******************************************************************************* Wed Feb 19 15:14:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.1491114680e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.1758860146e+03 -1.53e-04 7.07e-05 2.274051e+00 -5.589542e+00 After 4 iterations the fit converged. final sum of squares of residuals : 1175.89 rel. change during last iteration : -1.53114e-09 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429682 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27405 +/- 0.00551 (0.2423%) b = -5.58954 +/- 4.736 (84.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Wed Feb 19 15:14:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8731164470e+05 0.00e+00 1.61e+00 2.274051e+00 -5.589542e+00 3 1.1974771520e+03 -5.73e-02 1.61e-03 7.679786e+00 -9.059277e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1197.48 rel. change during last iteration : -5.7291e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67979 +/- 0.005559 (0.07239%) b = -9.05928 +/- 4.774 (52.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 19 15:14:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8498940897e+05 0.00e+00 5.43e+00 7.679786e+00 -9.059277e+00 2 1.2005335669e+03 -1.56e-01 5.43e-02 1.305074e+01 -8.830977e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1200.53 rel. change during last iteration : -1.56073e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434162 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0507 +/- 0.005566 (0.04265%) b = -8.83098 +/- 4.78 (54.13%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 19 15:14:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8407604257e+05 0.00e+00 9.23e+00 1.305074e+01 -8.830977e+00 2 1.2192539784e+03 -5.38e-01 9.23e-02 1.840800e+01 -8.398141e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.25 rel. change during last iteration : -5.37595e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.408 +/- 0.00561 (0.03047%) b = -8.39814 +/- 4.818 (57.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8495972942e+05 0.00e+00 1.30e+01 1.840800e+01 -8.398141e+00 2 1.2192948239e+03 -2.00e-01 1.30e-01 2.377826e+01 -8.243191e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.29 rel. change during last iteration : -2.00337e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191442 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7783 +/- 0.00561 (0.02359%) b = -8.24319 +/- 4.819 (58.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8338080952e+05 0.00e+00 1.68e+01 2.377826e+01 -8.243191e+00 4 1.2056042579e+03 -5.71e-03 1.68e-03 2.912621e+01 -1.052752e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1205.6 rel. change during last iteration : -5.71409e-08 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1262 +/- 0.005579 (0.01915%) b = -10.5275 +/- 4.791 (45.51%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493897993e+05 0.00e+00 2.06e+01 2.912621e+01 -1.052752e+01 2 1.2053547238e+03 -9.39e-02 2.06e-01 3.449641e+01 -1.053070e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.35 rel. change during last iteration : -9.39478e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189253 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4964 +/- 0.005578 (0.01617%) b = -10.5307 +/- 4.79 (45.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373324499e+05 0.00e+00 2.44e+01 3.449641e+01 -1.053070e+01 2 1.2085455054e+03 -9.33e-02 2.44e-01 3.984891e+01 -1.053601e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.55 rel. change during last iteration : -9.32831e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8489 +/- 0.005586 (0.01402%) b = -10.536 +/- 4.797 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8486911907e+05 0.00e+00 2.82e+01 3.984891e+01 -1.053601e+01 2 1.2051984757e+03 -9.55e-02 2.82e-01 4.521809e+01 -1.052422e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.2 rel. change during last iteration : -9.55268e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435004 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2181 +/- 0.005578 (0.01234%) b = -10.5242 +/- 4.791 (45.52%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:36 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373198089e+05 0.00e+00 3.20e+01 4.521809e+01 -1.052422e+01 2 1.2084638871e+03 -9.36e-02 3.20e-01 5.057058e+01 -1.053019e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.46 rel. change during last iteration : -9.3583e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435593 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189742 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5706 +/- 0.005585 (0.01104%) b = -10.5302 +/- 4.796 (45.55%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:36 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8481308763e+05 0.00e+00 3.58e+01 5.057058e+01 -1.053019e+01 2 1.2095205401e+03 -1.33e-01 3.58e-01 5.593887e+01 -1.048473e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.52 rel. change during last iteration : -1.33345e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435784 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189907 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9389 +/- 0.005588 (0.009989%) b = -10.4847 +/- 4.799 (45.