0.151 1.000 ******************************************************************************* Tue Feb 4 14:38:31 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14391 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 1.7128024887e-02 0.00e+00 5.67e-05 9.712712e-05 -1.206045e-03 1.628643e-02 2 1.7095117013e-02 -6.40e-02 5.67e-07 7.099751e-05 1.535790e-03 2.251290e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170951 rel. change during last iteration : -6.40109e-07 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109002 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18815e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.09975e-05 +/- 1.093e-05 (15.39%) b = 0.00153579 +/- 0.0007995 (52.05%) c = 0.225129 +/- 0.04556 (20.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.021 1.000 c -0.549 0.196 1.000 ******************************************************************************* Tue Feb 4 14:38:32 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7146267220e-02 0.00e+00 6.17e-05 7.099751e-05 1.535790e-03 2.251290e-01 2 1.7105895126e-02 -2.49e-06 6.17e-07 9.499310e-05 2.010674e-03 4.304933e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171059 rel. change during last iteration : -2.49059e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109078 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18981e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.49931e-05 +/- 1.18e-05 (12.42%) b = 0.00201067 +/- 0.0006556 (32.61%) c = 0.0430493 +/- 0.03623 (84.15%) correlation matrix of the fit parameters: a b c a 1.000 b -0.091 1.000 c -0.629 0.301 1.000 ******************************************************************************* Tue Feb 4 14:38:33 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7115004959e-02 0.00e+00 5.79e-05 9.499310e-05 2.010674e-03 4.304933e-02 2 1.7114227996e-02 -1.33e-05 5.79e-07 8.827555e-05 1.840707e-03 6.786509e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171142 rel. change during last iteration : -1.32515e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109105 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19039e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.82755e-05 +/- 1.175e-05 (13.31%) b = 0.00184071 +/- 0.0006502 (35.32%) c = 0.0678651 +/- 0.03664 (53.99%) correlation matrix of the fit parameters: a b c a 1.000 b -0.069 1.000 c -0.629 0.210 1.000 ******************************************************************************* Tue Feb 4 14:38:35 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7106934726e-02 0.00e+00 5.41e-05 8.827555e-05 1.840707e-03 6.786509e-02 2 1.7104933660e-02 -6.91e-06 5.41e-07 8.016894e-05 1.517088e-03 1.143965e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171049 rel. change during last iteration : -6.91379e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109075 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18974e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.01689e-05 +/- 1.136e-05 (14.18%) b = 0.00151709 +/- 0.0006918 (45.6%) c = 0.114396 +/- 0.03931 (34.36%) correlation matrix of the fit parameters: a b c a 1.000 b -0.031 1.000 c -0.599 0.052 1.000 ******************************************************************************* Tue Feb 4 14:38:37 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7107280652e-02 0.00e+00 4.96e-05 8.016894e-05 1.517088e-03 1.143965e-01 2 1.7097702662e-02 -1.92e-05 4.96e-07 7.296935e-05 -3.441998e-04 2.121032e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170977 rel. change during last iteration : -1.923e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109052 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.29694e-05 +/- 1.118e-05 (15.33%) b = -0.0003442 +/- 0.0008095 (235.2%) c = 0.212103 +/- 0.05032 (23.73%) correlation matrix of the fit parameters: a b c a 1.000 b -0.013 1.000 c -0.574 -0.143 1.000 ******************************************************************************* Tue Feb 4 14:38:39 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7145326856e-02 0.00e+00 5.57e-05 7.296935e-05 -3.441998e-04 2.121032e-01 2 1.7118881854e-02 -6.33e-04 5.57e-07 9.311679e-05 -1.002827e-03 4.238648e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171189 rel. change during last iteration : -6.33402e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010912 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19071e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.31168e-05 +/- 1.187e-05 (12.75%) b = -0.00100283 +/- 0.0006689 (66.7%) c = 0.0423865 +/- 0.04043 (95.39%) correlation matrix of the fit parameters: a b c a 1.000 b 0.028 1.000 c -0.639 -0.144 1.000 ******************************************************************************* Tue Feb 4 14:38:40 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7111029089e-02 0.00e+00 5.46e-05 9.311679e-05 -1.002827e-03 4.238648e-02 2 1.7095335086e-02 -6.50e-04 5.46e-07 6.915317e-05 -4.304938e-04 1.989361e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170953 rel. change during last iteration : -6.50459e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109045 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18908e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.91532e-05 +/- 1.129e-05 (16.33%) b = -0.000430494 +/- 0.0007359 (170.9%) c = 0.198936 +/- 0.04358 (21.91%) correlation matrix of the fit parameters: a b c a 1.000 b 0.009 1.000 c -0.591 0.066 1.000 ******************************************************************************* Tue Feb 4 14:38:43 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7125837754e-02 0.00e+00 4.96e-05 6.915317e-05 -4.304938e-04 1.989361e-01 2 1.7115203721e-02 -4.69e-04 4.96e-07 8.719445e-05 5.595232e-04 8.982705e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171152 rel. change during last iteration : -4.69111e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109108 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19046e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.71945e-05 +/- 1.143e-05 (13.11%) b = 0.000559523 +/- 0.0007513 (134.3%) c = 0.089827 +/- 0.04554 (50.7%) correlation matrix of the fit parameters: a b c a 1.000 b -0.002 1.000 c -0.596 0.183 1.000 ******************************************************************************* Tue Feb 4 14:38:44 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7111604385e-02 0.00e+00 5.27e-05 8.719445e-05 5.595232e-04 8.982705e-02 2 1.7109845551e-02 -3.48e-05 5.27e-07 7.689086e-05 1.181742e-04 1.271709e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171098 rel. change during last iteration : -3.48467e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109091 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19008e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68909e-05 +/- 1.172e-05 (15.24%) b = 0.000118174 +/- 0.000675 (571.2%) c = 0.127171 +/- 0.04058 (31.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.014 1.000 c -0.630 0.053 1.000 ******************************************************************************* Tue Feb 4 14:38:45 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7105219745e-02 0.00e+00 4.78e-05 7.689086e-05 1.181742e-04 1.271709e-01 2 1.7100310934e-02 -1.03e-01 4.78e-07 7.494614e-05 -1.106025e-03 1.906894e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171003 rel. change during last iteration : -1.02721e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109061 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18942e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.49461e-05 +/- 1.115e-05 (14.88%) b = -0.00110603 +/- 0.0007819 (70.7%) c = 0.190689 +/- 0.04668 (24.48%) correlation matrix of the fit parameters: a b c a 1.000 b -0.009 1.000 c -0.572 -0.140 1.000 ******************************************************************************* Tue Feb 4 14:38:47 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7136867496e-02 0.00e+00 5.50e-05 7.494614e-05 -1.106025e-03 1.906894e-01 2 1.7117718464e-02 -2.20e-05 5.50e-07 9.077526e-05 1.110402e-04 4.861339e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171177 rel. change during last iteration : -2.20181e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109116 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19063e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.07753e-05 +/- 1.179e-05 (12.99%) b = 0.00011104 +/- 0.0006667 (600.4%) c = 0.0486134 +/- 0.03986 (81.99%) correlation matrix of the fit parameters: a b c a 1.000 b 0.013 1.000 c -0.634 -0.099 1.000 ******************************************************************************* Tue Feb 4 14:38:48 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7109357562e-02 0.00e+00 5.29e-05 9.077526e-05 1.110402e-04 4.861339e-02 2 1.7084672117e-02 -1.60e-01 5.29e-07 6.542458e-05 1.267199e-03 2.465944e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170847 rel. change during last iteration : -1.60307e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109011 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18833e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.54246e-05 +/- 1.118e-05 (17.09%) b = 0.0012672 +/- 0.0007597 (59.95%) c = 0.246594 +/- 0.04516 (18.31%) correlation matrix of the fit parameters: a b c a 1.000 b 0.009 1.000 c -0.580 0.070 1.000 ******************************************************************************* Tue Feb 4 14:38:51 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7167626317e-02 0.00e+00 5.70e-05 6.542458e-05 1.267199e-03 2.465944e-01 2 1.7120434293e-02 -1.98e-05 5.70e-07 9.970067e-05 -4.567961e-05 1.780117e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171204 rel. change during last iteration : -1.98358e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109125 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19082e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.97007e-05 +/- 1.164e-05 (11.68%) b = -4.56796e-05 +/- 0.0006814 (1492%) c = 0.00178012 +/- 0.04018 (2257%) correlation matrix of the fit parameters: a b c a 1.000 b -0.002 1.000 c -0.620 0.111 1.000 ******************************************************************************* Tue Feb 4 14:38:52 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7120054180e-02 0.00e+00 5.76e-05 9.970067e-05 -4.567961e-05 1.780117e-03 3 1.7079622307e-02 -2.68e-02 5.76e-08 6.060789e-05 -9.934378e-04 2.545939e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170796 rel. change during last iteration : -2.67748e-07 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00108995 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18798e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.06079e-05 +/- 1.144e-05 (18.88%) b = -0.000993438 +/- 0.0007283 (73.31%) c = 0.254594 +/- 0.04457 (17.51%) correlation matrix of the fit parameters: a b c a 1.000 b -0.018 1.000 c -0.607 0.011 1.000 ******************************************************************************* Tue Feb 4 14:38:54 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7165059177e-02 0.00e+00 5.44e-05 6.060789e-05 -9.934378e-04 2.545939e-01 2 1.7121688573e-02 -2.92e-05 5.44e-07 9.869645e-05 8.862047e-05 7.511099e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171217 rel. change during last iteration : -2.92309e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109129 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19091e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.86965e-05 +/- 1.151e-05 (11.66%) b = 8.86205e-05 +/- 0.0007027 (792.9%) c = 0.0075111 +/- 0.04149 (552.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.006 1.000 c -0.609 -0.105 1.000 ******************************************************************************* Tue Feb 4 14:38:57 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7118246085e-02 0.00e+00 5.70e-05 9.869645e-05 8.862047e-05 7.511099e-03 3 1.7097705657e-02 -1.93e-06 5.70e-08 7.246231e-05 1.454192e-03 1.634420e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170977 rel. change during last iteration : -1.92564e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109052 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.24623e-05 +/- 1.164e-05 (16.06%) b = 0.00145419 +/- 0.000708 (48.68%) c = 0.163442 +/- 0.04387 (26.84%) correlation matrix of the fit parameters: a b c a 1.000 b 0.016 1.000 c -0.624 -0.062 1.000 ******************************************************************************* Tue Feb 4 14:38:58 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 9944 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 9.2180545479e-03 0.00e+00 5.10e-05 7.246231e-05 1.454192e-03 1.634420e-01 2 6.0963244310e-03 -4.56e-04 5.10e-07 6.994957e-04 1.205436e-03 -2.782447e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.00609632 rel. change during last iteration : -4.56156e-09 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000783103 variance of residuals (reduced chisquare) = WSSR/ndf : 6.13251e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000699496 +/- 9.843e-06 (1.407%) b = 0.00120544 +/- 0.0006021 (49.95%) c = -0.278245 +/- 0.03462 (12.44%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.601 0.086 1.000 ******************************************************************************* Tue Feb 4 14:38:59 2025 FIT: data read from file[i] u 6:9 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 2.8395334803e-02 0.00e+00 4.07e-04 6.994957e-04 1.205436e-03 -2.782447e-01 2 2.4121343760e-02 -1.27e-01 4.07e-06 1.336032e-04 -1.790203e-03 1.222966e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0241213 rel. change during last iteration : -1.26797e-06 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011739 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37805e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000133603 +/- 1.149e-05 (8.598%) b = -0.0017902 +/- 0.0006218 (34.73%) c = 0.122297 +/- 0.03549 (29.02%) correlation matrix of the fit parameters: a b c a 1.000 b -0.028 1.000 c -0.634 0.109 1.000 ******************************************************************************* Tue Feb 4 14:39:01 2025 FIT: data read from file[i] u 6:9 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 2.0886387788e-02 0.00e+00 8.36e-05 1.336032e-04 -1.790203e-03 1.222966e-01 2 2.0880995941e-02 -4.77e-06 8.36e-07 1.215499e-04 -9.137497e-04 1.285695e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.020881 rel. change during last iteration : -4.7673e-11 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00113585 variance of residuals (reduced chisquare) = WSSR/ndf : 1.29014e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00012155 +/- 1.171e-05 (9.637%) b = -0.00091375 +/- 0.000579 (63.36%) c = 0.12857 +/- 0.03063 (23.83%) correlation matrix of the fit parameters: a b c a 1.000 b -0.040 1.000 c -0.640 0.210 1.000 ******************************************************************************* Tue Feb 4 14:39:03 2025 FIT: data read from file[i] u 6:9 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 1.8491936287e-02 0.00e+00 7.52e-05 1.215499e-04 -9.137497e-04 1.285695e-01 2 1.8464168009e-02 -4.17e-04 7.52e-07 8.167174e-05 1.238677e-03 2.145968e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0184642 rel. change during last iteration : -4.17074e-09 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110981 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23168e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.16717e-05 +/- 1.155e-05 (14.15%) b = 0.00123868 +/- 0.0006462 (52.17%) c = 0.214597 +/- 0.03415 (15.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.031 1.000 c -0.606 0.261 1.000 ******************************************************************************* Tue Feb 4 14:39:05 2025 FIT: data read from file[i] u 6:9 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 1.8287770537e-02 0.00e+00 5.81e-05 8.167174e-05 1.238677e-03 2.145968e-01 2 1.8251346619e-02 -2.47e-04 5.81e-07 7.883918e-05 5.112726e-03 4.071145e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0182513 rel. change during last iteration : -2.47268e-09 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110658 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22451e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.88392e-05 +/- 1.107e-05 (14.04%) b = 0.00511273 +/- 0.0008409 (16.45%) c = 0.407115 +/- 0.04565 (11.21%) correlation matrix of the fit parameters: a b c a 1.000 b 0.030 1.000 c -0.514 0.399 1.000 ******************************************************************************* Tue Feb 4 14:39:06 2025 FIT: data read from file[i] u 6:9 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 1.7502654513e-02 0.00e+00 7.87e-05 7.883918e-05 5.112726e-03 4.071145e-01 2 1.7498726377e-02 -6.19e-07 7.87e-07 7.677217e-05 6.621276e-03 4.238386e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174987 rel. change during last iteration : -6.19351e-12 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109711 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20365e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67722e-05 +/- 1.134e-05 (14.77%) b = 0.00662128 +/- 0.0009557 (14.43%) c = 0.423839 +/- 0.05615 (13.25%) correlation matrix of the fit parameters: a b c a 1.000 b 0.041 1.000 c -0.502 0.482 1.000 ******************************************************************************* Tue Feb 4 14:39:08 2025 FIT: data read from file[i] u 6:9 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 1.7540651558e-02 0.00e+00 9.31e-05 7.677217e-05 6.621276e-03 4.238386e-01 2 1.7494760902e-02 -8.24e-06 9.31e-07 1.012006e-04 3.652666e-03 1.201664e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174948 rel. change during last iteration : -8.24052e-11 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109789 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20537e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000101201 +/- 1.16e-05 (11.46%) b = 0.00365267 +/- 0.0008807 (24.11%) c = 0.120166 +/- 0.05059 (42.1%) correlation matrix of the fit parameters: a b c a 1.000 b -0.037 1.000 c -0.548 0.516 1.000 ******************************************************************************* Tue Feb 4 14:39:09 2025 FIT: data read from file[i] u 6:9 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 1.7304256274e-02 0.00e+00 7.06e-05 1.012006e-04 3.652666e-03 1.201664e-01 2 1.7286653407e-02 -1.68e-05 7.06e-07 1.028827e-04 1.405247e-03 7.335737e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172867 rel. change during last iteration : -1.68148e-10 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109627 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2018e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000102883 +/- 1.18e-05 (11.47%) b = 0.00140525 +/- 0.0007303 (51.97%) c = 0.00733574 +/- 0.03833 (522.5%) correlation matrix of the fit parameters: a b c a 1.000 b -0.096 1.000 c -0.595 0.481 1.000 ******************************************************************************* Tue Feb 4 14:39:11 2025 FIT: data read from file[i] u 6:9 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 1.7239837047e-02 0.00e+00 6.07e-05 1.028827e-04 1.405247e-03 7.335737e-03 2 1.7237883613e-02 -7.76e-03 6.07e-07 9.456751e-05 8.792825e-04 2.584511e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172379 rel. change during last iteration : -7.76351e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109517 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19941e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.45675e-05 +/- 1.179e-05 (12.47%) b = 0.000879282 +/- 0.0006656 (75.7%) c = 0.0258451 +/- 0.03385 (131%) correlation matrix of the fit parameters: a b c a 1.000 b -0.112 1.000 c -0.611 0.423 1.000 ******************************************************************************* Tue Feb 4 14:39:15 2025 FIT: data read from file[i] u 6:9 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 1.7133884706e-02 0.00e+00 5.53e-05 9.456751e-05 8.792825e-04 2.584511e-02 2 1.7124441554e-02 -1.10e-03 5.53e-07 7.422632e-05 8.041779e-04 1.184210e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171244 rel. change during last iteration : -1.09889e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109412 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19709e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.42263e-05 +/- 1.135e-05 (15.29%) b = 0.000804178 +/- 0.0006988 (86.9%) c = 0.118421 +/- 0.03565 (30.11%) correlation matrix of the fit parameters: a b c a 1.000 b -0.069 1.000 c -0.577 0.340 1.000 ******************************************************************************* Tue Feb 4 14:39:17 2025 FIT: data read from file[i] u 6:9 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 1.7087497674e-02 0.00e+00 4.63e-05 7.422632e-05 8.041779e-04 1.184210e-01 2 1.7075520455e-02 -3.17e-05 4.63e-07 6.401591e-05 -1.582342e-04 2.320174e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170755 rel. change during last iteration : -3.16559e-10 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109297 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19459e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.40159e-05 +/- 1.094e-05 (17.09%) b = -0.000158234 +/- 0.0008215 (519.2%) c = 0.232017 +/- 0.04614 (19.89%) correlation matrix of the fit parameters: a b c a 1.000 b -0.042 1.000 c -0.540 0.256 1.000 ******************************************************************************* Tue Feb 4 14:39:21 2025 FIT: data read from file[i] u 6:9 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 1.7060304304e-02 0.00e+00 4.70e-05 6.401591e-05 -1.582342e-04 2.320174e-01 2 1.7056436584e-02 -3.35e-02 4.70e-07 5.979769e-05 -1.352137e-03 2.746866e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170564 rel. change during last iteration : -3.35031e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109294 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19451e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.97977e-05 +/- 1.129e-05 (18.87%) b = -0.00135214 +/- 0.0008222 (60.8%) c = 0.274687 +/- 0.0525 (19.11%) correlation matrix of the fit parameters: a b c a 1.000 b -0.054 1.000 c -0.585 0.151 1.000 ******************************************************************************* Tue Feb 4 14:39:23 2025 FIT: data read from file[i] u 6:9 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 1.7112139386e-02 0.00e+00 6.05e-05 5.979769e-05 -1.352137e-03 2.746866e-01 2 1.7074869110e-02 -3.36e-06 6.05e-07 7.942836e-05 -8.779388e-04 7.548551e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170749 rel. change during last iteration : -3.35914e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109353 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1958e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.94284e-05 +/- 1.206e-05 (15.19%) b = -0.000877939 +/- 0.0006497 (74.01%) c = 0.0754855 +/- 0.03954 (52.