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8379558290e+05 0.00e+00 3.96e+01 5.593887e+01 -1.048473e+01 2 1.2097858126e+03 -9.45e-02 3.96e-01 6.129227e+01 -1.049289e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.79 rel. change during last iteration : -9.45404e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189949 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2923 +/- 0.005589 (0.009118%) b = -10.4929 +/- 4.799 (45.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8494774412e+05 0.00e+00 4.33e+01 6.129227e+01 -1.049289e+01 2 1.2102577083e+03 -9.47e-02 4.33e-01 6.666253e+01 -1.049931e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1210.26 rel. change during last iteration : -9.46718e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6625 +/- 0.00559 (0.008385%) b = -10.4993 +/- 4.8 (45.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351448076e+05 0.00e+00 4.71e+01 6.666253e+01 -1.049931e+01 2 1.1995504392e+03 -9.79e-02 4.71e-01 7.201196e+01 -1.051055e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.55 rel. change during last iteration : -9.78686e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.012 +/- 0.005565 (0.007728%) b = -10.5106 +/- 4.779 (45.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493005777e+05 0.00e+00 5.09e+01 7.201196e+01 -1.051055e+01 2 1.1993037804e+03 -1.01e-01 5.09e-01 7.738212e+01 -1.052387e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.3 rel. change during last iteration : -1.01287e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3821 +/- 0.005564 (0.007191%) b = -10.5239 +/- 4.779 (45.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8365719427e+05 0.00e+00 5.47e+01 7.738212e+01 -1.052387e+01 2 1.2000257641e+03 -9.70e-02 5.47e-01 8.273364e+01 -1.053248e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.03 rel. change during last iteration : -9.69725e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7336 +/- 0.005566 (0.006728%) b = -10.5325 +/- 4.78 (45.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493383925e+05 0.00e+00 5.85e+01 8.273364e+01 -1.053248e+01 2 1.1999000441e+03 -9.76e-02 5.85e-01 8.810385e+01 -1.054052e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.9 rel. change during last iteration : -9.76192e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434047 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1038 +/- 0.005566 (0.006317%) b = -10.5405 +/- 4.78 (45.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351815534e+05 0.00e+00 6.23e+01 8.810385e+01 -1.054052e+01 2 1.2000088332e+03 -1.00e-01 6.23e-01 9.345332e+01 -1.052983e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.01 rel. change during last iteration : -1.00139e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434067 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188414 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4533 +/- 0.005566 (0.005956%) b = -10.5298 +/- 4.78 (45.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8506521988e+05 0.00e+00 6.61e+01 9.345332e+01 -1.052983e+01 2 1.1995643984e+03 -9.69e-02 6.61e-01 9.882545e+01 -1.053602e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.56 rel. change during last iteration : -9.68967e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433986 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8254 +/- 0.005565 (0.005631%) b = -10.536 +/- 4.779 (45.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373601224e+05 0.00e+00 6.99e+01 9.882545e+01 -1.053602e+01 2 1.2052580212e+03 -1.08e-01 6.99e-01 1.041780e+02 -1.052181e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.26 rel. change during last iteration : -1.07807e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005578 (0.005354%) b = -10.5218 +/- 4.79 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:14:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 4887 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 1.4179656832e+05 0.00e+00 7.37e+01 1.041780e+02 -1.052181e+01 2 9.7660722646e+02 -2.13e-01 7.37e-01 1.095460e+02 -1.049667e+01 After 2 iterations the fit converged. final sum of squares of residuals : 976.607 rel. change during last iteration : -2.13103e-06 degrees of freedom (FIT_NDF) : 4885 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447124 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19992 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.546 +/- 0.008391 (0.00766%) b = -10.4967 +/- 7.664 (73.02%) correlation matrix of the fit parameters: a b a 1.000 b -0.647 1.000 ******************************************************************************* Wed Feb 19 15:25:27 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.1491114680e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.1758860146e+03 -1.53e-04 7.07e-05 2.274051e+00 -5.589542e+00 After 4 iterations the fit converged. final sum of squares of residuals : 1175.89 rel. change during last iteration : -1.53114e-09 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429682 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27405 +/- 0.00551 (0.2423%) b = -5.58954 +/- 4.736 (84.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Wed Feb 19 15:25:28 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8731164470e+05 0.00e+00 1.61e+00 2.274051e+00 -5.589542e+00 3 1.1974771520e+03 -5.73e-02 1.61e-03 7.679786e+00 -9.059277e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1197.48 rel. change during last iteration : -5.7291e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67979 +/- 0.005559 (0.07239%) b = -9.05928 +/- 4.774 (52.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 19 15:25:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8498940897e+05 0.00e+00 5.43e+00 7.679786e+00 -9.059277e+00 2 1.2005335669e+03 -1.56e-01 5.43e-02 1.305074e+01 -8.830977e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1200.53 rel. change during last iteration : -1.56073e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434162 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0507 +/- 0.005566 (0.04265%) b = -8.83098 +/- 4.78 (54.13%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 19 15:25:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8407604257e+05 0.00e+00 9.23e+00 1.305074e+01 -8.830977e+00 2 1.2192539784e+03 -5.38e-01 9.23e-02 1.840800e+01 -8.398141e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.25 rel. change during last iteration : -5.37595e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.408 +/- 0.00561 (0.03047%) b = -8.39814 +/- 4.818 (57.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8495972942e+05 0.00e+00 1.30e+01 1.840800e+01 -8.398141e+00 2 1.2192948239e+03 -2.00e-01 1.30e-01 2.377826e+01 -8.243191e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.29 rel. change during last iteration : -2.00337e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191442 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7783 +/- 0.00561 (0.02359%) b = -8.24319 +/- 4.819 (58.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:30 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8338080952e+05 0.00e+00 1.68e+01 2.377826e+01 -8.243191e+00 4 1.2056042579e+03 -5.71e-03 1.68e-03 2.912621e+01 -1.052752e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1205.6 rel. change during last iteration : -5.71409e-08 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1262 +/- 0.005579 (0.01915%) b = -10.5275 +/- 4.791 (45.51%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:30 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493897993e+05 0.00e+00 2.06e+01 2.912621e+01 -1.052752e+01 2 1.2053547238e+03 -9.39e-02 2.06e-01 3.449641e+01 -1.053070e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.35 rel. change during last iteration : -9.39478e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189253 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4964 +/- 0.005578 (0.01617%) b = -10.5307 +/- 4.79 (45.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373324499e+05 0.00e+00 2.44e+01 3.449641e+01 -1.053070e+01 2 1.2085455054e+03 -9.33e-02 2.44e-01 3.984891e+01 -1.053601e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.55 rel. change during last iteration : -9.32831e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8489 +/- 0.005586 (0.01402%) b = -10.536 +/- 4.797 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8486911907e+05 0.00e+00 2.82e+01 3.984891e+01 -1.053601e+01 2 1.2051984757e+03 -9.55e-02 2.82e-01 4.521809e+01 -1.052422e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.2 rel. change during last iteration : -9.55268e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435004 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2181 +/- 0.005578 (0.01234%) b = -10.5242 +/- 4.791 (45.52%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373198089e+05 0.00e+00 3.20e+01 4.521809e+01 -1.052422e+01 2 1.2084638871e+03 -9.36e-02 3.20e-01 5.057058e+01 -1.053019e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.46 rel. change during last iteration : -9.3583e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435593 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189742 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5706 +/- 0.005585 (0.01104%) b = -10.5302 +/- 4.796 (45.55%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8481308763e+05 0.00e+00 3.58e+01 5.057058e+01 -1.053019e+01 2 1.2095205401e+03 -1.33e-01 3.58e-01 5.593887e+01 -1.048473e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.52 rel. change during last iteration : -1.33345e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435784 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189907 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9389 +/- 0.005588 (0.009989%) b = -10.4847 +/- 4.799 (45.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8379558290e+05 0.00e+00 3.96e+01 5.593887e+01 -1.048473e+01 2 1.2097858126e+03 -9.45e-02 3.96e-01 6.129227e+01 -1.049289e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.79 rel. change during last iteration : -9.45404e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189949 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2923 +/- 0.005589 (0.009118%) b = -10.4929 +/- 4.799 (45.