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.651 0.041 1.000 ******************************************************************************* Tue Feb 4 14:39:26 2025 FIT: data read from file[i] u 6:9 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 1.7090349544e-02 0.00e+00 4.83e-05 7.942836e-05 -8.779388e-04 7.548551e-02 2 1.7088516305e-02 -1.44e-05 4.83e-07 7.990200e-05 -4.299834e-05 8.049378e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170885 rel. change during last iteration : -1.43968e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109396 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19676e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.9902e-05 +/- 1.152e-05 (14.42%) b = -4.29983e-05 +/- 0.0006747 (1569%) c = 0.0804938 +/- 0.0372 (46.22%) correlation matrix of the fit parameters: a b c a 1.000 b 0.020 1.000 c -0.600 0.117 1.000 ******************************************************************************* Tue Feb 4 14:39:30 2025 FIT: data read from file[i] u 6:9 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 1.7072169274e-02 0.00e+00 4.73e-05 7.990200e-05 -4.299834e-05 8.049378e-02 3 1.7054728189e-02 -5.89e-04 4.73e-08 6.992001e-05 2.597161e-03 2.326379e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170547 rel. change during last iteration : -5.89252e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109288 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19439e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.992e-05 +/- 1.147e-05 (16.41%) b = 0.00259716 +/- 0.000834 (32.11%) c = 0.232638 +/- 0.05268 (22.64%) correlation matrix of the fit parameters: a b c a 1.000 b 0.012 1.000 c -0.577 0.277 1.000 ******************************************************************************* Tue Feb 4 14:39:32 2025 FIT: data read from file[i] u 6:9 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 1.7119251027e-02 0.00e+00 6.36e-05 6.992001e-05 2.597161e-03 2.326379e-01 2 1.7086796886e-02 -4.47e-06 6.36e-07 8.048541e-05 7.611199e-04 7.487037e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170868 rel. change during last iteration : -4.47009e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109391 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19664e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.04854e-05 +/- 1.179e-05 (14.65%) b = 0.00076112 +/- 0.0006536 (85.87%) c = 0.0748704 +/- 0.03655 (48.82%) correlation matrix of the fit parameters: a b c a 1.000 b -0.072 1.000 c -0.627 0.212 1.000 ******************************************************************************* Tue Feb 4 14:39:34 2025 FIT: data read from file[i] u 6:9 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 1.7074974820e-02 0.00e+00 4.77e-05 8.048541e-05 7.611199e-04 7.487037e-02 2 1.7057216293e-02 -2.57e-04 4.77e-07 6.767485e-05 -1.234091e-03 2.288997e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170572 rel. change during last iteration : -2.57062e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109296 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19457e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.76749e-05 +/- 1.117e-05 (16.5%) b = -0.00123409 +/- 0.0008232 (66.7%) c = 0.2289 +/- 0.05156 (22.52%) correlation matrix of the fit parameters: a b c a 1.000 b -0.044 1.000 c -0.571 -0.015 1.000 ******************************************************************************* Tue Feb 4 14:42:36 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 15319 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 1.9088065339e-02 0.00e+00 6.51e-05 6.767485e-05 -1.234091e-03 2.288997e-01 2 1.8984208237e-02 -2.28e-04 6.51e-07 1.254995e-04 3.002419e-03 1.344260e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0189842 rel. change during last iteration : -2.28451e-09 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111333 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2395e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0001255 +/- 1.157e-05 (9.217%) b = 0.00300242 +/- 0.0006312 (21.02%) c = 0.134426 +/- 0.03206 (23.85%) correlation matrix of the fit parameters: a b c a 1.000 b -0.077 1.000 c -0.611 0.354 1.000 ******************************************************************************* Tue Feb 4 14:42:38 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14654 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 1.7574210280e-02 0.00e+00 7.76e-05 1.254995e-04 3.002419e-03 1.344260e-01 2 1.7546548594e-02 -1.18e-04 7.76e-07 8.109350e-05 4.929284e-03 3.646515e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175465 rel. change during last iteration : -1.17847e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109437 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19763e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.10935e-05 +/- 1.123e-05 (13.85%) b = 0.00492928 +/- 0.0009505 (19.28%) c = 0.364652 +/- 0.05442 (14.92%) correlation matrix of the fit parameters: a b c a 1.000 b 0.040 1.000 c -0.493 0.502 1.000 ******************************************************************************* Tue Feb 4 14:42:41 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14470 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 1.7512687839e-02 0.00e+00 9.51e-05 8.109350e-05 4.929284e-03 3.646515e-01 2 1.7274317306e-02 -1.69e-05 9.51e-07 9.712712e-05 -1.206045e-03 1.628643e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172743 rel. change during last iteration : -1.69232e-10 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109273 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19405e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.71271e-05 +/- 1.21e-05 (12.45%) b = -0.00120604 +/- 0.0006186 (51.29%) c = 0.0162864 +/- 0.03625 (222.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.029 1.000 c -0.656 0.151 1.000 ******************************************************************************* Tue Feb 4 14:42:44 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14391 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 1.7128024887e-02 0.00e+00 5.67e-05 9.712712e-05 -1.206045e-03 1.628643e-02 2 1.7095117013e-02 -6.40e-02 5.67e-07 7.099751e-05 1.535790e-03 2.251290e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170951 rel. change during last iteration : -6.40109e-07 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109002 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18815e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.09975e-05 +/- 1.093e-05 (15.39%) b = 0.00153579 +/- 0.0007995 (52.05%) c = 0.225129 +/- 0.04556 (20.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.021 1.000 c -0.549 0.196 1.000 ******************************************************************************* Tue Feb 4 14:42:46 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7146267220e-02 0.00e+00 6.17e-05 7.099751e-05 1.535790e-03 2.251290e-01 2 1.7105895126e-02 -2.49e-06 6.17e-07 9.499310e-05 2.010674e-03 4.304933e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171059 rel. change during last iteration : -2.49059e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109078 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18981e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.49931e-05 +/- 1.18e-05 (12.42%) b = 0.00201067 +/- 0.0006556 (32.61%) c = 0.0430493 +/- 0.03623 (84.15%) correlation matrix of the fit parameters: a b c a 1.000 b -0.091 1.000 c -0.629 0.301 1.000 ******************************************************************************* Tue Feb 4 14:42:52 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7115004959e-02 0.00e+00 5.79e-05 9.499310e-05 2.010674e-03 4.304933e-02 2 1.7114227996e-02 -1.33e-05 5.79e-07 8.827555e-05 1.840707e-03 6.786509e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171142 rel. change during last iteration : -1.32515e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109105 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19039e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.82755e-05 +/- 1.175e-05 (13.31%) b = 0.00184071 +/- 0.0006502 (35.32%) c = 0.0678651 +/- 0.03664 (53.99%) correlation matrix of the fit parameters: a b c a 1.000 b -0.069 1.000 c -0.629 0.210 1.000 ******************************************************************************* Tue Feb 4 14:42:56 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7106934726e-02 0.00e+00 5.41e-05 8.827555e-05 1.840707e-03 6.786509e-02 2 1.7104933660e-02 -6.91e-06 5.41e-07 8.016894e-05 1.517088e-03 1.143965e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171049 rel. change during last iteration : -6.91379e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109075 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18974e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.01689e-05 +/- 1.136e-05 (14.18%) b = 0.00151709 +/- 0.0006918 (45.6%) c = 0.114396 +/- 0.03931 (34.36%) correlation matrix of the fit parameters: a b c a 1.000 b -0.031 1.000 c -0.599 0.052 1.000 ******************************************************************************* Tue Feb 4 14:43:13 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 15319 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 1.9023279861e-02 0.00e+00 5.45e-05 8.016894e-05 1.517088e-03 1.143965e-01 2 1.8984208237e-02 -6.72e-06 5.45e-07 1.254995e-04 3.002419e-03 1.344260e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0189842 rel. change during last iteration : -6.7203e-11 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111333 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2395e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.0001255 +/- 1.157e-05 (9.217%) b = 0.00300242 +/- 0.0006312 (21.02%) c = 0.134426 +/- 0.03206 (23.85%) correlation matrix of the fit parameters: a b c a 1.000 b -0.077 1.000 c -0.611 0.354 1.000 ******************************************************************************* Tue Feb 4 14:43:17 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14654 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 1.7574210280e-02 0.00e+00 7.76e-05 1.254995e-04 3.002419e-03 1.344260e-01 2 1.7546548594e-02 -1.18e-04 7.76e-07 8.109350e-05 4.929284e-03 3.646515e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175465 rel. change during last iteration : -1.17847e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109437 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19763e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.10935e-05 +/- 1.123e-05 (13.85%) b = 0.00492928 +/- 0.0009505 (19.28%) c = 0.364652 +/- 0.05442 (14.92%) correlation matrix of the fit parameters: a b c a 1.000 b 0.040 1.000 c -0.493 0.502 1.000 ******************************************************************************* Tue Feb 4 14:43:24 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14470 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 1.7512687839e-02 0.00e+00 9.51e-05 8.109350e-05 4.929284e-03 3.646515e-01 2 1.7274317306e-02 -1.69e-05 9.51e-07 9.712712e-05 -1.206045e-03 1.628643e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172743 rel. change during last iteration : -1.69232e-10 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109273 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19405e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.71271e-05 +/- 1.21e-05 (12.45%) b = -0.00120604 +/- 0.0006186 (51.29%) c = 0.0162864 +/- 0.03625 (222.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.029 1.000 c -0.656 0.151 1.000 ******************************************************************************* Tue Feb 4 14:43:45 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14654 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 1.7574210313e-02 0.00e+00 7.76e-05 1.254995e-04 3.002418e-03 1.344258e-01 2 1.7546548594e-02 -1.18e-04 7.76e-07 8.109350e-05 4.929284e-03 3.646515e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175465 rel. change during last iteration : -1.17847e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109437 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19763e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.10935e-05 +/- 1.123e-05 (13.85%) b = 0.00492928 +/- 0.0009505 (19.28%) c = 0.364652 +/- 0.05442 (14.92%) correlation matrix of the fit parameters: a b c a 1.000 b 0.040 1.000 c -0.493 0.502 1.000 ******************************************************************************* Tue Feb 4 14:43:49 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14470 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 1.7512687839e-02 0.00e+00 9.51e-05 8.109350e-05 4.929284e-03 3.646515e-01 2 1.7274317306e-02 -1.69e-05 9.51e-07 9.712712e-05 -1.206045e-03 1.628643e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172743 rel. change during last iteration : -1.69232e-10 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109273 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19405e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.71271e-05 +/- 1.21e-05 (12.45%) b = -0.00120604 +/- 0.0006186 (51.29%) c = 0.0162864 +/- 0.03625 (222.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.029 1.000 c -0.656 0.151 1.000 ******************************************************************************* Tue Feb 4 14:43:55 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14391 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 1.7128024887e-02 0.00e+00 5.67e-05 9.712712e-05 -1.206045e-03 1.628643e-02 2 1.7095117013e-02 -6.40e-02 5.67e-07 7.099751e-05 1.535790e-03 2.251290e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170951 rel. change during last iteration : -6.40109e-07 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109002 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18815e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.09975e-05 +/- 1.093e-05 (15.39%) b = 0.00153579 +/- 0.0007995 (52.05%) c = 0.225129 +/- 0.04556 (20.24%) correlation matrix of the fit parameters: a b c a 1.000 b -0.021 1.000 c -0.549 0.196 1.000 ******************************************************************************* Tue Feb 4 14:44:00 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7146267220e-02 0.00e+00 6.17e-05 7.099751e-05 1.535790e-03 2.251290e-01 2 1.7105895126e-02 -2.49e-06 6.17e-07 9.499310e-05 2.010674e-03 4.304933e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171059 rel. change during last iteration : -2.49059e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109078 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18981e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.49931e-05 +/- 1.18e-05 (12.42%) b = 0.00201067 +/- 0.0006556 (32.61%) c = 0.0430493 +/- 0.03623 (84.15%) correlation matrix of the fit parameters: a b c a 1.000 b -0.091 1.000 c -0.629 0.301 1.000 ******************************************************************************* Tue Feb 4 14:44:03 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7115004959e-02 0.00e+00 5.79e-05 9.499310e-05 2.010674e-03 4.304933e-02 2 1.7114227996e-02 -1.33e-05 5.79e-07 8.827555e-05 1.840707e-03 6.786509e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171142 rel. change during last iteration : -1.32515e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109105 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19039e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.82755e-05 +/- 1.175e-05 (13.31%) b = 0.00184071 +/- 0.0006502 (35.32%) c = 0.0678651 +/- 0.03664 (53.99%) correlation matrix of the fit parameters: a b c a 1.000 b -0.069 1.000 c -0.629 0.210 1.000 ******************************************************************************* Tue Feb 4 14:44:09 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7106934726e-02 0.00e+00 5.41e-05 8.827555e-05 1.840707e-03 6.786509e-02 2 1.7104933660e-02 -6.91e-06 5.41e-07 8.016894e-05 1.517088e-03 1.143965e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171049 rel. change during last iteration : -6.91379e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109075 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18974e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.01689e-05 +/- 1.136e-05 (14.18%) b = 0.00151709 +/- 0.0006918 (45.6%) c = 0.114396 +/- 0.03931 (34.36%) correlation matrix of the fit parameters: a b c a 1.000 b -0.031 1.000 c -0.599 0.052 1.000 ******************************************************************************* Tue Feb 4 14:44:14 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7107280652e-02 0.00e+00 4.96e-05 8.016894e-05 1.517088e-03 1.143965e-01 2 1.7097702662e-02 -1.92e-05 4.96e-07 7.296935e-05 -3.441998e-04 2.121032e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170977 rel. change during last iteration : -1.923e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109052 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.29694e-05 +/- 1.118e-05 (15.33%) b = -0.0003442 +/- 0.0008095 (235.2%) c = 0.212103 +/- 0.05032 (23.73%) correlation matrix of the fit parameters: a b c a 1.000 b -0.013 1.000 c -0.574 -0.143 1.000 ******************************************************************************* Tue Feb 4 14:44:17 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7145326856e-02 0.00e+00 5.57e-05 7.296935e-05 -3.441998e-04 2.121032e-01 2 1.7118881854e-02 -6.33e-04 5.57e-07 9.311679e-05 -1.002827e-03 4.238648e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171189 rel. change during last iteration : -6.33402e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010912 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19071e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.31168e-05 +/- 1.187e-05 (12.75%) b = -0.00100283 +/- 0.0006689 (66.7%) c = 0.0423865 +/- 0.04043 (95.39%) correlation matrix of the fit parameters: a b c a 1.000 b 0.028 1.000 c -0.639 -0.144 1.000 ******************************************************************************* Tue Feb 4 14:44:22 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7111029089e-02 0.00e+00 5.46e-05 9.311679e-05 -1.002827e-03 4.238648e-02 2 1.7095335086e-02 -6.50e-04 5.46e-07 6.915317e-05 -4.304938e-04 1.989361e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170953 rel. change during last iteration : -6.50459e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109045 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18908e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.91532e-05 +/- 1.129e-05 (16.33%) b = -0.000430494 +/- 0.0007359 (170.9%) c = 0.198936 +/- 0.04358 (21.91%) correlation matrix of the fit parameters: a b c a 1.000 b 0.009 1.000 c -0.591 0.066 1.000 ******************************************************************************* Tue Feb 4 14:44:28 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7125837754e-02 0.00e+00 4.96e-05 6.915317e-05 -4.304938e-04 1.989361e-01 1 1.7115203801e-02 -6.21e+01 4.96e-06 8.719183e-05 5.533584e-04 8.977260e-02 The fit was stopped by the user after 1 iterations. final sum of squares of residuals : 0.0171152 rel. change during last iteration : -0.000621316 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109108 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19046e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.71918e-05 +/- 1.143e-05 (13.11%) b = 0.000553358 +/- 0.0007513 (135.8%) c = 0.0897726 +/- 0.04554 (50.73%) correlation matrix of the fit parameters: a b c a 1.000 b -0.002 1.000 c -0.596 0.183 1.000 ******************************************************************************* Tue Feb 4 14:46:27 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7111591213e-02 0.00e+00 5.27e-05 8.719183e-05 5.533584e-04 8.977260e-02 2 1.7109845551e-02 -3.54e-05 5.27e-07 7.689086e-05 1.181742e-04 1.271709e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171098 rel. change during last iteration : -3.5376e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109091 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19008e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.68909e-05 +/- 1.172e-05 (15.24%) b = 0.000118174 +/- 0.000675 (571.2%) c = 0.127171 +/- 0.04058 (31.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.014 1.000 c -0.630 0.053 1.000 ******************************************************************************* Tue Feb 4 14:46:32 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7105219745e-02 0.00e+00 4.78e-05 7.689086e-05 1.181742e-04 1.271709e-01 2 1.7100310934e-02 -1.03e-01 4.78e-07 7.494614e-05 -1.106025e-03 1.906894e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171003 rel. change during last iteration : -1.02721e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109061 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18942e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.49461e-05 +/- 1.115e-05 (14.88%) b = -0.00110603 +/- 0.0007819 (70.7%) c = 0.190689 +/- 0.04668 (24.48%) correlation matrix of the fit parameters: a b c a 1.000 b -0.009 1.000 c -0.572 -0.140 1.000 ******************************************************************************* Tue Feb 4 14:46:35 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7136867496e-02 0.00e+00 5.50e-05 7.494614e-05 -1.106025e-03 1.906894e-01 2 1.7117718464e-02 -2.20e-05 5.50e-07 9.077526e-05 1.110402e-04 4.861339e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171177 rel. change during last iteration : -2.20181e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109116 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19063e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.07753e-05 +/- 1.179e-05 (12.99%) b = 0.00011104 +/- 0.0006667 (600.4%) c = 0.0486134 +/- 0.03986 (81.99%) correlation matrix of the fit parameters: a b c a 1.000 b 0.013 1.000 c -0.634 -0.099 1.000 ******************************************************************************* Tue Feb 4 14:46:40 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7109357562e-02 0.00e+00 5.29e-05 9.077526e-05 1.110402e-04 4.861339e-02 2 1.7084672117e-02 -1.60e-01 5.29e-07 6.542458e-05 1.267199e-03 2.465944e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170847 rel. change during last iteration : -1.60307e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109011 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18833e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.54246e-05 +/- 1.118e-05 (17.09%) b = 0.0012672 +/- 0.0007597 (59.95%) c = 0.246594 +/- 0.04516 (18.31%) correlation matrix of the fit parameters: a b c a 1.000 b 0.009 1.000 c -0.580 0.070 1.000 ******************************************************************************* Tue Feb 4 14:46:42 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7167626317e-02 0.00e+00 5.70e-05 6.542458e-05 1.267199e-03 2.465944e-01 2 1.7120434293e-02 -1.98e-05 5.70e-07 9.970067e-05 -4.567961e-05 1.780117e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171204 rel. change during last iteration : -1.98358e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109125 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19082e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.97007e-05 +/- 1.164e-05 (11.68%) b = -4.56796e-05 +/- 0.0006814 (1492%) c = 0.00178012 +/- 0.04018 (2257%) correlation matrix of the fit parameters: a b c a 1.000 b -0.002 1.000 c -0.620 0.111 1.000 ******************************************************************************* Tue Feb 4 14:46:44 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7120054180e-02 0.00e+00 5.76e-05 9.970067e-05 -4.567961e-05 1.780117e-03 3 1.7079622307e-02 -2.68e-02 5.76e-08 6.060789e-05 -9.934378e-04 2.545939e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170796 rel. change during last iteration : -2.67748e-07 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00108995 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18798e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.06079e-05 +/- 1.144e-05 (18.88%) b = -0.000993438 +/- 0.0007283 (73.31%) c = 0.254594 +/- 0.04457 (17.51%) correlation matrix of the fit parameters: a b c a 1.000 b -0.018 1.000 c -0.607 0.011 1.000 ******************************************************************************* Tue Feb 4 14:46:47 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7165059177e-02 0.00e+00 5.44e-05 6.060789e-05 -9.934378e-04 2.545939e-01 2 1.7121688573e-02 -2.92e-05 5.44e-07 9.869645e-05 8.862047e-05 7.511099e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171217 