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8494774412e+05 0.00e+00 4.33e+01 6.129227e+01 -1.049289e+01 2 1.2102577083e+03 -9.47e-02 4.33e-01 6.666253e+01 -1.049931e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1210.26 rel. change during last iteration : -9.46718e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6625 +/- 0.00559 (0.008385%) b = -10.4993 +/- 4.8 (45.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351448076e+05 0.00e+00 4.71e+01 6.666253e+01 -1.049931e+01 2 1.1995504392e+03 -9.79e-02 4.71e-01 7.201196e+01 -1.051055e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.55 rel. change during last iteration : -9.78686e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.012 +/- 0.005565 (0.007728%) b = -10.5106 +/- 4.779 (45.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493005777e+05 0.00e+00 5.09e+01 7.201196e+01 -1.051055e+01 2 1.1993037804e+03 -1.01e-01 5.09e-01 7.738212e+01 -1.052387e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.3 rel. change during last iteration : -1.01287e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3821 +/- 0.005564 (0.007191%) b = -10.5239 +/- 4.779 (45.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:34 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8365719427e+05 0.00e+00 5.47e+01 7.738212e+01 -1.052387e+01 2 1.2000257641e+03 -9.70e-02 5.47e-01 8.273364e+01 -1.053248e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.03 rel. change during last iteration : -9.69725e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7336 +/- 0.005566 (0.006728%) b = -10.5325 +/- 4.78 (45.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493383925e+05 0.00e+00 5.85e+01 8.273364e+01 -1.053248e+01 2 1.1999000441e+03 -9.76e-02 5.85e-01 8.810385e+01 -1.054052e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.9 rel. change during last iteration : -9.76192e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434047 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1038 +/- 0.005566 (0.006317%) b = -10.5405 +/- 4.78 (45.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351815534e+05 0.00e+00 6.23e+01 8.810385e+01 -1.054052e+01 2 1.2000088332e+03 -1.00e-01 6.23e-01 9.345332e+01 -1.052983e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.01 rel. change during last iteration : -1.00139e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434067 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188414 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4533 +/- 0.005566 (0.005956%) b = -10.5298 +/- 4.78 (45.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:36 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8506521988e+05 0.00e+00 6.61e+01 9.345332e+01 -1.052983e+01 2 1.1995643984e+03 -9.69e-02 6.61e-01 9.882545e+01 -1.053602e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.56 rel. change during last iteration : -9.68967e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433986 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8254 +/- 0.005565 (0.005631%) b = -10.536 +/- 4.779 (45.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:36 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373601224e+05 0.00e+00 6.99e+01 9.882545e+01 -1.053602e+01 2 1.2052580212e+03 -1.08e-01 6.99e-01 1.041780e+02 -1.052181e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.26 rel. change during last iteration : -1.07807e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005578 (0.005354%) b = -10.5218 +/- 4.79 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:25:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 4887 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 1.4179656832e+05 0.00e+00 7.37e+01 1.041780e+02 -1.052181e+01 2 9.7660722646e+02 -2.13e-01 7.37e-01 1.095460e+02 -1.049667e+01 After 2 iterations the fit converged. final sum of squares of residuals : 976.607 rel. change during last iteration : -2.13103e-06 degrees of freedom (FIT_NDF) : 4885 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447124 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19992 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.546 +/- 0.008391 (0.00766%) b = -10.4967 +/- 7.664 (73.02%) correlation matrix of the fit parameters: a b a 1.000 b -0.647 1.000 ******************************************************************************* Wed Feb 19 15:26:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.1491114680e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.1758860146e+03 -1.53e-04 7.07e-05 2.274051e+00 -5.589542e+00 After 4 iterations the fit converged. final sum of squares of residuals : 1175.89 rel. change during last iteration : -1.53114e-09 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429682 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27405 +/- 0.00551 (0.2423%) b = -5.58954 +/- 4.736 (84.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Wed Feb 19 15:26:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8731164470e+05 0.00e+00 1.61e+00 2.274051e+00 -5.589542e+00 3 1.1974771520e+03 -5.73e-02 1.61e-03 7.679786e+00 -9.059277e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1197.48 rel. change during last iteration : -5.7291e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67979 +/- 0.005559 (0.07239%) b = -9.05928 +/- 4.774 (52.