rel. change during last iteration : -2.92309e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109129 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19091e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.86965e-05 +/- 1.151e-05 (11.66%) b = 8.86205e-05 +/- 0.0007027 (792.9%) c = 0.0075111 +/- 0.04149 (552.3%) correlation matrix of the fit parameters: a b c a 1.000 b -0.006 1.000 c -0.609 -0.105 1.000 ******************************************************************************* Tue Feb 4 14:46:48 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 14380 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 1.7118246085e-02 0.00e+00 5.70e-05 9.869645e-05 8.862047e-05 7.511099e-03 3 1.7097705657e-02 -1.93e-06 5.70e-08 7.246231e-05 1.454192e-03 1.634420e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170977 rel. change during last iteration : -1.92564e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109052 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18924e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.24623e-05 +/- 1.164e-05 (16.06%) b = 0.00145419 +/- 0.000708 (48.68%) c = 0.163442 +/- 0.04387 (26.84%) correlation matrix of the fit parameters: a b c a 1.000 b 0.016 1.000 c -0.624 -0.062 1.000 ******************************************************************************* Tue Feb 4 14:46:51 2025 FIT: data read from file[i] u 6:9 format = x:z #datapoints = 9944 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 9.2180545479e-03 0.00e+00 5.10e-05 7.246231e-05 1.454192e-03 1.634420e-01 2 6.0963244310e-03 -4.56e-04 5.10e-07 6.994957e-04 1.205436e-03 -2.782447e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.00609632 rel. change during last iteration : -4.56156e-09 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000783103 variance of residuals (reduced chisquare) = WSSR/ndf : 6.13251e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000699496 +/- 9.843e-06 (1.407%) b = 0.00120544 +/- 0.0006021 (49.95%) c = -0.278245 +/- 0.03462 (12.44%) correlation matrix of the fit parameters: a b c a 1.000 b -0.000 1.000 c -0.601 0.086 1.000 ******************************************************************************* Tue Feb 4 14:46:53 2025 FIT: data read from file[i] u 6:9 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 2.8395334803e-02 0.00e+00 4.07e-04 6.994957e-04 1.205436e-03 -2.782447e-01 2 2.4121343760e-02 -1.27e-01 4.07e-06 1.336032e-04 -1.790203e-03 1.222966e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0241213 rel. change during last iteration : -1.26797e-06 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011739 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37805e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000133603 +/- 1.149e-05 (8.598%) b = -0.0017902 +/- 0.0006218 (34.73%) c = 0.122297 +/- 0.03549 (29.02%) correlation matrix of the fit parameters: a b c a 1.000 b -0.028 1.000 c -0.634 0.109 1.000 ******************************************************************************* Tue Feb 4 14:46:57 2025 FIT: data read from file[i] u 6:9 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 2.0886387788e-02 0.00e+00 8.36e-05 1.336032e-04 -1.790203e-03 1.222966e-01 2 2.0880995941e-02 -4.77e-06 8.36e-07 1.215499e-04 -9.137497e-04 1.285695e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.020881 rel. change during last iteration : -4.7673e-11 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00113585 variance of residuals (reduced chisquare) = WSSR/ndf : 1.29014e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00012155 +/- 1.171e-05 (9.637%) b = -0.00091375 +/- 0.000579 (63.36%) c = 0.12857 +/- 0.03063 (23.83%) correlation matrix of the fit parameters: a b c a 1.000 b -0.040 1.000 c -0.640 0.210 1.000 ******************************************************************************* Tue Feb 4 14:47:00 2025 FIT: data read from file[i] u 6:9 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 1.8491936287e-02 0.00e+00 7.52e-05 1.215499e-04 -9.137497e-04 1.285695e-01 2 1.8464168009e-02 -4.17e-04 7.52e-07 8.167174e-05 1.238677e-03 2.145968e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0184642 rel. change during last iteration : -4.17074e-09 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110981 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23168e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.16717e-05 +/- 1.155e-05 (14.15%) b = 0.00123868 +/- 0.0006462 (52.17%) c = 0.214597 +/- 0.03415 (15.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.031 1.000 c -0.606 0.261 1.000 ******************************************************************************* Tue Feb 4 14:47:03 2025 FIT: data read from file[i] u 6:9 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 1.8287770537e-02 0.00e+00 5.81e-05 8.167174e-05 1.238677e-03 2.145968e-01 2 1.8251346619e-02 -2.47e-04 5.81e-07 7.883918e-05 5.112726e-03 4.071145e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0182513 rel. change during last iteration : -2.47268e-09 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110658 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22451e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.88392e-05 +/- 1.107e-05 (14.04%) b = 0.00511273 +/- 0.0008409 (16.45%) c = 0.407115 +/- 0.04565 (11.21%) correlation matrix of the fit parameters: a b c a 1.000 b 0.030 1.000 c -0.514 0.399 1.000 ******************************************************************************* Tue Feb 4 14:47:05 2025 FIT: data read from file[i] u 6:9 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 1.7502654513e-02 0.00e+00 7.87e-05 7.883918e-05 5.112726e-03 4.071145e-01 2 1.7498726377e-02 -6.19e-07 7.87e-07 7.677217e-05 6.621276e-03 4.238386e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174987 rel. change during last iteration : -6.19351e-12 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109711 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20365e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67722e-05 +/- 1.134e-05 (14.77%) b = 0.00662128 +/- 0.0009557 (14.43%) c = 0.423839 +/- 0.05615 (13.25%) correlation matrix of the fit parameters: a b c a 1.000 b 0.041 1.000 c -0.502 0.482 1.000 ******************************************************************************* Tue Feb 4 14:47:07 2025 FIT: data read from file[i] u 6:9 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 1.7540651558e-02 0.00e+00 9.31e-05 7.677217e-05 6.621276e-03 4.238386e-01 2 1.7494760902e-02 -8.24e-06 9.31e-07 1.012006e-04 3.652666e-03 1.201664e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174948 rel. change during last iteration : -8.24052e-11 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109789 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20537e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000101201 +/- 1.16e-05 (11.46%) b = 0.00365267 +/- 0.0008807 (24.11%) c = 0.120166 +/- 0.05059 (42.1%) correlation matrix of the fit parameters: a b c a 1.000 b -0.037 1.000 c -0.548 0.516 1.000 ******************************************************************************* Tue Feb 4 14:47:09 2025 FIT: data read from file[i] u 6:9 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 1.7304256274e-02 0.00e+00 7.06e-05 1.012006e-04 3.652666e-03 1.201664e-01 2 1.7286653407e-02 -1.68e-05 7.06e-07 1.028827e-04 1.405247e-03 7.335737e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172867 rel. change during last iteration : -1.68148e-10 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109627 variance of residuals (reduced chisquare) = WSSR/ndf : 1.2018e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000102883 +/- 1.18e-05 (11.47%) b = 0.00140525 +/- 0.0007303 (51.97%) c = 0.00733574 +/- 0.03833 (522.5%) correlation matrix of the fit parameters: a b c a 1.000 b -0.096 1.000 c -0.595 0.481 1.000 ******************************************************************************* Tue Feb 4 14:47:11 2025 FIT: data read from file[i] u 6:9 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 1.7239837047e-02 0.00e+00 6.07e-05 1.028827e-04 1.405247e-03 7.335737e-03 2 1.7237883613e-02 -7.76e-03 6.07e-07 9.456751e-05 8.792825e-04 2.584511e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172379 rel. change during last iteration : -7.76351e-08 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109517 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19941e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.45675e-05 +/- 1.179e-05 (12.47%) b = 0.000879282 +/- 0.0006656 (75.7%) c = 0.0258451 +/- 0.03385 (131%) correlation matrix of the fit parameters: a b c a 1.000 b -0.112 1.000 c -0.611 0.423 1.000 ******************************************************************************* Tue Feb 4 14:47:14 2025 FIT: data read from file[i] u 6:9 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 1.7133884706e-02 0.00e+00 5.53e-05 9.456751e-05 8.792825e-04 2.584511e-02 2 1.7124441554e-02 -1.10e-03 5.53e-07 7.422632e-05 8.041779e-04 1.184210e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171244 rel. change during last iteration : -1.09889e-08 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109412 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19709e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.42263e-05 +/- 1.135e-05 (15.29%) b = 0.000804178 +/- 0.0006988 (86.9%) c = 0.118421 +/- 0.03565 (30.11%) correlation matrix of the fit parameters: a b c a 1.000 b -0.069 1.000 c -0.577 0.340 1.000 ******************************************************************************* Tue Feb 4 14:47:19 2025 FIT: data read from file[i] u 6:9 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 1.7087497674e-02 0.00e+00 4.63e-05 7.422632e-05 8.041779e-04 1.184210e-01 2 1.7075520455e-02 -3.17e-05 4.63e-07 6.401591e-05 -1.582342e-04 2.320174e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170755 rel. change during last iteration : -3.16559e-10 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109297 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19459e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.40159e-05 +/- 1.094e-05 (17.09%) b = -0.000158234 +/- 0.0008215 (519.2%) c = 0.232017 +/- 0.04614 (19.89%) correlation matrix of the fit parameters: a b c a 1.000 b -0.042 1.000 c -0.540 0.256 1.000 ******************************************************************************* Tue Feb 4 14:47:25 2025 FIT: data read from file[i] u 6:9 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 1.7060304304e-02 0.00e+00 4.70e-05 6.401591e-05 -1.582342e-04 2.320174e-01 2 1.7056436584e-02 -3.35e-02 4.70e-07 5.979769e-05 -1.352137e-03 2.746866e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170564 rel. change during last iteration : -3.35031e-07 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109294 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19451e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.97977e-05 +/- 1.129e-05 (18.87%) b = -0.00135214 +/- 0.0008222 (60.8%) c = 0.274687 +/- 0.0525 (19.11%) correlation matrix of the fit parameters: a b c a 1.000 b -0.054 1.000 c -0.585 0.151 1.000 ******************************************************************************* Tue Feb 4 14:47:31 2025 FIT: data read from file[i] u 6:9 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 1.7112139386e-02 0.00e+00 6.05e-05 5.979769e-05 -1.352137e-03 2.746866e-01 2 1.7074869110e-02 -3.36e-06 6.05e-07 7.942836e-05 -8.779388e-04 7.548551e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170749 rel. change during last iteration : -3.35914e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109353 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1958e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.94284e-05 +/- 1.206e-05 (15.19%) b = -0.000877939 +/- 0.0006497 (74.01%) c = 0.0754855 +/- 0.03954 (52.38%) correlation matrix of the fit parameters: a b c a 1.000 b 0.003 1.000 c -0.651 0.041 1.000 ******************************************************************************* Tue Feb 4 14:47:34 2025 FIT: data read from file[i] u 6:9 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 1.7090349544e-02 0.00e+00 4.83e-05 7.942836e-05 -8.779388e-04 7.548551e-02 2 1.7088516305e-02 -1.44e-05 4.83e-07 7.990200e-05 -4.299834e-05 8.049378e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170885 rel. change during last iteration : -1.43968e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109396 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19676e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.9902e-05 +/- 1.152e-05 (14.42%) b = -4.29983e-05 +/- 0.0006747 (1569%) c = 0.0804938 +/- 0.0372 (46.22%) correlation matrix of the fit parameters: a b c a 1.000 b 0.020 1.000 c -0.600 0.117 1.000 ******************************************************************************* Tue Feb 4 14:47:37 2025 FIT: data read from file[i] u 6:9 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 1.7072169274e-02 0.00e+00 4.73e-05 7.990200e-05 -4.299834e-05 8.049378e-02 3 1.7054728189e-02 -5.89e-04 4.73e-08 6.992001e-05 2.597161e-03 2.326379e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0170547 rel. change during last iteration : -5.89252e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109288 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19439e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.992e-05 +/- 1.147e-05 (16.41%) b = 0.00259716 +/- 0.000834 (32.11%) c = 0.232638 +/- 0.05268 (22.64%) correlation matrix of the fit parameters: a b c a 1.000 b 0.012 1.000 c -0.577 0.277 1.000 ******************************************************************************* Tue Feb 4 14:47:44 2025 FIT: data read from file[i] u 6:9 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 1.7119251027e-02 0.00e+00 6.36e-05 6.992001e-05 2.597161e-03 2.326379e-01 2 1.7086796886e-02 -4.47e-06 6.36e-07 8.048541e-05 7.611199e-04 7.487037e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170868 rel. change during last iteration : -4.47009e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109391 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19664e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.04854e-05 +/- 1.179e-05 (14.65%) b = 0.00076112 +/- 0.0006536 (85.87%) c = 0.0748704 +/- 0.03655 (48.82%) correlation matrix of the fit parameters: a b c a 1.000 b -0.072 1.000 c -0.627 0.212 1.000 ******************************************************************************* Tue Feb 4 14:47:48 2025 FIT: data read from file[i] u 6:9 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 1.7074974820e-02 0.00e+00 4.77e-05 8.048541e-05 7.611199e-04 7.487037e-02 2 1.7057216293e-02 -2.57e-04 4.77e-07 6.767485e-05 -1.234091e-03 2.288997e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170572 rel. change during last iteration : -2.57062e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109296 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19457e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.76749e-05 +/- 1.117e-05 (16.5%) b = -0.00123409 +/- 0.0008232 (66.7%) c = 0.2289 +/- 0.05156 (22.52%) correlation matrix of the fit parameters: a b c a 1.000 b -0.044 1.000 c -0.571 -0.015 1.000 ******************************************************************************* Tue Feb 4 14:48:04 2025 FIT: data read from file[i] u ($6**2/betay+$7**2*betay):9 format = x:z #datapoints = 15319 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 1.9122772840e-02 0.00e+00 3.91e-05 6.767485e-05 -1.234091e-03 2.288997e-01 4 1.8991599364e-02 -8.89e-01 3.91e-09 1.023277e-04 2.775379e+00 -1.641152e+03 After 4 iterations the fit converged. final sum of squares of residuals : 0.0189916 rel. change during last iteration : -8.89107e-06 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111355 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23998e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000102328 +/- 1.67e-05 (16.32%) b = 2.77538 +/- 1.492 (53.75%) c = -1641.15 +/- 2.384e+04 (1452%) correlation matrix of the fit parameters: a b c a 1.000 b -0.789 1.000 c 0.624 -0.930 1.000 ******************************************************************************* Tue Feb 4 14:48:09 2025 FIT: data read from file[i] u ($6**2/betay+$7**2*betay):9 format = x:z #datapoints = 14654 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 1.7608329157e-02 0.00e+00 6.80e-05 1.023277e-04 2.775379e+00 -1.641152e+03 3 1.7589364570e-02 -5.44e-04 6.80e-08 8.196423e-05 1.058704e+00 2.661780e+04 After 3 iterations the fit converged. final sum of squares of residuals : 0.0175894 rel. change during last iteration : -5.43677e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010957 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20056e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.19642e-05 +/- 1.768e-05 (21.57%) b = 1.0587 +/- 1.82 (171.9%) c = 26617.8 +/- 3.516e+04 (132.1%) correlation matrix of the fit parameters: a b c a 1.000 b -0.800 1.000 c 0.635 -0.934 1.000 ******************************************************************************* Tue Feb 4 14:48:15 2025 FIT: data read from file[i] u ($6**2/betay+$7**2*betay):9 format = x:z #datapoints = 14470 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 1.7257063622e-02 0.00e+00 5.11e-05 8.196423e-05 1.058704e+00 2.661780e+04 2 1.7252639237e-02 -1.38e-03 5.11e-07 8.866824e-05 -1.507172e+00 8.095493e+04 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172526 rel. change during last iteration : -1.3831e-08 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109204 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19255e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.86682e-05 +/- 1.747e-05 (19.71%) b = -1.50717 +/- 1.776 (117.8%) c = 80954.9 +/- 3.323e+04 (41.04%) correlation matrix of the fit parameters: a b c a 1.000 b -0.795 1.000 c 0.634 -0.936 1.000 ******************************************************************************* Tue Feb 4 14:48:19 2025 FIT: data read from file[i] u ($6**2/betay+$7**2*betay):9 format = x:z #datapoints = 14391 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 1.7116332532e-02 0.00e+00 6.77e-05 8.866824e-05 -1.507172e+00 8.095493e+04 2 1.7106300385e-02 -1.42e-03 6.77e-07 5.818600e-05 2.978844e+00 -7.219383e+03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171063 rel. change during last iteration : -1.41982e-08 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109038 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18893e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.8186e-05 +/- 1.689e-05 (29.03%) b = 2.97884 +/- 1.67 (56.06%) c = -7219.38 +/- 3.036e+04 (420.5%) correlation matrix of the fit parameters: a b c a 1.000 b -0.790 1.000 c 0.612 -0.920 1.000 ******************************************************************************* Tue Feb 4 14:48:25 2025 FIT: data read from file[i] u ($6**2/betay+$7**2*betay):9 format = x:z #datapoints = 14380 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 1.7110615165e-02 0.00e+00 5.05e-05 5.818600e-05 2.978844e+00 -7.219383e+03 2 1.7107937749e-02 -4.50e-06 5.05e-07 7.075807e-05 2.057059e+00 -6.959193e+03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171079 rel. change during last iteration : -4.50034e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109085 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18995e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.07581e-05 +/- 1.734e-05 (24.51%) b = 2.05706 +/- 1.768 (85.96%) c = -6959.19 +/- 3.253e+04 (467.5%) correlation matrix of the fit parameters: a b c a 1.000 b -0.793 1.000 c 0.637 -0.938 1.000 ******************************************************************************* Tue Feb 4 14:48:32 2025 FIT: data read from file[i] u ($6**2/betay+$7**2*betay):9 format = x:z #datapoints = 14380 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 1.7112889095e-02 0.00e+00 4.83e-05 7.075807e-05 2.057059e+00 -6.959193e+03 2 1.7112330308e-02 -1.20e-03 4.83e-07 6.776618e-05 1.955694e+00 2.916457e+03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171123 rel. change during last iteration : -1.20287e-08 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109099 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19026e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.77662e-05 +/- 1.748e-05 (25.79%) b = 1.95569 +/- 1.818 (92.97%) c = 2916.46 +/- 3.435e+04 (1178%) correlation matrix of the fit parameters: a b c a 1.000 b -0.795 1.000 c 0.638 -0.939 1.000 ******************************************************************************* Tue Feb 4 14:48:35 2025 FIT: data read from file[i] u ($6**2/betay+$7**2*betay):9 format = x:z #datapoints = 14380 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 1.7102685889e-02 0.00e+00 4.57e-05 6.776618e-05 1.955694e+00 2.916457e+03 2 1.7102168150e-02 -1.85e-02 4.57e-07 6.527454e-05 1.919208e+00 1.172197e+04 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171022 rel. change during last iteration : -1.84983e-07 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109067 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18955e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.52745e-05 +/- 1.755e-05 (26.89%) b = 1.91921 +/- 1.861 (96.98%) c = 11722 +/- 3.594e+04 (306.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.797 1.000 c 0.640 -0.938 1.000 ******************************************************************************* Tue Feb 4 14:48:40 2025 FIT: data read from file[i] u ($6**2/betay+$7**2*betay):9 format = x:z #datapoints = 14380 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 ******************************************************************************* Tue Feb 4 14:49:30 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z x range restricted to [12.0000 : 32.0000] BREAK: No data to fit ******************************************************************************* Tue Feb 4 14:50:00 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 15319 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 1.5427746471e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 6 1.8990757972e-02 -6.31e-04 5.77e-07 1.300798e-04 -1.563368e-02 4.448536e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.0189908 rel. change during last iteration : -6.30784e-09 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111352 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23993e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013008 +/- 3.277e-05 (25.19%) b = -0.0156337 +/- 0.01738 (111.2%) c = 4.44854 +/- 2.042 (45.9%) correlation matrix of the fit parameters: a b c a 1.000 b -0.917 1.000 c 0.806 -0.963 1.000 ******************************************************************************* Tue Feb 4 14:51:08 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14654 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 1.7604692002e-02 0.00e+00 9.91e-05 1.300798e-04 -1.563368e-02 4.448536e+00 2 1.7586389354e-02 -1.52e-03 9.91e-07 1.303970e-04 -3.496850e-02 6.625186e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175864 rel. change during last iteration : -1.52324e-08 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109561 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20035e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000130397 +/- 3.533e-05 (27.1%) b = -0.0349685 +/- 0.02002 (57.24%) c = 6.62519 +/- 2.535 (38.26%) correlation matrix of the fit parameters: a b c a 1.000 b -0.922 1.000 c 0.817 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:51:49 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14470 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 1.7252025185e-02 0.00e+00 1.38e-04 1.303970e-04 -3.496850e-02 6.625186e+00 2 1.7248963136e-02 -5.95e-04 1.38e-06 1.573834e-04 -5.849433e-02 9.595733e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.017249 rel. change during last iteration : -5.94767e-09 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109192 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1923e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000157383 +/- 3.461e-05 (21.99%) b = -0.0584943 +/- 0.01948 (33.29%) c = 9.59573 +/- 2.429 (25.32%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.816 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:51:50 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14391 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 1.7101295767e-02 0.00e+00 1.95e-04 1.573834e-04 -5.849433e-02 9.595733e+00 2 1.7100415902e-02 -1.99e-04 1.95e-06 1.300166e-04 -4.259702e-02 7.793667e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171004 rel. change during last iteration : -1.99107e-09 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109019 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18852e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000130017 +/- 3.376e-05 (25.96%) b = -0.042597 +/- 0.01904 (44.69%) c = 7.79367 +/- 2.406 (30.87%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.805 -0.962 1.000 ******************************************************************************* Tue Feb 4 14:51:51 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7108978081e-02 0.00e+00 1.58e-04 1.300166e-04 -4.259702e-02 7.793667e+00 2 1.7105146873e-02 -1.92e-04 1.58e-06 1.211629e-04 -2.937337e-02 5.218901e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171051 rel. change during last iteration : -1.91658e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109076 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18976e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000121163 +/- 3.382e-05 (27.91%) b = -0.0293734 +/- 0.01899 (64.66%) c = 5.2189 +/- 2.355 (45.13%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.812 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:51:59 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7108915318e-02 0.00e+00 1.17e-04 1.211629e-04 -2.937337e-02 5.218901e+00 2 1.7108187888e-02 -6.61e-05 1.17e-06 1.254593e-04 -3.616482e-02 6.478182e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171082 rel. change during last iteration : -6.61229e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109086 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18997e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000125459 +/- 3.416e-05 (27.23%) b = -0.0361648 +/- 0.01936 (53.54%) c = 6.47818 +/- 2.426 (37.45%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:52:05 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097803324e-02 0.00e+00 1.34e-04 1.254593e-04 -3.616482e-02 6.478182e+00 2 1.7097175448e-02 -2.87e-05 1.34e-06 1.275034e-04 -4.090210e-02 7.493002e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170972 rel. change during last iteration : -2.86817e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000127503 +/- 3.45e-05 (27.06%) b = -0.0409021 +/- 0.01971 (48.2%) c = 7.493 +/- 2.497 (33.32%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:52:11 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7087750535e-02 0.00e+00 1.46e-04 1.275034e-04 -4.090210e-02 7.493002e+00 2 1.7085773258e-02 -4.27e-04 1.46e-06 1.541140e-04 -6.137411e-02 1.056544e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170858 rel. change during last iteration : -4.2656e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109014 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18841e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000154114 +/- 3.487e-05 (22.63%) b = -0.0613741 +/- 0.02016 (32.84%) c = 10.5654 +/- 2.603 (24.63%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:52:20 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7099857403e-02 0.00e+00 2.09e-04 1.541140e-04 -6.137411e-02 1.056544e+01 2 1.7098329428e-02 -8.66e-05 2.09e-06 1.470096e-04 -5.222345e-02 8.791660e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170983 rel. change during last iteration : -8.65739e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109054 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18928e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00014701 +/- 3.457e-05 (23.51%) b = -0.0522234 +/- 0.01981 (37.93%) c = 8.79166 +/- 2.522 (28.68%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:52:26 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7092746482e-02 0.00e+00 1.79e-04 1.470096e-04 -5.222345e-02 8.791660e+00 2 1.7092195518e-02 -4.87e-07 1.79e-06 1.396904e-04 -5.130522e-02 9.121237e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170922 rel. change during last iteration : -4.8704e-12 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109035 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18886e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013969 +/- 3.475e-05 (24.87%) b = -0.0513052 +/- 0.02001 (39.01%) c = 9.12124 +/- 2.562 (28.09%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:52:33 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7093378867e-02 0.00e+00 1.78e-04 1.396904e-04 -5.130522e-02 9.121237e+00 1 1.7093265855e-02 -6.61e-01 1.78e-05 1.455120e-04 -5.300954e-02 9.136383e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170933 rel. change during last iteration : -6.61148e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109038 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18893e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000145512 +/- 3.467e-05 (23.82%) b = -0.0530095 +/- 0.01988 (37.51%) c = 9.13638 +/- 2.542 (27.83%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:52:40 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7093269858e-02 0.00e+00 1.84e-04 1.455120e-04 -5.300954e-02 9.136383e+00 1 1.7093242261e-02 -1.61e-01 1.84e-05 1.434020e-04 -5.298151e-02 9.202504e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170932 rel. change during last iteration : -1.61446e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109038 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18893e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000143402 +/- 3.468e-05 (24.18%) b = -0.0529815 +/- 0.01996 (37.68%) c = 9.2025 +/- 2.548 (27.68%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.815 -0.967 1.000 ******************************************************************************* Tue Feb 4 14:52:44 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7091237254e-02 0.00e+00 1.81e-04 1.434020e-04 -5.298151e-02 9.202504e+00 1 1.7091141548e-02 -5.60e-01 1.81e-05 1.452816e-04 -5.468945e-02 9.561938e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170911 rel. change during last iteration : -5.5997e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109031 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18878e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000145282 +/- 3.473e-05 (23.91%) b = -0.0546895 +/- 0.01997 (36.51%) c = 9.56194 +/- 2.56 (26.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:52:56 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7096363637e-02 0.00e+00 1.89e-04 1.452816e-04 -5.468945e-02 9.561938e+00 2 1.7095741787e-02 -2.44e-05 1.89e-06 1.427548e-04 -4.996999e-02 8.553346e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170957 rel. change during last iteration : -2.43527e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109046 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000142755 +/- 3.461e-05 (24.25%) b = -0.04997 +/- 0.01987 (39.77%) c = 8.55335 +/- 2.53 (29.58%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.967 1.000 ******************************************************************************* Tue Feb 4 14:53:04 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7093683152e-02 0.00e+00 1.72e-04 1.427548e-04 -4.996999e-02 8.553346e+00 2 1.7093101787e-02 -2.78e-06 1.72e-06 1.390930e-04 -5.117748e-02 9.156579e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170931 rel. change during last iteration : -2.78376e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109038 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000139093 +/- 3.477e-05 (24.99%) b = -0.0511775 +/- 0.02004 (39.15%) c = 9.15658 +/- 2.572 (28.09%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:53:10 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097514526e-02 0.00e+00 1.79e-04 1.390930e-04 -5.117748e-02 9.156579e+00 2 1.7096825426e-02 -3.61e-06 1.79e-06 1.427247e-04 -4.958050e-02 8.478088e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170968 rel. change during last iteration : -3.60792e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109049 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18918e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000142725 +/- 3.459e-05 (24.23%) b = -0.0495805 +/- 0.01979 (39.91%) c = 8.47809 +/- 2.515 (29.66%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:53:18 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7090231449e-02 0.00e+00 1.72e-04 1.427247e-04 -4.958050e-02 8.478088e+00 2 1.7089254554e-02 -1.77e-05 1.72e-06 1.406736e-04 -5.336955e-02 9.531245e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170893 rel. change during last iteration : -1.7721e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109025 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18865e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000140674 +/- 3.474e-05 (24.7%) b = -0.0533696 +/- 0.02003 (37.53%) c = 9.53125 +/- 2.569 (26.95%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:53:25 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7099078726e-02 0.00e+00 1.85e-04 1.406736e-04 -5.336955e-02 9.531245e+00 2 1.7098109012e-02 -1.07e-05 1.85e-06 1.439350e-04 -5.022998e-02 8.567253e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170981 rel. change during last iteration : -1.07375e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109054 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18927e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000143935 +/- 3.464e-05 (24.07%) b = -0.05023 +/- 0.01983 (39.48%) c = 8.56725 +/- 2.524 (29.46%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:53:30 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7089772590e-02 0.00e+00 1.74e-04 1.439350e-04 -5.022998e-02 8.567253e+00 2 1.7089046555e-02 -6.26e-05 1.74e-06 1.497222e-04 -5.801749e-02 9.977434e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.017089 rel. change during last iteration : -6.26132e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109025 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18864e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000149722 +/- 3.469e-05 (23.17%) b = -0.0580175 +/- 0.02 (34.47%) c = 9.97743 +/- 2.562 (25.68%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:53:36 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 9944 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 9.2174894347e-03 0.00e+00 2.04e-04 1.497222e-04 -5.801749e-02 9.977434e+00 2 6.0755681125e-03 -6.42e-03 2.04e-06 7.220731e-04 1.124049e-02 -6.893844e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.00607557 rel. change during last iteration : -6.42077e-08 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000781769 variance of residuals (reduced chisquare) = WSSR/ndf : 6.11163e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000722073 +/- 2.977e-05 (4.123%) b = 0.0112405 +/- 0.0168 (149.4%) c = -6.89384 +/- 2.102 (30.49%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.967 1.000 ******************************************************************************* Tue Feb 4 14:53:42 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 2.8695003395e-02 0.00e+00 4.28e-04 7.220731e-04 1.124049e-02 -6.893844e+00 3 2.4004547016e-02 -4.57e-05 4.28e-07 1.268209e-04 -3.878505e-02 1.034003e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0240045 rel. change during last iteration : -4.57244e-10 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00117106 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37137e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000126821 +/- 3.326e-05 (26.23%) b = -0.038785 +/- 0.01825 (47.05%) c = 10.34 +/- 2.213 (21.41%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:53:48 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 2.0829673857e-02 0.00e+00 1.84e-04 1.268209e-04 -3.878505e-02 1.034003e+01 2 2.0820038199e-02 -8.29e-05 1.84e-06 1.578979e-04 -4.634482e-02 9.770299e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.02082 rel. change during last iteration : -8.28824e-10 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00113419 variance of residuals (reduced chisquare) = WSSR/ndf : 1.28638e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000157898 +/- 3.304e-05 (20.92%) b = -0.0463448 +/- 0.01777 (38.35%) c = 9.7703 +/- 2.114 (21.64%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.810 -0.965 1.000 ******************************************************************************* Tue Feb 4 14:53:54 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.8478747273e-02 0.00e+00 1.90e-04 1.578979e-04 -4.634482e-02 9.770299e+00 2 1.8465506417e-02 -1.41e-05 1.90e-06 1.452690e-04 -4.521913e-02 8.703932e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0184655 rel. change during last iteration : -1.40935e-10 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110985 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23177e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000145269 +/- 3.385e-05 (23.3%) b = -0.0452191 +/- 0.01856 (41.04%) c = 8.70393 +/- 2.258 (25.94%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.810 -0.965 1.000 ******************************************************************************* Tue Feb 4 14:53:59 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.8316941196e-02 0.00e+00 1.71e-04 1.452690e-04 -4.521913e-02 8.703932e+00 1 1.8316858305e-02 -4.53e-01 1.71e-05 1.427747e-04 -4.541232e-02 8.892888e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0183169 rel. change during last iteration : -4.52538e-06 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110856 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22891e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000142775 +/- 3.481e-05 (24.38%) b = -0.0454123 +/- 0.01953 (43.02%) c = 8.89289 +/- 2.451 (27.56%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.813 -0.965 1.000 ******************************************************************************* Tue Feb 4 14:54:05 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7568293758e-02 0.00e+00 1.70e-04 1.427747e-04 -4.541232e-02 8.892888e+00 2 1.7563066179e-02 -1.66e-04 1.70e-06 1.221916e-04 -3.438428e-02 6.759767e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175631 rel. change during last iteration : -1.65957e-09 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109913 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20808e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000122192 +/- 3.515e-05 (28.76%) b = -0.0343843 +/- 0.02009 (58.42%) c = 6.75977 +/- 2.562 (37.9%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:54:11 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7500866373e-02 0.00e+00 1.35e-04 1.221916e-04 -3.438428e-02 6.759767e+00 2 1.7499609109e-02 -2.80e-04 1.35e-06 9.977074e-05 -1.858127e-02 4.485411e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174996 rel. change during last iteration : -2.80021e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109805 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20571e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.97707e-05 +/- 3.438e-05 (34.46%) b = -0.0185813 +/- 0.01946 (104.7%) c = 4.48541 +/- 2.446 (54.54%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.811 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:54:17 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7285103017e-02 0.00e+00 9.30e-05 9.977074e-05 -1.858127e-02 4.485411e+00 2 1.7282241348e-02 -2.29e-04 9.30e-07 8.518806e-05 -8.051703e-03 2.588969e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172822 rel. change during last iteration : -2.28507e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109613 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20149e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.51881e-05 +/- 3.32e-05 (38.97%) b = -0.0080517 +/- 0.01825 (226.7%) c = 2.58897 +/- 2.213 (85.47%) correlation matrix of the fit parameters: a b c a 1.000 b -0.916 1.000 c 0.806 -0.964 1.000 ******************************************************************************* Tue Feb 4 14:54:26 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7231995221e-02 0.00e+00 6.30e-05 8.518806e-05 -8.051703e-03 2.588969e+00 2 1.7231441771e-02 -8.88e-04 6.30e-07 6.809700e-05 2.838364e-03 1.190459e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172314 rel. change during last iteration : -8.87698e-09 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109497 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19896e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.8097e-05 +/- 3.268e-05 (47.99%) b = 0.00283836 +/- 0.01774 (625.1%) c = 1.19046 +/- 2.114 (177.6%) correlation matrix of the fit parameters: a b c a 1.000 b -0.916 1.000 c 0.806 -0.963 1.000 ******************************************************************************* Tue Feb 4 14:54:30 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7124109497e-02 0.00e+00 4.27e-05 6.809700e-05 2.838364e-03 1.190459e+00 2 1.7122330922e-02 -1.55e-02 4.27e-07 8.055721e-05 -1.055533e-02 3.312837e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171223 rel. change during last iteration : -1.55255e-07 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109405 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19695e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.05572e-05 +/- 3.274e-05 (40.64%) b = -0.0105553 +/- 0.01794 (169.9%) c = 3.31284 +/- 2.166 (65.39%) correlation matrix of the fit parameters: a b c a 1.000 b -0.917 1.000 c 0.804 -0.962 1.000 ******************************************************************************* Tue Feb 4 14:54:33 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7084430667e-02 0.00e+00 6.51e-05 8.055721e-05 -1.055533e-02 3.312837e+00 2 1.7080727904e-02 -1.24e-03 6.51e-07 9.761436e-05 -2.862440e-02 6.457845e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170807 rel. change during last iteration : -1.24058e-08 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109314 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19496e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 9.76144e-05 +/- 3.352e-05 (34.34%) b = -0.0286244 +/- 0.0189 (66.04%) c = 6.45784 +/- 2.381 (36.87%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.803 -0.962 1.000 ******************************************************************************* Tue Feb 4 14:54:36 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7064319573e-02 0.00e+00 1.12e-04 9.761436e-05 -2.862440e-02 6.457845e+00 2 1.7062236483e-02 -6.66e-04 1.12e-06 1.330547e-04 -5.337653e-02 9.871651e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170622 rel. change during last iteration : -6.65758e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109312 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19492e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000133055 +/- 3.456e-05 (25.98%) b = -0.0533765 +/- 0.02006 (37.58%) c = 9.87165 +/- 2.603 (26.36%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.809 -0.964 1.000 ******************************************************************************* Tue Feb 4 14:54:38 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7054451545e-02 0.00e+00 1.87e-04 1.330547e-04 -5.337653e-02 9.871651e+00 2 1.7052735422e-02 -1.42e-05 1.87e-06 1.467776e-04 -5.746637e-02 9.658656e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170527 rel. change during last iteration : -1.42251e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109282 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19425e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000146778 +/- 3.459e-05 (23.56%) b = -0.0574664 +/- 0.01986 (34.56%) c = 9.65866 +/- 2.528 (26.17%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:54:39 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7073413609e-02 0.00e+00 1.95e-04 1.467776e-04 -5.746637e-02 9.658656e+00 2 1.7072187959e-02 -3.23e-04 1.95e-06 1.199383e-04 -3.885178e-02 7.167178e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170722 rel. change during last iteration : -3.23377e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109344 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19562e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000119938 +/- 3.439e-05 (28.68%) b = -0.0388518 +/- 0.01961 (50.49%) c = 7.16718 +/- 2.473 (34.5%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:54:40 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7054526411e-02 0.00e+00 1.40e-04 1.199383e-04 -3.885178e-02 7.167178e+00 2 1.7052965970e-02 -3.48e-04 1.40e-06 1.441331e-04 -5.739130e-02 9.922998e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.017053 rel. change during last iteration : -3.48136e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109283 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19427e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000144133 +/- 3.457e-05 (23.98%) b = -0.0573913 +/- 0.02007 (34.98%) c = 9.923 +/- 2.597 (26.17%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.810 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:54:40 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7076687016e-02 0.00e+00 1.98e-04 1.441331e-04 -5.739130e-02 9.922998e+00 2 1.7073110425e-02 -5.66e-04 1.98e-06 1.128051e-04 -3.310062e-02 6.278893e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170731 rel. change during last iteration : -5.65773e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109347 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19568e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000112805 +/- 3.388e-05 (30.03%) b = -0.0331006 +/- 0.01925 (58.17%) c = 6.27889 +/- 2.411 (38.39%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.811 -0.966 1.000 ******************************************************************************* Tue Feb 4 14:54:42 2025 FIT: data read from file[i] u (($6**2/betay+$7**2*betay)**.5):9 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 1.7055477629e-02 0.00e+00 1.22e-04 1.128051e-04 -3.310062e-02 6.278893e+00 2 1.7052694544e-02 -3.17e-04 1.22e-06 1.300393e-04 -5.001943e-02 9.227419e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170527 rel. change during last iteration : -3.16708e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109282 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19425e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000130039 +/- 3.452e-05 (26.55%) b = -0.0500194 +/- 0.02006 (40.09%) c = 9.22742 +/- 2.594 (28.11%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.811 -0.965 1.000 ******************************************************************************* Tue Feb 4 15:08:44 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 15319 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 1.8999780069e-02 0.00e+00 1.85e-04 1.300393e-04 -5.001943e-02 