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 19 15:26:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8498940897e+05 0.00e+00 5.43e+00 7.679786e+00 -9.059277e+00 2 1.2005335669e+03 -1.56e-01 5.43e-02 1.305074e+01 -8.830977e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1200.53 rel. change during last iteration : -1.56073e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434162 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0507 +/- 0.005566 (0.04265%) b = -8.83098 +/- 4.78 (54.13%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 19 15:26:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8407604257e+05 0.00e+00 9.23e+00 1.305074e+01 -8.830977e+00 2 1.2192539784e+03 -5.38e-01 9.23e-02 1.840800e+01 -8.398141e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.25 rel. change during last iteration : -5.37595e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.408 +/- 0.00561 (0.03047%) b = -8.39814 +/- 4.818 (57.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8495972942e+05 0.00e+00 1.30e+01 1.840800e+01 -8.398141e+00 2 1.2192948239e+03 -2.00e-01 1.30e-01 2.377826e+01 -8.243191e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.29 rel. change during last iteration : -2.00337e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191442 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7783 +/- 0.00561 (0.02359%) b = -8.24319 +/- 4.819 (58.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8338080952e+05 0.00e+00 1.68e+01 2.377826e+01 -8.243191e+00 4 1.2056042579e+03 -5.71e-03 1.68e-03 2.912621e+01 -1.052752e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1205.6 rel. change during last iteration : -5.71409e-08 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1262 +/- 0.005579 (0.01915%) b = -10.5275 +/- 4.791 (45.51%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493897993e+05 0.00e+00 2.06e+01 2.912621e+01 -1.052752e+01 2 1.2053547238e+03 -9.39e-02 2.06e-01 3.449641e+01 -1.053070e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.35 rel. change during last iteration : -9.39478e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189253 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4964 +/- 0.005578 (0.01617%) b = -10.5307 +/- 4.79 (45.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373324499e+05 0.00e+00 2.44e+01 3.449641e+01 -1.053070e+01 2 1.2085455054e+03 -9.33e-02 2.44e-01 3.984891e+01 -1.053601e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.55 rel. change during last iteration : -9.32831e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8489 +/- 0.005586 (0.01402%) b = -10.536 +/- 4.797 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8486911907e+05 0.00e+00 2.82e+01 3.984891e+01 -1.053601e+01 2 1.2051984757e+03 -9.55e-02 2.82e-01 4.521809e+01 -1.052422e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.2 rel. change during last iteration : -9.55268e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435004 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2181 +/- 0.005578 (0.01234%) b = -10.5242 +/- 4.791 (45.52%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373198089e+05 0.00e+00 3.20e+01 4.521809e+01 -1.052422e+01 2 1.2084638871e+03 -9.36e-02 3.20e-01 5.057058e+01 -1.053019e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.46 rel. change during last iteration : -9.3583e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435593 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189742 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5706 +/- 0.005585 (0.01104%) b = -10.5302 +/- 4.796 (45.55%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8481308763e+05 0.00e+00 3.58e+01 5.057058e+01 -1.053019e+01 2 1.2095205401e+03 -1.33e-01 3.58e-01 5.593887e+01 -1.048473e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.52 rel. change during last iteration : -1.33345e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435784 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189907 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9389 +/- 0.005588 (0.009989%) b = -10.4847 +/- 4.799 (45.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8379558290e+05 0.00e+00 3.96e+01 5.593887e+01 -1.048473e+01 2 1.2097858126e+03 -9.45e-02 3.96e-01 6.129227e+01 -1.049289e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.79 rel. change during last iteration : -9.45404e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189949 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2923 +/- 0.005589 (0.009118%) b = -10.4929 +/- 4.799 (45.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8494774412e+05 0.00e+00 4.33e+01 6.129227e+01 -1.049289e+01 2 1.2102577083e+03 -9.47e-02 4.33e-01 6.666253e+01 -1.049931e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1210.26 rel. change during last iteration : -9.46718e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6625 +/- 0.00559 (0.008385%) b = -10.4993 +/- 4.8 (45.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351448076e+05 0.00e+00 4.71e+01 6.666253e+01 -1.049931e+01 2 1.1995504392e+03 -9.79e-02 4.71e-01 7.201196e+01 -1.051055e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.55 rel. change during last iteration : -9.78686e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.012 +/- 0.005565 (0.007728%) b = -10.5106 +/- 4.779 (45.