9.227419e+00 2 1.8966406006e-02 -7.70e-06 1.85e-06 1.656709e-04 -4.570207e-02 8.938737e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0189664 rel. change during last iteration : -7.69829e-11 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111281 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23834e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000165671 +/- 3.361e-05 (20.29%) b = -0.0457021 +/- 0.0184 (40.25%) c = 8.93874 +/- 2.23 (24.95%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.811 -0.965 1.000 ******************************************************************************* Tue Feb 4 15:08:45 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14654 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 1.7581473804e-02 0.00e+00 1.72e-04 1.656709e-04 -4.570207e-02 8.938737e+00 2 1.7567384125e-02 -3.29e-04 1.72e-06 1.644974e-04 -6.541932e-02 1.160393e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175674 rel. change during last iteration : -3.29188e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109501 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19906e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000164497 +/- 3.526e-05 (21.43%) b = -0.0654193 +/- 0.02077 (31.75%) c = 11.6039 +/- 2.734 (23.56%) correlation matrix of the fit parameters: a b c a 1.000 b -0.922 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:08:46 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14470 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 1.7259580328e-02 0.00e+00 2.29e-04 1.644974e-04 -6.541932e-02 1.160393e+01 2 1.7251909574e-02 -9.55e-05 2.29e-06 1.570156e-04 -5.741768e-02 9.396569e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172519 rel. change during last iteration : -9.54792e-10 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109202 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1925e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000157016 +/- 3.463e-05 (22.05%) b = -0.0574177 +/- 0.01967 (34.25%) c = 9.39657 +/- 2.473 (26.32%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:08:47 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14391 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 1.7099602401e-02 0.00e+00 1.91e-04 1.570156e-04 -5.741768e-02 9.396569e+00 2 1.7098593560e-02 -1.31e-04 1.91e-06 1.303695e-04 -4.450465e-02 8.233156e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170986 rel. change during last iteration : -1.30891e-09 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109013 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18839e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013037 +/- 3.413e-05 (26.18%) b = -0.0445047 +/- 0.01947 (43.76%) c = 8.23316 +/- 2.485 (30.18%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.808 -0.963 1.000 ******************************************************************************* Tue Feb 4 15:08:48 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097554384e-02 0.00e+00 1.63e-04 1.303695e-04 -4.450465e-02 8.233156e+00 2 1.7096220532e-02 -8.05e-06 1.63e-06 1.431022e-04 -4.772199e-02 7.986479e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170962 rel. change during last iteration : -8.05053e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109048 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18914e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000143102 +/- 3.471e-05 (24.26%) b = -0.047722 +/- 0.01977 (41.44%) c = 7.98648 +/- 2.49 (31.17%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.817 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:08:49 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7103004539e-02 0.00e+00 1.69e-04 1.431022e-04 -4.772199e-02 7.986479e+00 1 1.7102887274e-02 -6.86e-01 1.69e-05 1.372653e-04 -4.606678e-02 7.976629e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0171029 rel. change during last iteration : -6.85646e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109069 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1896e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000137265 +/- 3.462e-05 (25.22%) b = -0.0460668 +/- 0.01974 (42.85%) c = 7.97663 +/- 2.49 (31.21%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:08:50 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097302389e-02 0.00e+00 1.63e-04 1.372653e-04 -4.606678e-02 7.976629e+00 1 1.7097147977e-02 -9.03e-01 1.63e-05 1.276189e-04 -4.098661e-02 7.504799e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170971 rel. change during last iteration : -9.03144e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000127619 +/- 3.45e-05 (27.04%) b = -0.0409866 +/- 0.01971 (48.1%) c = 7.5048 +/- 2.497 (33.27%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:08:51 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7088844480e-02 0.00e+00 1.46e-04 1.276189e-04 -4.098661e-02 7.504799e+00 2 1.7087315825e-02 -2.70e-04 1.46e-06 1.478633e-04 -5.717043e-02 1.004018e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170873 rel. change during last iteration : -2.69661e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109019 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18852e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000147863 +/- 3.506e-05 (23.71%) b = -0.0571704 +/- 0.02021 (35.36%) c = 10.0402 +/- 2.607 (25.96%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:08:52 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097699234e-02 0.00e+00 1.97e-04 1.478633e-04 -5.717043e-02 1.004018e+01 2 1.7096834320e-02 -2.96e-05 1.97e-06 1.447829e-04 -5.198619e-02 8.902229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170968 rel. change during last iteration : -2.95755e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010905 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18918e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000144783 +/- 3.463e-05 (23.92%) b = -0.0519862 +/- 0.01983 (38.15%) c = 8.90223 +/- 2.529 (28.41%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:08:52 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7094172111e-02 0.00e+00 1.79e-04 1.447829e-04 -5.198619e-02 8.902229e+00 2 1.7093933611e-02 -1.67e-05 1.79e-06 1.345094e-04 -4.753382e-02 8.603697e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170939 rel. change during last iteration : -1.67422e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010904 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18898e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000134509 +/- 3.481e-05 (25.88%) b = -0.0475338 +/- 0.02004 (42.15%) c = 8.6037 +/- 2.561 (29.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.816 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:08:53 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7093806076e-02 0.00e+00 1.66e-04 1.345094e-04 -4.753382e-02 8.603697e+00 1 1.7093794140e-02 -6.98e-02 1.66e-05 1.369865e-04 -4.829494e-02 8.653237e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170938 rel. change during last iteration : -6.98295e-07 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010904 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18897e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136987 +/- 3.468e-05 (25.31%) b = -0.0482949 +/- 0.01989 (41.18%) c = 8.65324 +/- 2.548 (29.45%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.812 -0.965 1.000 ******************************************************************************* Tue Feb 4 15:08:54 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7092707220e-02 0.00e+00 1.71e-04 1.369865e-04 -4.829494e-02 8.653237e+00 1 1.7092541733e-02 -9.68e-01 1.71e-05 1.463711e-04 -5.491501e-02 9.451551e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170925 rel. change during last iteration : -9.68182e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109036 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18888e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000146371 +/- 3.466e-05 (23.68%) b = -0.054915 +/- 0.01995 (36.33%) c = 9.45155 +/- 2.548 (26.96%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.815 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:08:55 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7091756412e-02 0.00e+00 1.86e-04 1.463711e-04 -5.491501e-02 9.451551e+00 2 1.7091499798e-02 -2.07e-05 1.86e-06 1.364782e-04 -4.984061e-02 9.051565e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170915 rel. change during last iteration : -2.06595e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109032 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18881e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136478 +/- 3.473e-05 (25.45%) b = -0.0498406 +/- 0.01996 (40.04%) c = 9.05157 +/- 2.56 (28.28%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.965 1.000 ******************************************************************************* Tue Feb 4 15:08:56 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7096204293e-02 0.00e+00 1.76e-04 1.364782e-04 -4.984061e-02 9.051565e+00 2 1.7095427946e-02 -1.36e-06 1.76e-06 1.448389e-04 -5.119831e-02 8.709252e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170954 rel. change during last iteration : -1.35604e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109045 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18908e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000144839 +/- 3.456e-05 (23.86%) b = -0.0511983 +/- 0.01982 (38.71%) c = 8.70925 +/- 2.526 (29%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:08:57 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7092885554e-02 0.00e+00 1.75e-04 1.448389e-04 -5.119831e-02 8.709252e+00 2 1.7092179449e-02 -6.97e-07 1.75e-06 1.386732e-04 -5.137985e-02 9.236939e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170922 rel. change during last iteration : -6.96764e-12 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109035 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18886e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000138673 +/- 3.48e-05 (25.1%) b = -0.0513798 +/- 0.02004 (39.01%) c = 9.23694 +/- 2.572 (27.84%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:08:58 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7098296834e-02 0.00e+00 1.80e-04 1.386732e-04 -5.137985e-02 9.236939e+00 2 1.7097441124e-02 -1.90e-05 1.80e-06 1.389905e-04 -4.716155e-02 8.190156e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170974 rel. change during last iteration : -1.90239e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18922e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013899 +/- 3.461e-05 (24.9%) b = -0.0471615 +/- 0.01975 (41.87%) c = 8.19016 +/- 2.508 (30.62%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:08:59 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7089800710e-02 0.00e+00 1.65e-04 1.389905e-04 -4.716155e-02 8.190156e+00 2 1.7088713975e-02 -5.60e-05 1.65e-06 1.420067e-04 -5.434012e-02 9.664956e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170887 rel. change during last iteration : -5.60338e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109024 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18861e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000142007 +/- 3.473e-05 (24.45%) b = -0.0543401 +/- 0.02003 (36.85%) c = 9.66496 +/- 2.568 (26.57%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:00 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7098238143e-02 0.00e+00 1.88e-04 1.420067e-04 -5.434012e-02 9.664956e+00 2 1.7097244326e-02 -2.51e-06 1.88e-06 1.486783e-04 -5.299473e-02 8.904013e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170972 rel. change during last iteration : -2.5104e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18921e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000148678 +/- 3.462e-05 (23.29%) b = -0.0529947 +/- 0.01978 (37.32%) c = 8.90401 +/- 2.515 (28.25%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:00 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7090562305e-02 0.00e+00 1.82e-04 1.486783e-04 -5.299473e-02 8.904013e+00 2 1.7090061414e-02 -1.96e-05 1.82e-06 1.493081e-04 -5.726456e-02 9.836739e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170901 rel. change during last iteration : -1.96349e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109028 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18871e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000149308 +/- 3.472e-05 (23.25%) b = -0.0572646 +/- 0.02 (34.93%) c = 9.83674 +/- 2.563 (26.05%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:01 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 9944 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 9.2141906506e-03 0.00e+00 2.01e-04 1.493081e-04 -5.726456e-02 9.836739e+00 2 6.0782368819e-03 -6.37e-03 2.01e-06 7.302294e-04 5.106812e-03 -6.050975e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.00607824 rel. change during last iteration : -6.37024e-08 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000781941 variance of residuals (reduced chisquare) = WSSR/ndf : 6.11431e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000730229 +/- 2.978e-05 (4.078%) b = 0.00510681 +/- 0.01679 (328.7%) c = -6.05098 +/- 2.1 (34.71%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:09:02 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 2.8675747763e-02 0.00e+00 4.29e-04 7.302294e-04 5.106812e-03 -6.050975e+00 3 2.4009841417e-02 -3.98e-03 4.29e-07 1.267889e-04 -3.806154e-02 1.019894e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0240098 rel. change during last iteration : -3.97509e-08 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00117119 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37168e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000126789 +/- 3.337e-05 (26.32%) b = -0.0380615 +/- 0.01838 (48.28%) c = 10.1989 +/- 2.236 (21.93%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.814 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:09:04 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 2.0839498057e-02 0.00e+00 1.80e-04 1.267889e-04 -3.806154e-02 1.019894e+01 2 2.0830775260e-02 -6.52e-06 1.80e-06 1.415420e-04 -3.571304e-02 8.501684e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0208308 rel. change during last iteration : -6.52029e-11 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00113448 variance of residuals (reduced chisquare) = WSSR/ndf : 1.28704e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000141542 +/- 3.32e-05 (23.46%) b = -0.035713 +/- 0.01814 (50.8%) c = 8.50168 +/- 2.187 (25.72%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.812 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:05 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.8478668519e-02 0.00e+00 1.59e-04 1.415420e-04 -3.571304e-02 8.501684e+00 2 1.8466896106e-02 -5.03e-05 1.59e-06 1.193599e-04 -3.137425e-02 7.303791e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0184669 rel. change during last iteration : -5.03178e-10 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110989 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23187e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00011936 +/- 3.362e-05 (28.17%) b = -0.0313742 +/- 0.01877 (59.81%) c = 7.30379 +/- 2.317 (31.72%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.810 -0.965 1.000 ******************************************************************************* Tue Feb 4 15:09:06 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.8306600696e-02 0.00e+00 1.31e-04 1.193599e-04 -3.137425e-02 7.303791e+00 2 1.8305048526e-02 -1.99e-05 1.31e-06 1.154008e-04 -3.525451e-02 8.509147e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.018305 rel. change during last iteration : -1.98582e-10 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011082 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22811e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000115401 +/- 3.407e-05 (29.53%) b = -0.0352545 +/- 0.01957 (55.51%) c = 8.50915 +/- 2.503 (29.42%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.809 -0.965 1.000 ******************************************************************************* Tue Feb 4 15:09:07 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7544448425e-02 0.00e+00 1.40e-04 1.154008e-04 -3.525451e-02 8.509147e+00 2 1.7541047506e-02 -2.66e-04 1.40e-06 1.312811e-04 -5.186838e-02 1.040762e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.017541 rel. change during last iteration : -2.66409e-09 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109844 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20657e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000131281 +/- 3.505e-05 (26.7%) b = -0.0518684 +/- 0.02072 (39.94%) c = 10.4076 +/- 2.728 (26.21%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:07 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7471505607e-02 0.00e+00 1.83e-04 1.312811e-04 -5.186838e-02 1.040762e+01 2 1.7470691598e-02 -1.95e-04 1.83e-06 1.549943e-04 -6.622312e-02 1.198058e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174707 rel. change during last iteration : -1.9537e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109714 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20371e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000154994 +/- 3.513e-05 (22.67%) b = -0.0662231 +/- 0.0207 (31.26%) c = 11.9806 +/- 2.713 (22.64%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:09:08 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7272870778e-02 0.00e+00 2.29e-04 1.549943e-04 -6.622312e-02 1.198058e+01 2 1.7265310155e-02 -2.25e-04 2.29e-06 1.433877e-04 -5.221072e-02 8.903429e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172653 rel. change during last iteration : -2.25005e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109559 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20031e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000143388 +/- 3.468e-05 (24.19%) b = -0.0522107 +/- 0.01989 (38.09%) c = 8.90343 +/- 2.518 (28.28%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 15:09:09 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7225462375e-02 0.00e+00 1.85e-04 1.433877e-04 -5.221072e-02 8.903429e+00 2 1.7223138318e-02 -2.56e-04 1.85e-06 1.251747e-04 -3.624624e-02 6.331765e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172231 rel. change during last iteration : -2.55804e-09 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109471 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19838e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000125175 +/- 3.396e-05 (27.13%) b = -0.0362462 +/- 0.01914 (52.82%) c = 6.33177 +/- 2.375 (37.51%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:10 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7118580926e-02 0.00e+00 1.35e-04 1.251747e-04 -3.624624e-02 6.331765e+00 2 1.7118082196e-02 -3.55e-05 1.35e-06 1.085082e-04 -2.985890e-02 5.901083e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171181 rel. change during last iteration : -3.55264e-10 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109392 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19665e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000108508 +/- 3.361e-05 (30.98%) b = -0.0298589 +/- 0.01893 (63.41%) c = 5.90108 +/- 2.355 (39.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.809 -0.964 1.000 ******************************************************************************* Tue Feb 4 15:09:11 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7082152248e-02 0.00e+00 1.14e-04 1.085082e-04 -2.985890e-02 5.901083e+00 2 1.7080417917e-02 -3.72e-05 1.14e-06 1.076525e-04 -3.518915e-02 7.325579e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170804 rel. change during last iteration : -3.71547e-10 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109313 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19494e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000107653 +/- 3.389e-05 (31.48%) b = -0.0351891 +/- 0.01939 (55.12%) c = 7.32558 +/- 2.476 (33.8%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.806 -0.963 1.000 ******************************************************************************* Tue Feb 4 15:09:12 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7063960222e-02 0.00e+00 1.30e-04 1.076525e-04 -3.518915e-02 7.325579e+00 2 1.7062619940e-02 -4.00e-04 1.30e-06 1.366130e-04 -5.534495e-02 1.009231e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170626 rel. change during last iteration : -3.99583e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109314 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19495e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136613 +/- 3.462e-05 (25.34%) b = -0.055345 +/- 0.02016 (36.42%) c = 10.0923 +/- 2.623 (25.99%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.810 -0.965 1.000 ******************************************************************************* Tue Feb 4 15:09:13 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7055490702e-02 0.00e+00 1.92e-04 1.366130e-04 -5.534495e-02 1.009231e+01 2 1.7053761773e-02 -1.26e-06 1.92e-06 1.458417e-04 -5.657031e-02 9.514639e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170538 rel. change during last iteration : -1.26142e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109285 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19432e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000145842 +/- 3.45e-05 (23.66%) b = -0.0565703 +/- 0.01986 (35.11%) c = 9.51464 +/- 2.533 (26.62%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:14 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7075546909e-02 0.00e+00 1.92e-04 1.458417e-04 -5.657031e-02 9.514639e+00 2 1.7073781122e-02 -4.67e-04 1.92e-06 1.126379e-04 -3.389230e-02 6.525070e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170738 rel. change during last iteration : -4.67465e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109349 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19573e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000112638 +/- 3.408e-05 (30.26%) b = -0.0338923 +/- 0.01951 (57.57%) c = 6.52507 +/- 2.462 (37.74%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:15 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7051789329e-02 0.00e+00 1.25e-04 1.126379e-04 -3.389230e-02 6.525070e+00 2 1.7048311971e-02 -5.32e-04 1.25e-06 1.369785e-04 -5.613742e-02 1.019749e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170483 rel. change during last iteration : -5.31878e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109268 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19394e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136978 +/- 3.48e-05 (25.4%) b = -0.0561374 +/- 0.02027 (36.11%) c = 10.1975 +/- 2.635 (25.84%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.812 -0.965 1.000 ******************************************************************************* Tue Feb 4 15:09:16 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7074611629e-02 0.00e+00 1.96e-04 1.369785e-04 -5.613742e-02 1.019749e+01 2 1.7070725361e-02 -3.14e-04 1.96e-06 1.193598e-04 -3.851492e-02 7.099804e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170707 rel. change during last iteration : -3.14067e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010934 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19551e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00011936 +/- 3.422e-05 (28.67%) b = -0.0385149 +/- 0.01957 (50.81%) c = 7.0998 +/- 2.468 (34.76%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 15:09:17 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7054150442e-02 0.00e+00 1.37e-04 1.193598e-04 -3.851492e-02 7.099804e+00 2 1.7052413591e-02 -9.94e-05 1.37e-06 1.266956e-04 -4.810253e-02 9.012990e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170524 rel. change during last iteration : -9.93819e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109281 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19423e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000126696 +/- 3.447e-05 (27.2%) b = -0.0481025 +/- 0.01996 (41.5%) c = 9.01299 +/- 2.576 (28.58%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.811 -0.965 1.000 ******************************************************************************* Tue Feb 4 20:45:40 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 15319 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 1.5426701730e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 6 1.8966406006e-02 -4.67e-03 5.77e-07 1.656708e-04 -4.570201e-02 8.938730e+00 After 6 iterations the fit converged. final sum of squares of residuals : 0.0189664 rel. change during last iteration : -4.67038e-08 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111281 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23834e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000165671 +/- 3.361e-05 (20.29%) b = -0.045702 +/- 0.0184 (40.25%) c = 8.93873 +/- 2.23 (24.95%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.811 -0.965 1.000 ******************************************************************************* Tue Feb 4 20:45:42 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14654 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 1.7581473814e-02 0.00e+00 1.72e-04 1.656708e-04 -4.570201e-02 8.938730e+00 2 1.7567384125e-02 -3.29e-04 1.72e-06 1.644974e-04 -6.541932e-02 1.160393e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175674 rel. change during last iteration : -3.2919e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109501 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19906e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000164497 +/- 3.526e-05 (21.43%) b = -0.0654193 +/- 0.02077 (31.75%) c = 11.6039 +/- 2.734 (23.56%) correlation matrix of the fit parameters: a b c a 1.000 b -0.922 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:45:43 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14470 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 1.7259580328e-02 0.00e+00 2.29e-04 1.644974e-04 -6.541932e-02 1.160393e+01 2 1.7251909574e-02 -9.55e-05 2.29e-06 1.570156e-04 -5.741768e-02 9.396569e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172519 rel. change during last iteration : -9.54792e-10 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109202 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1925e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000157016 +/- 3.463e-05 (22.05%) b = -0.0574177 +/- 0.01967 (34.25%) c = 9.39657 +/- 2.473 (26.32%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:45:44 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14391 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 1.7099602401e-02 0.00e+00 1.91e-04 1.570156e-04 -5.741768e-02 9.396569e+00 2 1.7098593560e-02 -1.31e-04 1.91e-06 1.303695e-04 -4.450465e-02 8.233156e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170986 rel. change during last iteration : -1.30891e-09 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109013 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18839e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013037 +/- 3.413e-05 (26.18%) b = -0.0445047 +/- 0.01947 (43.76%) c = 8.23316 +/- 2.485 (30.18%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.808 -0.963 1.000 ******************************************************************************* Tue Feb 4 20:45:45 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097554384e-02 0.00e+00 1.63e-04 1.303695e-04 -4.450465e-02 8.233156e+00 2 1.7096220532e-02 -8.05e-06 1.63e-06 1.431022e-04 -4.772199e-02 7.986479e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170962 rel. change during last iteration : -8.05053e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109048 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18914e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000143102 +/- 3.471e-05 (24.26%) b = -0.047722 +/- 0.01977 (41.44%) c = 7.98648 +/- 2.49 (31.17%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.817 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:45:46 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7103004539e-02 0.00e+00 1.69e-04 1.431022e-04 -4.772199e-02 7.986479e+00 1 1.7102887274e-02 -6.86e-01 1.69e-05 1.372653e-04 -4.606678e-02 7.976629e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0171029 rel. change during last iteration : -6.85646e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109069 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1896e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000137265 +/- 3.462e-05 (25.22%) b = -0.0460668 +/- 0.01974 (42.85%) c = 7.97663 +/- 2.49 (31.21%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:45:47 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097302389e-02 0.00e+00 1.63e-04 1.372653e-04 -4.606678e-02 7.976629e+00 1 1.7097147977e-02 -9.03e-01 1.63e-05 1.276189e-04 -4.098661e-02 7.504799e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170971 rel. change during last iteration : -9.03144e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000127619 +/- 3.45e-05 (27.04%) b = -0.0409866 +/- 0.01971 (48.1%) c = 7.5048 +/- 2.497 (33.27%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:47 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7088844480e-02 0.00e+00 1.46e-04 1.276189e-04 -4.098661e-02 7.504799e+00 2 1.7087315825e-02 -2.70e-04 1.46e-06 1.478633e-04 -5.717043e-02 1.004018e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170873 rel. change during last iteration : -2.69661e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109019 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18852e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000147863 +/- 3.506e-05 (23.71%) b = -0.0571704 +/- 0.02021 (35.36%) c = 10.0402 +/- 2.607 (25.96%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:48 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097699234e-02 0.00e+00 1.97e-04 1.478633e-04 -5.717043e-02 1.004018e+01 2 1.7096834320e-02 -2.96e-05 1.97e-06 1.447829e-04 -5.198619e-02 8.902229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170968 rel. change during last iteration : -2.95755e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010905 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18918e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000144783 +/- 3.463e-05 (23.92%) b = -0.0519862 +/- 0.01983 (38.15%) c = 8.90223 +/- 2.529 (28.41%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:49 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7094172111e-02 0.00e+00 1.79e-04 1.447829e-04 -5.198619e-02 8.902229e+00 2 1.7093933611e-02 -1.67e-05 1.79e-06 1.345094e-04 -4.753382e-02 8.603697e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170939 rel. change during last iteration : -1.67422e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010904 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18898e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000134509 +/- 3.481e-05 (25.88%) b = -0.0475338 +/- 0.02004 (42.15%) c = 8.6037 +/- 2.561 (29.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.816 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:50 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7093806076e-02 0.00e+00 1.66e-04 1.345094e-04 -4.753382e-02 8.603697e+00 1 1.7093794140e-02 -6.98e-02 1.66e-05 1.369865e-04 -4.829494e-02 8.653237e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170938 rel. change during last iteration : -6.98295e-07 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010904 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18897e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136987 +/- 3.468e-05 (25.31%) b = -0.0482949 +/- 0.01989 (41.18%) c = 8.65324 +/- 2.548 (29.45%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.812 -0.965 1.000 ******************************************************************************* Tue Feb 4 20:45:51 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7092707220e-02 0.00e+00 1.71e-04 1.369865e-04 -4.829494e-02 8.653237e+00 1 1.7092541733e-02 -9.68e-01 1.71e-05 1.463711e-04 -5.491501e-02 9.451551e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170925 rel. change during last iteration : -9.68182e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109036 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18888e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000146371 +/- 3.466e-05 (23.68%) b = -0.054915 +/- 0.01995 (36.33%) c = 9.45155 +/- 2.548 (26.96%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.815 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:45:51 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7091756412e-02 0.00e+00 1.86e-04 1.463711e-04 -5.491501e-02 9.451551e+00 2 1.7091499798e-02 -2.07e-05 1.86e-06 1.364782e-04 -4.984061e-02 9.051565e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170915 rel. change during last iteration : -2.06595e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109032 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18881e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136478 +/- 3.473e-05 (25.45%) b = -0.0498406 +/- 0.01996 (40.04%) c = 9.05157 +/- 2.56 (28.28%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.965 1.000 ******************************************************************************* Tue Feb 4 20:45:52 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7096204293e-02 0.00e+00 1.76e-04 1.364782e-04 -4.984061e-02 9.051565e+00 2 1.7095427946e-02 -1.36e-06 1.76e-06 1.448389e-04 -5.119831e-02 8.709252e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170954 rel. change during last iteration : -1.35606e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109045 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18908e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000144839 +/- 3.456e-05 (23.86%) b = -0.0511983 +/- 0.01982 (38.71%) c = 8.70925 +/- 2.526 (29%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:53 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7092885554e-02 0.00e+00 1.75e-04 1.448389e-04 -5.119831e-02 8.709252e+00 2 1.7092179449e-02 -6.97e-07 1.75e-06 1.386732e-04 -5.137985e-02 9.236939e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170922 rel. change during last iteration : -6.96764e-12 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109035 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18886e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000138673 +/- 3.48e-05 (25.1%) b = -0.0513798 +/- 0.02004 (39.01%) c = 9.23694 +/- 2.572 (27.84%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:54 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7098296834e-02 0.00e+00 1.80e-04 1.386732e-04 -5.137985e-02 9.236939e+00 2 1.7097441124e-02 -1.90e-05 1.80e-06 1.389905e-04 -4.716155e-02 8.190156e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170974 rel. change during last iteration : -1.90239e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18922e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013899 +/- 3.461e-05 (24.9%) b = -0.0471615 +/- 0.01975 (41.87%) c = 8.19016 +/- 2.508 (30.62%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:55 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7089800710e-02 0.00e+00 1.65e-04 1.389905e-04 -4.716155e-02 8.190156e+00 2 1.7088713975e-02 -5.60e-05 1.65e-06 1.420067e-04 -5.434012e-02 9.664956e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170887 rel. change during last iteration : -5.60338e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109024 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18861e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000142007 +/- 3.473e-05 (24.45%) b = -0.0543401 +/- 0.02003 (36.85%) c = 9.66496 +/- 2.568 (26.57%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:56 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7098238143e-02 0.00e+00 1.88e-04 1.420067e-04 -5.434012e-02 9.664956e+00 2 1.7097244326e-02 -2.51e-06 1.88e-06 1.486783e-04 -5.299473e-02 8.904013e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170972 rel. change during last iteration : -2.5104e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18921e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000148678 +/- 3.462e-05 (23.29%) b = -0.0529947 +/- 0.01978 (37.32%) c = 8.90401 +/- 2.515 (28.25%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:57 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7090562305e-02 0.00e+00 1.82e-04 1.486783e-04 -5.299473e-02 8.904013e+00 2 1.7090061414e-02 -1.96e-05 1.82e-06 1.493081e-04 -5.726456e-02 9.836739e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170901 rel. change during last iteration : -1.96349e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109028 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18871e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000149308 +/- 3.472e-05 (23.25%) b = -0.0572646 +/- 0.02 (34.93%) c = 9.83674 +/- 2.563 (26.05%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:45:58 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 9944 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 9.2141906506e-03 0.00e+00 2.01e-04 1.493081e-04 -5.726456e-02 9.836739e+00 2 6.0782368819e-03 -6.37e-03 2.01e-06 7.302294e-04 5.106812e-03 -6.050975e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.00607824 rel. change during last iteration : -6.37024e-08 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000781941 variance of residuals (reduced chisquare) = WSSR/ndf : 6.11431e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000730229 +/- 2.978e-05 (4.078%) b = 0.00510681 +/- 0.01679 (328.7%) c = -6.05098 +/- 2.1 (34.71%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:45:58 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 2.8675747763e-02 0.00e+00 4.29e-04 7.302294e-04 5.106812e-03 -6.050975e+00 3 2.4009841417e-02 -3.98e-03 4.29e-07 1.267889e-04 -3.806154e-02 1.019894e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0240098 rel. change during last iteration : -3.97509e-08 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00117119 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37168e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000126789 +/- 3.337e-05 (26.32%) b = -0.0380615 +/- 0.01838 (48.28%) c = 10.1989 +/- 2.236 (21.93%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.814 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:46:00 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 2.0839498057e-02 0.00e+00 1.80e-04 1.267889e-04 -3.806154e-02 1.019894e+01 2 2.0830775260e-02 -6.52e-06 1.80e-06 1.415420e-04 -3.571304e-02 8.501684e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0208308 rel. change during last iteration : -6.52029e-11 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00113448 variance of residuals (reduced chisquare) = WSSR/ndf : 1.28704e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000141542 +/- 3.32e-05 (23.46%) b = -0.035713 +/- 0.01814 (50.8%) c = 8.50168 +/- 2.187 (25.72%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.812 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:46:01 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.8478668519e-02 0.00e+00 1.59e-04 1.415420e-04 -3.571304e-02 8.501684e+00 2 1.8466896106e-02 -5.03e-05 1.59e-06 1.193599e-04 -3.137425e-02 7.303791e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0184669 rel. change during last iteration : -5.03178e-10 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110989 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23187e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00011936 +/- 3.362e-05 (28.17%) b = -0.0313742 +/- 0.01877 (59.81%) c = 7.30379 +/- 2.317 (31.72%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.810 -0.965 1.000 ******************************************************************************* Tue Feb 4 20:46:02 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.8306600696e-02 0.00e+00 1.31e-04 1.193599e-04 -3.137425e-02 7.303791e+00 2 1.8305048526e-02 -1.99e-05 1.31e-06 1.154008e-04 -3.525451e-02 8.509147e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.018305 rel. change during last iteration : -1.98582e-10 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011082 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22811e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000115401 +/- 3.407e-05 (29.53%) b = -0.0352545 +/- 0.01957 (55.51%) c = 8.50915 +/- 2.503 (29.42%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.809 -0.965 1.000 ******************************************************************************* Tue Feb 4 20:46:03 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7544448425e-02 0.00e+00 1.40e-04 1.154008e-04 -3.525451e-02 8.509147e+00 2 1.7541047506e-02 -2.66e-04 1.40e-06 1.312811e-04 -5.186838e-02 1.040762e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.017541 rel. change during last iteration : -2.66409e-09 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109844 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20657e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000131281 +/- 3.505e-05 (26.7%) b = -0.0518684 +/- 0.02072 (39.94%) c = 10.4076 +/- 2.728 (26.21%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:46:03 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7471505607e-02 0.00e+00 1.83e-04 1.312811e-04 -5.186838e-02 1.040762e+01 2 1.7470691598e-02 -1.95e-04 1.83e-06 1.549943e-04 -6.622312e-02 1.198058e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174707 rel. change during last iteration : -1.9537e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109714 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20371e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000154994 +/- 3.513e-05 (22.67%) b = -0.0662231 +/- 0.0207 (31.26%) c = 11.9806 +/- 2.713 (22.64%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:46:04 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7272870778e-02 0.00e+00 2.29e-04 1.549943e-04 -6.622312e-02 1.198058e+01 2 1.7265310155e-02 -2.25e-04 2.29e-06 1.433877e-04 -5.221072e-02 8.903429e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172653 rel. change during last iteration : -2.25005e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109559 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20031e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000143388 +/- 3.468e-05 (24.19%) b = -0.0522107 +/- 0.01989 (38.09%) c = 8.90343 +/- 2.518 (28.28%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Tue Feb 4 20:46:05 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7225462375e-02 0.00e+00 1.85e-04 1.433877e-04 -5.221072e-02 8.903429e+00 2 1.7223138318e-02 -2.56e-04 1.85e-06 1.251747e-04 -3.624624e-02 6.331765e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172231 rel. change during last iteration : -2.55804e-09 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109471 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19838e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000125175 +/- 3.396e-05 (27.13%) b = -0.0362462 +/- 0.01914 (52.82%) c = 6.33177 +/- 2.375 (37.51%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:46:06 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7118580926e-02 0.00e+00 1.35e-04 1.251747e-04 -3.624624e-02 6.331765e+00 2 1.7118082196e-02 -3.55e-05 1.35e-06 1.085082e-04 -2.985890e-02 5.901083e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171181 rel. change during last iteration : -3.55264e-10 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109392 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19665e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000108508 +/- 3.361e-05 (30.98%) b = -0.0298589 +/- 0.01893 (63.41%) c = 5.90108 +/- 2.355 (39.