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:49 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493005777e+05 0.00e+00 5.09e+01 7.201196e+01 -1.051055e+01 2 1.1993037804e+03 -1.01e-01 5.09e-01 7.738212e+01 -1.052387e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.3 rel. change during last iteration : -1.01287e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3821 +/- 0.005564 (0.007191%) b = -10.5239 +/- 4.779 (45.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:49 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8365719427e+05 0.00e+00 5.47e+01 7.738212e+01 -1.052387e+01 2 1.2000257641e+03 -9.70e-02 5.47e-01 8.273364e+01 -1.053248e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.03 rel. change during last iteration : -9.69725e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7336 +/- 0.005566 (0.006728%) b = -10.5325 +/- 4.78 (45.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:49 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493383925e+05 0.00e+00 5.85e+01 8.273364e+01 -1.053248e+01 2 1.1999000441e+03 -9.76e-02 5.85e-01 8.810385e+01 -1.054052e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.9 rel. change during last iteration : -9.76192e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434047 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1038 +/- 0.005566 (0.006317%) b = -10.5405 +/- 4.78 (45.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:50 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351815534e+05 0.00e+00 6.23e+01 8.810385e+01 -1.054052e+01 2 1.2000088332e+03 -1.00e-01 6.23e-01 9.345332e+01 -1.052983e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.01 rel. change during last iteration : -1.00139e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434067 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188414 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4533 +/- 0.005566 (0.005956%) b = -10.5298 +/- 4.78 (45.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:50 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8506521988e+05 0.00e+00 6.61e+01 9.345332e+01 -1.052983e+01 2 1.1995643984e+03 -9.69e-02 6.61e-01 9.882545e+01 -1.053602e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.56 rel. change during last iteration : -9.68967e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433986 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8254 +/- 0.005565 (0.005631%) b = -10.536 +/- 4.779 (45.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:51 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373601224e+05 0.00e+00 6.99e+01 9.882545e+01 -1.053602e+01 2 1.2052580212e+03 -1.08e-01 6.99e-01 1.041780e+02 -1.052181e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.26 rel. change during last iteration : -1.07807e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005578 (0.005354%) b = -10.5218 +/- 4.79 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:26:51 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 4887 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 1.4179656832e+05 0.00e+00 7.37e+01 1.041780e+02 -1.052181e+01 2 9.7660722646e+02 -2.13e-01 7.37e-01 1.095460e+02 -1.049667e+01 After 2 iterations the fit converged. final sum of squares of residuals : 976.607 rel. change during last iteration : -2.13103e-06 degrees of freedom (FIT_NDF) : 4885 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447124 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19992 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.546 +/- 0.008391 (0.00766%) b = -10.4967 +/- 7.664 (73.02%) correlation matrix of the fit parameters: a b a 1.000 b -0.647 1.000 ******************************************************************************* Wed Feb 19 15:28:14 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.1491114680e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.1758860146e+03 -1.53e-04 7.07e-05 2.274051e+00 -5.589542e+00 After 4 iterations the fit converged. final sum of squares of residuals : 1175.89 rel. change during last iteration : -1.53114e-09 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429682 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27405 +/- 0.00551 (0.2423%) b = -5.58954 +/- 4.736 (84.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Wed Feb 19 15:28:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8731164470e+05 0.00e+00 1.61e+00 2.274051e+00 -5.589542e+00 3 1.1974771520e+03 -5.73e-02 1.61e-03 7.679786e+00 -9.059277e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1197.48 rel. change during last iteration : -5.7291e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67979 +/- 0.005559 (0.07239%) b = -9.05928 +/- 4.774 (52.