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.809 -0.964 1.000 ******************************************************************************* Tue Feb 4 20:46:07 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7082152248e-02 0.00e+00 1.14e-04 1.085082e-04 -2.985890e-02 5.901083e+00 2 1.7080417917e-02 -3.72e-05 1.14e-06 1.076525e-04 -3.518915e-02 7.325579e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170804 rel. change during last iteration : -3.71547e-10 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109313 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19494e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000107653 +/- 3.389e-05 (31.48%) b = -0.0351891 +/- 0.01939 (55.12%) c = 7.32558 +/- 2.476 (33.8%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.806 -0.963 1.000 ******************************************************************************* Tue Feb 4 20:46:08 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7063960222e-02 0.00e+00 1.30e-04 1.076525e-04 -3.518915e-02 7.325579e+00 2 1.7062619940e-02 -4.00e-04 1.30e-06 1.366130e-04 -5.534495e-02 1.009231e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170626 rel. change during last iteration : -3.99583e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109314 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19495e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136613 +/- 3.462e-05 (25.34%) b = -0.055345 +/- 0.02016 (36.42%) c = 10.0923 +/- 2.623 (25.99%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.810 -0.965 1.000 ******************************************************************************* Tue Feb 4 20:46:09 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7055490702e-02 0.00e+00 1.92e-04 1.366130e-04 -5.534495e-02 1.009231e+01 2 1.7053761773e-02 -1.26e-06 1.92e-06 1.458417e-04 -5.657031e-02 9.514639e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170538 rel. change during last iteration : -1.26142e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109285 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19432e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000145842 +/- 3.45e-05 (23.66%) b = -0.0565703 +/- 0.01986 (35.11%) c = 9.51464 +/- 2.533 (26.62%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:46:10 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7075546909e-02 0.00e+00 1.92e-04 1.458417e-04 -5.657031e-02 9.514639e+00 2 1.7073781122e-02 -4.67e-04 1.92e-06 1.126379e-04 -3.389230e-02 6.525070e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170738 rel. change during last iteration : -4.67465e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109349 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19573e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000112638 +/- 3.408e-05 (30.26%) b = -0.0338923 +/- 0.01951 (57.57%) c = 6.52507 +/- 2.462 (37.74%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:46:11 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7051789329e-02 0.00e+00 1.25e-04 1.126379e-04 -3.389230e-02 6.525070e+00 2 1.7048311971e-02 -5.32e-04 1.25e-06 1.369785e-04 -5.613742e-02 1.019749e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170483 rel. change during last iteration : -5.31878e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109268 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19394e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136978 +/- 3.48e-05 (25.4%) b = -0.0561374 +/- 0.02027 (36.11%) c = 10.1975 +/- 2.635 (25.84%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.812 -0.965 1.000 ******************************************************************************* Tue Feb 4 20:46:11 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7074611629e-02 0.00e+00 1.96e-04 1.369785e-04 -5.613742e-02 1.019749e+01 2 1.7070725361e-02 -3.14e-04 1.96e-06 1.193598e-04 -3.851492e-02 7.099804e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170707 rel. change during last iteration : -3.14067e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010934 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19551e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00011936 +/- 3.422e-05 (28.67%) b = -0.0385149 +/- 0.01957 (50.81%) c = 7.0998 +/- 2.468 (34.76%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Tue Feb 4 20:46:12 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7054150442e-02 0.00e+00 1.37e-04 1.193598e-04 -3.851492e-02 7.099804e+00 2 1.7052413591e-02 -9.94e-05 1.37e-06 1.266956e-04 -4.810253e-02 9.012990e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170524 rel. change during last iteration : -9.93819e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109281 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19423e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000126696 +/- 3.447e-05 (27.2%) b = -0.0481025 +/- 0.01996 (41.5%) c = 9.01299 +/- 2.576 (28.58%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.811 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:12:34 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 15319 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 1.8999659999e-02 0.00e+00 1.80e-04 1.266956e-04 -4.810253e-02 9.012990e+00 2 1.8966406006e-02 -1.75e-05 1.80e-06 1.656709e-04 -4.570207e-02 8.938737e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0189664 rel. change during last iteration : -1.74872e-10 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111281 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23834e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000165671 +/- 3.361e-05 (20.29%) b = -0.0457021 +/- 0.0184 (40.25%) c = 8.93874 +/- 2.23 (24.95%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.811 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:12:35 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14654 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 1.7581473804e-02 0.00e+00 1.72e-04 1.656709e-04 -4.570207e-02 8.938737e+00 2 1.7567384125e-02 -3.29e-04 1.72e-06 1.644974e-04 -6.541932e-02 1.160393e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0175674 rel. change during last iteration : -3.29188e-09 degrees of freedom (FIT_NDF) : 14651 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109501 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19906e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000164497 +/- 3.526e-05 (21.43%) b = -0.0654193 +/- 0.02077 (31.75%) c = 11.6039 +/- 2.734 (23.56%) correlation matrix of the fit parameters: a b c a 1.000 b -0.922 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:37 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14470 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 1.7259580328e-02 0.00e+00 2.29e-04 1.644974e-04 -6.541932e-02 1.160393e+01 2 1.7251909574e-02 -9.55e-05 2.29e-06 1.570156e-04 -5.741768e-02 9.396569e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172519 rel. change during last iteration : -9.54792e-10 degrees of freedom (FIT_NDF) : 14467 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109202 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1925e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000157016 +/- 3.463e-05 (22.05%) b = -0.0574177 +/- 0.01967 (34.25%) c = 9.39657 +/- 2.473 (26.32%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:38 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14391 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 1.7099602401e-02 0.00e+00 1.91e-04 1.570156e-04 -5.741768e-02 9.396569e+00 2 1.7098593560e-02 -1.31e-04 1.91e-06 1.303695e-04 -4.450465e-02 8.233156e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170986 rel. change during last iteration : -1.30891e-09 degrees of freedom (FIT_NDF) : 14388 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109013 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18839e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013037 +/- 3.413e-05 (26.18%) b = -0.0445047 +/- 0.01947 (43.76%) c = 8.23316 +/- 2.485 (30.18%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.808 -0.963 1.000 ******************************************************************************* Wed Feb 5 11:12:39 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097554384e-02 0.00e+00 1.63e-04 1.303695e-04 -4.450465e-02 8.233156e+00 2 1.7096220532e-02 -8.05e-06 1.63e-06 1.431022e-04 -4.772199e-02 7.986479e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170962 rel. change during last iteration : -8.05053e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109048 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18914e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000143102 +/- 3.471e-05 (24.26%) b = -0.047722 +/- 0.01977 (41.44%) c = 7.98648 +/- 2.49 (31.17%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.817 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:39 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7103004539e-02 0.00e+00 1.69e-04 1.431022e-04 -4.772199e-02 7.986479e+00 1 1.7102887274e-02 -6.86e-01 1.69e-05 1.372653e-04 -4.606678e-02 7.976629e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0171029 rel. change during last iteration : -6.85646e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109069 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1896e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000137265 +/- 3.462e-05 (25.22%) b = -0.0460668 +/- 0.01974 (42.85%) c = 7.97663 +/- 2.49 (31.21%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:40 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097302389e-02 0.00e+00 1.63e-04 1.372653e-04 -4.606678e-02 7.976629e+00 1 1.7097147977e-02 -9.03e-01 1.63e-05 1.276189e-04 -4.098661e-02 7.504799e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170971 rel. change during last iteration : -9.03144e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.1892e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000127619 +/- 3.45e-05 (27.04%) b = -0.0409866 +/- 0.01971 (48.1%) c = 7.5048 +/- 2.497 (33.27%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:41 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7088844480e-02 0.00e+00 1.46e-04 1.276189e-04 -4.098661e-02 7.504799e+00 2 1.7087315825e-02 -2.70e-04 1.46e-06 1.478633e-04 -5.717043e-02 1.004018e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170873 rel. change during last iteration : -2.69661e-09 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109019 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18852e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000147863 +/- 3.506e-05 (23.71%) b = -0.0571704 +/- 0.02021 (35.36%) c = 10.0402 +/- 2.607 (25.96%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:42 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7097699234e-02 0.00e+00 1.97e-04 1.478633e-04 -5.717043e-02 1.004018e+01 2 1.7096834320e-02 -2.96e-05 1.97e-06 1.447829e-04 -5.198619e-02 8.902229e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170968 rel. change during last iteration : -2.95755e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010905 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18918e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000144783 +/- 3.463e-05 (23.92%) b = -0.0519862 +/- 0.01983 (38.15%) c = 8.90223 +/- 2.529 (28.41%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:43 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7094172111e-02 0.00e+00 1.79e-04 1.447829e-04 -5.198619e-02 8.902229e+00 2 1.7093933611e-02 -1.67e-05 1.79e-06 1.345094e-04 -4.753382e-02 8.603697e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170939 rel. change during last iteration : -1.67422e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010904 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18898e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000134509 +/- 3.481e-05 (25.88%) b = -0.0475338 +/- 0.02004 (42.15%) c = 8.6037 +/- 2.561 (29.77%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.816 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:44 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7093806076e-02 0.00e+00 1.66e-04 1.345094e-04 -4.753382e-02 8.603697e+00 1 1.7093794140e-02 -6.98e-02 1.66e-05 1.369865e-04 -4.829494e-02 8.653237e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170938 rel. change during last iteration : -6.98295e-07 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010904 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18897e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136987 +/- 3.468e-05 (25.31%) b = -0.0482949 +/- 0.01989 (41.18%) c = 8.65324 +/- 2.548 (29.45%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.812 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:12:44 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7092707220e-02 0.00e+00 1.71e-04 1.369865e-04 -4.829494e-02 8.653237e+00 1 1.7092541733e-02 -9.68e-01 1.71e-05 1.463711e-04 -5.491501e-02 9.451551e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0170925 rel. change during last iteration : -9.68182e-06 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109036 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18888e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000146371 +/- 3.466e-05 (23.68%) b = -0.054915 +/- 0.01995 (36.33%) c = 9.45155 +/- 2.548 (26.96%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.815 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:45 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7091756412e-02 0.00e+00 1.86e-04 1.463711e-04 -5.491501e-02 9.451551e+00 2 1.7091499798e-02 -2.07e-05 1.86e-06 1.364782e-04 -4.984061e-02 9.051565e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170915 rel. change during last iteration : -2.06595e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109032 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18881e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136478 +/- 3.473e-05 (25.45%) b = -0.0498406 +/- 0.01996 (40.04%) c = 9.05157 +/- 2.56 (28.28%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:12:46 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7096204293e-02 0.00e+00 1.76e-04 1.364782e-04 -4.984061e-02 9.051565e+00 2 1.7095427946e-02 -1.36e-06 1.76e-06 1.448389e-04 -5.119831e-02 8.709252e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170954 rel. change during last iteration : -1.35604e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109045 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18908e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000144839 +/- 3.456e-05 (23.86%) b = -0.0511983 +/- 0.01982 (38.71%) c = 8.70925 +/- 2.526 (29%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:47 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7092885554e-02 0.00e+00 1.75e-04 1.448389e-04 -5.119831e-02 8.709252e+00 2 1.7092179449e-02 -6.97e-07 1.75e-06 1.386732e-04 -5.137985e-02 9.236939e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170922 rel. change during last iteration : -6.96764e-12 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109035 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18886e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000138673 +/- 3.48e-05 (25.1%) b = -0.0513798 +/- 0.02004 (39.01%) c = 9.23694 +/- 2.572 (27.84%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:48 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7098296834e-02 0.00e+00 1.80e-04 1.386732e-04 -5.137985e-02 9.236939e+00 2 1.7097441124e-02 -1.90e-05 1.80e-06 1.389905e-04 -4.716155e-02 8.190156e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170974 rel. change during last iteration : -1.90239e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18922e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013899 +/- 3.461e-05 (24.9%) b = -0.0471615 +/- 0.01975 (41.87%) c = 8.19016 +/- 2.508 (30.62%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:49 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7089800710e-02 0.00e+00 1.65e-04 1.389905e-04 -4.716155e-02 8.190156e+00 2 1.7088713975e-02 -5.60e-05 1.65e-06 1.420067e-04 -5.434012e-02 9.664956e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170887 rel. change during last iteration : -5.60338e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109024 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18861e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000142007 +/- 3.473e-05 (24.45%) b = -0.0543401 +/- 0.02003 (36.85%) c = 9.66496 +/- 2.568 (26.57%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:49 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7098238143e-02 0.00e+00 1.88e-04 1.420067e-04 -5.434012e-02 9.664956e+00 2 1.7097244326e-02 -2.51e-06 1.88e-06 1.486783e-04 -5.299473e-02 8.904013e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170972 rel. change during last iteration : -2.5104e-11 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109051 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18921e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000148678 +/- 3.462e-05 (23.29%) b = -0.0529947 +/- 0.01978 (37.32%) c = 8.90401 +/- 2.515 (28.25%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:50 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 14380 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 1.7090562305e-02 0.00e+00 1.82e-04 1.486783e-04 -5.299473e-02 8.904013e+00 2 1.7090061414e-02 -1.96e-05 1.82e-06 1.493081e-04 -5.726456e-02 9.836739e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170901 rel. change during last iteration : -1.96349e-10 degrees of freedom (FIT_NDF) : 14377 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109028 variance of residuals (reduced chisquare) = WSSR/ndf : 1.18871e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000149308 +/- 3.472e-05 (23.25%) b = -0.0572646 +/- 0.02 (34.93%) c = 9.83674 +/- 2.563 (26.05%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.814 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:51 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 9944 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 9.2141906506e-03 0.00e+00 2.01e-04 1.493081e-04 -5.726456e-02 9.836739e+00 2 6.0782368819e-03 -6.37e-03 2.01e-06 7.302294e-04 5.106812e-03 -6.050975e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.00607824 rel. change during last iteration : -6.37024e-08 degrees of freedom (FIT_NDF) : 9941 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000781941 variance of residuals (reduced chisquare) = WSSR/ndf : 6.11431e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000730229 +/- 2.978e-05 (4.078%) b = 0.00510681 +/- 0.01679 (328.7%) c = -6.05098 +/- 2.1 (34.71%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:52 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 2.8675747763e-02 0.00e+00 4.29e-04 7.302294e-04 5.106812e-03 -6.050975e+00 3 2.4009841417e-02 -3.98e-03 4.29e-07 1.267889e-04 -3.806154e-02 1.019894e+01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0240098 rel. change during last iteration : -3.97509e-08 degrees of freedom (FIT_NDF) : 17504 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00117119 variance of residuals (reduced chisquare) = WSSR/ndf : 1.37168e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000126789 +/- 3.337e-05 (26.32%) b = -0.0380615 +/- 0.01838 (48.28%) c = 10.1989 +/- 2.236 (21.93%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.814 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:53 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 2.0839498057e-02 0.00e+00 1.80e-04 1.267889e-04 -3.806154e-02 1.019894e+01 2 2.0830775260e-02 -6.52e-06 1.80e-06 1.415420e-04 -3.571304e-02 8.501684e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0208308 rel. change during last iteration : -6.52029e-11 degrees of freedom (FIT_NDF) : 16185 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00113448 variance of residuals (reduced chisquare) = WSSR/ndf : 1.28704e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000141542 +/- 3.32e-05 (23.46%) b = -0.035713 +/- 0.01814 (50.8%) c = 8.50168 +/- 2.187 (25.72%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.812 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:54 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.8478668519e-02 0.00e+00 1.59e-04 1.415420e-04 -3.571304e-02 8.501684e+00 2 1.8466896106e-02 -5.03e-05 1.59e-06 1.193599e-04 -3.137425e-02 7.303791e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0184669 rel. change during last iteration : -5.03178e-10 degrees of freedom (FIT_NDF) : 14991 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110989 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23187e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00011936 +/- 3.362e-05 (28.17%) b = -0.0313742 +/- 0.01877 (59.81%) c = 7.30379 +/- 2.317 (31.72%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.810 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:12:55 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.8306600696e-02 0.00e+00 1.31e-04 1.193599e-04 -3.137425e-02 7.303791e+00 2 1.8305048526e-02 -1.99e-05 1.31e-06 1.154008e-04 -3.525451e-02 8.509147e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.018305 rel. change during last iteration : -1.98582e-10 degrees of freedom (FIT_NDF) : 14905 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011082 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22811e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000115401 +/- 3.407e-05 (29.53%) b = -0.0352545 +/- 0.01957 (55.51%) c = 8.50915 +/- 2.503 (29.42%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.809 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:12:56 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7544448425e-02 0.00e+00 1.40e-04 1.154008e-04 -3.525451e-02 8.509147e+00 2 1.7541047506e-02 -2.66e-04 1.40e-06 1.312811e-04 -5.186838e-02 1.040762e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.017541 rel. change during last iteration : -2.66409e-09 degrees of freedom (FIT_NDF) : 14538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109844 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20657e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000131281 +/- 3.505e-05 (26.7%) b = -0.0518684 +/- 0.02072 (39.94%) c = 10.4076 +/- 2.728 (26.21%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.815 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:12:57 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7471505607e-02 0.00e+00 1.83e-04 1.312811e-04 -5.186838e-02 1.040762e+01 2 1.7470691598e-02 -1.95e-04 1.83e-06 1.549943e-04 -6.622312e-02 1.198058e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0174707 rel. change during last iteration : -1.9537e-09 degrees of freedom (FIT_NDF) : 14514 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109714 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20371e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000154994 +/- 3.513e-05 (22.67%) b = -0.0662231 +/- 0.0207 (31.26%) c = 11.9806 +/- 2.713 (22.64%) correlation matrix of the fit parameters: a b c a 1.000 b -0.921 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:58 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7272870778e-02 0.00e+00 2.29e-04 1.549943e-04 -6.622312e-02 1.198058e+01 2 1.7265310155e-02 -2.25e-04 2.29e-06 1.433877e-04 -5.221072e-02 8.903429e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172653 rel. change during last iteration : -2.25005e-09 degrees of freedom (FIT_NDF) : 14384 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109559 variance of residuals (reduced chisquare) = WSSR/ndf : 1.20031e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000143388 +/- 3.468e-05 (24.19%) b = -0.0522107 +/- 0.01989 (38.09%) c = 8.90343 +/- 2.518 (28.28%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.816 -0.967 1.000 ******************************************************************************* Wed Feb 5 11:12:59 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7225462375e-02 0.00e+00 1.85e-04 1.433877e-04 -5.221072e-02 8.903429e+00 2 1.7223138318e-02 -2.56e-04 1.85e-06 1.251747e-04 -3.624624e-02 6.331765e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0172231 rel. change during last iteration : -2.55804e-09 degrees of freedom (FIT_NDF) : 14372 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109471 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19838e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000125175 +/- 3.396e-05 (27.13%) b = -0.0362462 +/- 0.01914 (52.82%) c = 6.33177 +/- 2.375 (37.51%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:13:00 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7118580926e-02 0.00e+00 1.35e-04 1.251747e-04 -3.624624e-02 6.331765e+00 2 1.7118082196e-02 -3.55e-05 1.35e-06 1.085082e-04 -2.985890e-02 5.901083e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0171181 rel. change during last iteration : -3.55264e-10 degrees of freedom (FIT_NDF) : 14305 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109392 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19665e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000108508 +/- 3.361e-05 (30.98%) b = -0.0298589 +/- 0.01893 (63.41%) c = 5.90108 +/- 2.355 (39.91%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.809 -0.964 1.000 ******************************************************************************* Wed Feb 5 11:13:01 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7082152248e-02 0.00e+00 1.14e-04 1.085082e-04 -2.985890e-02 5.901083e+00 2 1.7080417917e-02 -3.72e-05 1.14e-06 1.076525e-04 -3.518915e-02 7.325579e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170804 rel. change during last iteration : -3.71547e-10 degrees of freedom (FIT_NDF) : 14294 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109313 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19494e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000107653 +/- 3.389e-05 (31.48%) b = -0.0351891 +/- 0.01939 (55.12%) c = 7.32558 +/- 2.476 (33.8%) correlation matrix of the fit parameters: a b c a 1.000 b -0.918 1.000 c 0.806 -0.963 1.000 ******************************************************************************* Wed Feb 5 11:13:02 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7063960222e-02 0.00e+00 1.30e-04 1.076525e-04 -3.518915e-02 7.325579e+00 2 1.7062619940e-02 -4.00e-04 1.30e-06 1.366130e-04 -5.534495e-02 1.009231e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170626 rel. change during last iteration : -3.99583e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109314 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19495e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136613 +/- 3.462e-05 (25.34%) b = -0.055345 +/- 0.02016 (36.42%) c = 10.0923 +/- 2.623 (25.99%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.810 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:13:02 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7055490702e-02 0.00e+00 1.92e-04 1.366130e-04 -5.534495e-02 1.009231e+01 2 1.7053761773e-02 -1.26e-06 1.92e-06 1.458417e-04 -5.657031e-02 9.514639e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170538 rel. change during last iteration : -1.26142e-11 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109285 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19432e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000145842 +/- 3.45e-05 (23.66%) b = -0.0565703 +/- 0.01986 (35.11%) c = 9.51464 +/- 2.533 (26.62%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:13:03 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7075546909e-02 0.00e+00 1.92e-04 1.458417e-04 -5.657031e-02 9.514639e+00 2 1.7073781122e-02 -4.67e-04 1.92e-06 1.126379e-04 -3.389230e-02 6.525070e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170738 rel. change during last iteration : -4.67465e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109349 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19573e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000112638 +/- 3.408e-05 (30.26%) b = -0.0338923 +/- 0.01951 (57.57%) c = 6.52507 +/- 2.462 (37.74%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:13:04 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7051789329e-02 0.00e+00 1.25e-04 1.126379e-04 -3.389230e-02 6.525070e+00 2 1.7048311971e-02 -5.32e-04 1.25e-06 1.369785e-04 -5.613742e-02 1.019749e+01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170483 rel. change during last iteration : -5.31878e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109268 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19394e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000136978 +/- 3.48e-05 (25.4%) b = -0.0561374 +/- 0.02027 (36.11%) c = 10.1975 +/- 2.635 (25.84%) correlation matrix of the fit parameters: a b c a 1.000 b -0.920 1.000 c 0.812 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:13:05 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7074611629e-02 0.00e+00 1.96e-04 1.369785e-04 -5.613742e-02 1.019749e+01 2 1.7070725361e-02 -3.14e-04 1.96e-06 1.193598e-04 -3.851492e-02 7.099804e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170707 rel. change during last iteration : -3.14067e-09 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0010934 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19551e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00011936 +/- 3.422e-05 (28.67%) b = -0.0385149 +/- 0.01957 (50.81%) c = 7.0998 +/- 2.468 (34.76%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.813 -0.966 1.000 ******************************************************************************* Wed Feb 5 11:13:06 2025 FIT: data read from file[i] u ((($6-avg[i])**2/betay+$7**2*betay)**.5):9 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 1.7054150442e-02 0.00e+00 1.37e-04 1.193598e-04 -3.851492e-02 7.099804e+00 2 1.7052413591e-02 -9.94e-05 1.37e-06 1.266956e-04 -4.810253e-02 9.012990e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0170524 rel. change during last iteration : -9.93819e-10 degrees of freedom (FIT_NDF) : 14279 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00109281 variance of residuals (reduced chisquare) = WSSR/ndf : 1.19423e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000126696 +/- 3.447e-05 (27.2%) b = -0.0481025 +/- 0.01996 (41.5%) c = 9.01299 +/- 2.576 (28.58%) correlation matrix of the fit parameters: a b c a 1.000 b -0.919 1.000 c 0.811 -0.965 1.000 ******************************************************************************* Wed Feb 5 11:15:31 2025 FIT: data read from file[1] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 15319 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 1.9028296494e-02 0.00e+00 1.84e-04 1.266956e-04 -4.810253e-02 9.012990e+00 2 1.8990757972e-02 -5.87e-04 1.84e-06 1.300799e-04 -1.563371e-02 4.448539e+00 After 2 iterations the fit converged. final sum of squares of residuals : 0.0189908 rel. change during last iteration : -5.86634e-09 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111352 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23993e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013008 +/- 3.277e-05 (25.19%) b = -0.0156337 +/- 0.01738 (111.2%) c = 4.44854 +/- 2.042 (45.9%) correlation matrix of the fit parameters: a b c a 1.000 b -0.917 1.000 c 0.806 -0.963 1.000 ******************************************************************************* Wed Feb 5 11:33:49 2025 FIT: data read from file[1] u (($6**2/betay+$7**2*betay)**.5):9 format = x:z #datapoints = 15319 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 1.8990757972e-02 0.00e+00 1.04e-04 1.300799e-04 -1.563371e-02 4.448539e+00 1 1.8990757972e-02 0.00e+00 1.04e-05 1.300799e-04 -1.563370e-02 4.448538e+00 After 1 iterations the fit converged. final sum of squares of residuals : 0.0189908 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 15316 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111352 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23993e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.00013008 +/- 3.277e-05 (25.19%) b = -0.0156337 +/- 0.01738 (111.2%) c = 4.44854 +/- 2.042 (45.9%) correlation matrix of the fit parameters: a b c a 1.000 b -0.917 1.000 c 0.806 -0.963 1.000 ******************************************************************************* Thu Feb 6 10:51:29 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 3:4 format = x:z #datapoints = 550 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 8.2593228603e+05 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 5 8.8456478226e+00 -7.48e-07 7.07e-06 3.975462e+01 -1.374867e+01 After 5 iterations the fit converged. final sum of squares of residuals : 8.84565 rel. change during last iteration : -7.48124e-12 degrees of freedom (FIT_NDF) : 548 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.12705 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0161417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.7546 +/- 0.005479 (0.01378%) b = -13.7487 +/- 3.864 (28.11%) correlation matrix of the fit parameters: a b a 1.000 b -0.149 1.000 ******************************************************************************* Sat Feb 8 15:39:11 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:($15 < 300 ?$15:1/0) format = x:z #datapoints = 14373 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 2.6090989624e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 2.8632488066e+03 -2.71e-05 7.07e-05 2.272305e+00 -1.049256e+01 After 4 iterations the fit converged. final sum of squares of residuals : 2863.25 rel. change during last iteration : -2.71163e-10 degrees of freedom (FIT_NDF) : 14371 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.446361 variance of residuals (reduced chisquare) = WSSR/ndf : 0.199238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27231 +/- 0.003737 (0.1645%) b = -10.4926 +/- 3.306 (31.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.087 1.000 ******************************************************************************* Sat Feb 8 15:39:31 2025 FIT: data read from 'all_phase_space_at_70752_ns.dat_sorted' u 9:($15 < 300 ?$15:1/0) format = x:z #datapoints = 14380 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 1.4936168372e+08 0.00e+00 1.61e+00 2.272305e+00 -1.049256e+01 3 3.5185577696e+03 -2.76e-03 1.61e-03 1.041875e+02 -1.991166e+01 After 3 iterations the fit converged. final sum of squares of residuals : 3518.56 rel. change during last iteration : -2.75633e-08 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.49469 variance of residuals (reduced chisquare) = WSSR/ndf : 0.244718 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.188 +/- 0.004143 (0.003976%) b = -19.9117 +/- 3.781 (18.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Sat Feb 8 15:39:43 2025 FIT: data read from 'all_phase_space_at_70752_ns.dat_sorted' u 9:15 format = x:z #datapoints = 14380 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 3.5185577696e+03 0.00e+00 7.37e+01 1.041875e+02 -1.991166e+01 1 3.5185577696e+03 0.00e+00 7.37e+03 1.041875e+02 -1.991166e+01 After 1 iterations the fit converged. final sum of squares of residuals : 3518.56 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.49469 variance of residuals (reduced chisquare) = WSSR/ndf : 0.244718 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.188 +/- 0.004143 (0.003976%) b = -19.9117 +/- 3.781 (18.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Sat Feb 8 15:39:47 2025 FIT: data read from 'all_phase_space_at_70752_ns.dat_sorted' u 9:15 format = x:z #datapoints = 14380 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 3.5185577696e+03 0.00e+00 7.37e+01 1.041875e+02 -1.991166e+01 1 3.5185577696e+03 0.00e+00 7.37e+04 1.041875e+02 -1.991166e+01 After 1 iterations the fit converged. final sum of squares of residuals : 3518.56 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.49469 variance of residuals (reduced chisquare) = WSSR/ndf : 0.244718 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.188 +/- 0.004143 (0.003976%) b = -19.9117 +/- 3.781 (18.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Sat Feb 8 15:40:02 2025 FIT: data read from 'all_phase_space_at_55854_ns.dat_sorted' u 9:15 format = x:z #datapoints = 14380 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 6.6154573560e+06 0.00e+00 7.37e+01 1.041875e+02 -1.991166e+01 2 3.5109199446e+03 -3.25e-01 7.37e-01 8.274453e+01 -1.980200e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3510.92 rel. change during last iteration : -3.25243e-06 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.494153 variance of residuals (reduced chisquare) = WSSR/ndf : 0.244187 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7445 +/- 0.004138 (0.005001%) b = -19.802 +/- 3.777 (19.08%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Sat Feb 8 15:42:56 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:(abs($15) < 300 ?$15:1/0) format = x:z #datapoints = 14373 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 9.3077135081e+07 0.00e+00 5.85e+01 8.274453e+01 -1.980200e+01 4 2.8632488066e+03 -7.85e-02 5.85e-03 2.272305e+00 -1.049273e+01 After 4 iterations the fit converged. final sum of squares of residuals : 2863.25 rel. change during last iteration : -7.85265e-07 degrees of freedom (FIT_NDF) : 14371 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.446361 variance of residuals (reduced chisquare) = WSSR/ndf : 0.199238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27231 +/- 0.003737 (0.1645%) b = -10.4927 +/- 3.306 (31.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.087 1.000 ******************************************************************************* Sat Feb 8 15:57:05 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:($15 < 300 ?$15:1/0) format = x:z #datapoints = 14380 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 2.8463040961e+03 0.00e+00 1.61e+00 2.272305e+00 -1.049273e+01 1 2.8462861630e+03 -6.30e-01 1.61e-01 2.271345e+00 -1.020006e+01 After 1 iterations the fit converged. final sum of squares of residuals : 2846.29 rel. change during last iteration : -6.30053e-06 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444928 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197961 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27135 +/- 0.003726 (0.1641%) b = -10.2001 +/- 3.403 (33.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Sat Feb 8 15:57:51 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:15 format = x:z #datapoints = 14380 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 2.8462861630e+03 0.00e+00 1.61e+00 2.271345e+00 -1.020006e+01 1 2.8462843727e+03 -6.29e-02 1.61e-01 2.271328e+00 -1.003621e+01 After 1 iterations the fit converged. final sum of squares of residuals : 2846.28 rel. change during last iteration : -6.28975e-07 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444928 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197961 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27133 +/- 0.003726 (0.1641%) b = -10.0362 +/- 3.403 (33.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Sat Feb 8 15:58:57 2025 FIT: data read from 'all_phase_space_at_63303_ns.dat_sorted' u 9:15 format = x:z #datapoints = 14380 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 1.1959243596e+08 0.00e+00 1.61e+00 2.271328e+00 -1.003621e+01 3 3.5220011002e+03 -3.46e-03 1.61e-03 9.346621e+01 -1.940421e+01 After 3 iterations the fit converged. final sum of squares of residuals : 3522 rel. change during last iteration : -3.45561e-08 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.494932 variance of residuals (reduced chisquare) = WSSR/ndf : 0.244958 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4662 +/- 0.004145 (0.004434%) b = -19.4042 +/- 3.782 (19.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Sat Feb 8 16:02:29 2025 FIT: data read from 'all_phase_space_at_63303_ns.dat' u 9:15 format = x:z #datapoints = 14380 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 3.5215626217e+03 0.00e+00 6.61e+01 9.346621e+01 -1.940421e+01 1 3.5215626075e+03 -4.04e-04 6.61e+00 9.346624e+01 -1.940434e+01 After 1 iterations the fit converged. final sum of squares of residuals : 3521.56 rel. change during last iteration : -4.04413e-09 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.494901 variance of residuals (reduced chisquare) = WSSR/ndf : 0.244927 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4662 +/- 0.004144 (0.004434%) b = -19.4043 +/- 3.782 (19.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Sat Feb 8 16:03:51 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:15 format = x:z #datapoints = 14380 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 1.1959331397e+08 0.00e+00 6.61e+01 9.346624e+01 -1.940434e+01 4 2.8514418078e+03 -1.52e-01 6.61e-03 2.270783e+00 -1.030759e+01 After 4 iterations the fit converged. final sum of squares of residuals : 2851.44 rel. change during last iteration : -1.51823e-06 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445331 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19832 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27078 +/- 0.00373 (0.1642%) b = -10.3076 +/- 3.407 (33.05%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Mon Feb 10 12:52:45 2025 FIT: data read from 'all_phase_space_at_59585_ns.dat_sorted' u 9:15 format = x:z #datapoints = 14380 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 1.0912638334e+08 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 3.5233694178e+03 -8.20e-05 7.07e-05 8.811413e+01 -1.940554e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3523.37 rel. change during last iteration : -8.20074e-10 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.495028 variance of residuals (reduced chisquare) = WSSR/ndf : 0.245053 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1141 +/- 0.004145 (0.004705%) b = -19.4055 +/- 3.783 (19.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Mon Feb 10 12:53:15 2025 FIT: data read from 'all_phase_space_at_59585_ns.dat' u 9:15 format = x:z #datapoints = 14380 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 3.5202296980e+03 0.00e+00 6.23e+01 8.811413e+01 -1.940554e+01 1 3.5202292436e+03 -1.29e-02 6.23e+00 8.811431e+01 -1.940553e+01 After 1 iterations the fit converged. final sum of squares of residuals : 3520.23 rel. change during last iteration : -1.29086e-07 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.494807 variance of residuals (reduced chisquare) = WSSR/ndf : 0.244834 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1143 +/- 0.004144 (0.004703%) b = -19.4055 +/- 3.782 (19.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Mon Feb 10 12:54:25 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 9:15 format = x:z BREAK: No data to fit ******************************************************************************* Mon Feb 10 12:55:21 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 3:4 format = x:z #datapoints = 550 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 1.2862078019e+06 0.00e+00 6.23e+01 8.811431e+01 -1.940553e+01 5 8.8456478226e+00 -8.14e-03 6.23e-04 3.975462e+01 -1.374867e+01 After 5 iterations the fit converged. final sum of squares of residuals : 8.84565 rel. change during last iteration : -8.14225e-08 degrees of freedom (FIT_NDF) : 548 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.12705 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0161417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.7546 +/- 0.005479 (0.01378%) b = -13.7487 +/- 3.864 (28.11%) correlation matrix of the fit parameters: a b a 1.000 b -0.149 1.000 ******************************************************************************* Mon Feb 10 12:56:10 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 3:9 format = x:z #datapoints = 550 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 1.2941597822e+00 0.00e+00 2.81e+01 3.975462e+01 -1.374867e+01 2 1.2914976143e+00 -1.30e-02 2.81e-01 3.975682e+01 -1.375009e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.2915 rel. change during last iteration : -1.30322e-07 degrees of freedom (FIT_NDF) : 548 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0485463 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00235675 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.7568 +/- 0.002093 (0.005266%) b = -13.7501 +/- 1.477 (10.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.149 1.000 ******************************************************************************* Mon Feb 10 12:56:51 2025 FIT: data read from 'all_phase_space_at_59585_ns.dat' u 9:15 format = x:z #datapoints = 14380 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 3.3629594002e+07 0.00e+00 2.81e+01 3.975682e+01 -1.375009e+01 4 3.5202292434e+03 -4.41e-03 2.81e-03 8.811431e+01 -1.940222e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3520.23 rel. change during last iteration : -4.40674e-08 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.494807 variance of residuals (reduced chisquare) = WSSR/ndf : 0.244834 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1143 +/- 0.004144 (0.004703%) b = -19.4022 +/- 3.782 (19.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Mon Feb 10 12:58:15 2025 FIT: data read from 'spin_vs_momentum_2.6078E-05.dat' u 3:4 format = x:z #datapoints = 550 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 ******************************************************************************* Mon Feb 10 12:58:20 2025 FIT: data read from 'spin_vs_momentum_2.6078E-05.dat' u 3:4 format = x:z #datapoints = 550 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 1.2802519498e+06 0.00e+00 6.23e+01 8.811431e+01 -1.940222e+01 5 8.6744168550e+00 -6.03e-03 6.23e-04 3.986689e+01 -1.458433e+01 After 5 iterations the fit converged. final sum of squares of residuals : 8.67442 rel. change during last iteration : -6.02919e-08 degrees of freedom (FIT_NDF) : 548 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.125814 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0158292 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8669 +/- 0.005426 (0.01361%) b = -14.5843 +/- 3.827 (26.24%) correlation matrix of the fit parameters: a b a 1.000 b -0.149 1.000 ******************************************************************************* Mon Feb 10 13:37:50 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 3:4 format = x:z #datapoints = 550 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Mon Feb 10 13:37:56 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 3:4 format = x:z #datapoints = 550 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 8.2593228603e+05 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 5 8.8456478226e+00 -7.48e-07 7.07e-06 3.975462e+01 -1.374867e+01 After 5 iterations the fit converged. final sum of squares of residuals : 8.84565 rel. change during last iteration : -7.48124e-12 degrees of freedom (FIT_NDF) : 548 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.12705 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0161417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.7546 +/- 0.005479 (0.01378%) b = -13.7487 +/- 3.864 (28.11%) correlation matrix of the fit parameters: a b a 1.000 b -0.149 1.000 ******************************************************************************* Mon Feb 10 13:41:01 2025 FIT: data read from 'all_phase_space_at_26058_ns.dat' u 9:15 format = x:z #datapoints = 14380 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 3.7180025986e+03 0.00e+00 2.81e+01 3.975462e+01 -1.374867e+01 4 3.5629284375e+03 -5.36e-03 2.81e-03 3.985887e+01 -2.001818e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3562.93 rel. change during last iteration : -5.35745e-08 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.497799 variance of residuals (reduced chisquare) = WSSR/ndf : 0.247804 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8589 +/- 0.004169 (0.01046%) b = -20.0182 +/- 3.805 (19.01%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Mon Feb 10 13:41:16 2025 FIT: data read from 'spin_vs_momentum_2.6000E-05.dat' u 3:4 format = x:z #datapoints = 550 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 1.4714092071e+01 0.00e+00 2.82e+01 3.985887e+01 -2.001818e+01 5 8.8456478226e+00 -3.47e-05 2.82e-04 3.975462e+01 -1.374867e+01 After 5 iterations the fit converged. final sum of squares of residuals : 8.84565 rel. change during last iteration : -3.47105e-10 degrees of freedom (FIT_NDF) : 548 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.12705 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0161417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.7546 +/- 0.005479 (0.01378%) b = -13.7487 +/- 3.864 (28.11%) correlation matrix of the fit parameters: a b a 1.000 b -0.149 1.000 ******************************************************************************* Mon Feb 10 13:43:20 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:15 format = x:z #datapoints = 14380 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 2.0206920990e+07 0.00e+00 2.81e+01 3.975462e+01 -1.374867e+01 4 2.8514418078e+03 -2.02e-03 2.81e-03 2.270783e+00 -1.030726e+01 After 4 iterations the fit converged. final sum of squares of residuals : 2851.44 rel. change during last iteration : -2.02317e-08 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445331 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19832 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27078 +/- 0.00373 (0.1642%) b = -10.3073 +/- 3.407 (33.05%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Mon Feb 10 13:46:30 2025 FIT: data read from 'all_phase_space_at_26058_ns.dat' u 9:15 format = x:z #datapoints = 14380 residuals are weighted equally (unit weight) function used for fitting: f(x) fitted parameters initialized with current variable values ******************************************************************************* Mon Feb 10 13:46:38 2025 FIT: data read from 'all_phase_space_at_26058_ns.dat' u 9:15 format = x:z #datapoints = 14380 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 2.1715187121e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 3.5629284375e+03 -8.60e-05 7.07e-05 3.985887e+01 -2.001820e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3562.93 rel. change during last iteration : -8.60157e-10 degrees of freedom (FIT_NDF) : 14378 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.497799 variance of residuals (reduced chisquare) = WSSR/ndf : 0.247804 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8589 +/- 0.004169 (0.01046%) b = -20.0182 +/- 3.805 (19.01%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000