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 19 15:28:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8498940897e+05 0.00e+00 5.43e+00 7.679786e+00 -9.059277e+00 2 1.2005335669e+03 -1.56e-01 5.43e-02 1.305074e+01 -8.830977e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1200.53 rel. change during last iteration : -1.56073e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434162 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0507 +/- 0.005566 (0.04265%) b = -8.83098 +/- 4.78 (54.13%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 19 15:28:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8407604257e+05 0.00e+00 9.23e+00 1.305074e+01 -8.830977e+00 2 1.2192539784e+03 -5.38e-01 9.23e-02 1.840800e+01 -8.398141e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.25 rel. change during last iteration : -5.37595e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.408 +/- 0.00561 (0.03047%) b = -8.39814 +/- 4.818 (57.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8495972942e+05 0.00e+00 1.30e+01 1.840800e+01 -8.398141e+00 2 1.2192948239e+03 -2.00e-01 1.30e-01 2.377826e+01 -8.243191e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.29 rel. change during last iteration : -2.00337e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191442 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7783 +/- 0.00561 (0.02359%) b = -8.24319 +/- 4.819 (58.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8338080952e+05 0.00e+00 1.68e+01 2.377826e+01 -8.243191e+00 4 1.2056042579e+03 -5.71e-03 1.68e-03 2.912621e+01 -1.052752e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1205.6 rel. change during last iteration : -5.71409e-08 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1262 +/- 0.005579 (0.01915%) b = -10.5275 +/- 4.791 (45.51%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493897993e+05 0.00e+00 2.06e+01 2.912621e+01 -1.052752e+01 2 1.2053547238e+03 -9.39e-02 2.06e-01 3.449641e+01 -1.053070e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.35 rel. change during last iteration : -9.39478e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189253 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4964 +/- 0.005578 (0.01617%) b = -10.5307 +/- 4.79 (45.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373324499e+05 0.00e+00 2.44e+01 3.449641e+01 -1.053070e+01 2 1.2085455054e+03 -9.33e-02 2.44e-01 3.984891e+01 -1.053601e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.55 rel. change during last iteration : -9.32831e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8489 +/- 0.005586 (0.01402%) b = -10.536 +/- 4.797 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:18 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8486911907e+05 0.00e+00 2.82e+01 3.984891e+01 -1.053601e+01 2 1.2051984757e+03 -9.55e-02 2.82e-01 4.521809e+01 -1.052422e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.2 rel. change during last iteration : -9.55268e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435004 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2181 +/- 0.005578 (0.01234%) b = -10.5242 +/- 4.791 (45.52%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:18 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373198089e+05 0.00e+00 3.20e+01 4.521809e+01 -1.052422e+01 2 1.2084638871e+03 -9.36e-02 3.20e-01 5.057058e+01 -1.053019e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.46 rel. change during last iteration : -9.3583e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435593 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189742 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5706 +/- 0.005585 (0.01104%) b = -10.5302 +/- 4.796 (45.55%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8481308763e+05 0.00e+00 3.58e+01 5.057058e+01 -1.053019e+01 2 1.2095205401e+03 -1.33e-01 3.58e-01 5.593887e+01 -1.048473e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.52 rel. change during last iteration : -1.33345e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435784 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189907 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9389 +/- 0.005588 (0.009989%) b = -10.4847 +/- 4.799 (45.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8379558290e+05 0.00e+00 3.96e+01 5.593887e+01 -1.048473e+01 2 1.2097858126e+03 -9.45e-02 3.96e-01 6.129227e+01 -1.049289e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.79 rel. change during last iteration : -9.45404e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189949 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2923 +/- 0.005589 (0.009118%) b = -10.4929 +/- 4.799 (45.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8494774412e+05 0.00e+00 4.33e+01 6.129227e+01 -1.049289e+01 2 1.2102577083e+03 -9.47e-02 4.33e-01 6.666253e+01 -1.049931e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1210.26 rel. change during last iteration : -9.46718e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6625 +/- 0.00559 (0.008385%) b = -10.4993 +/- 4.8 (45.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351448076e+05 0.00e+00 4.71e+01 6.666253e+01 -1.049931e+01 2 1.1995504392e+03 -9.79e-02 4.71e-01 7.201196e+01 -1.051055e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.55 rel. change during last iteration : -9.78686e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.012 +/- 0.005565 (0.007728%) b = -10.5106 +/- 4.779 (45.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493005777e+05 0.00e+00 5.09e+01 7.201196e+01 -1.051055e+01 2 1.1993037804e+03 -1.01e-01 5.09e-01 7.738212e+01 -1.052387e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.3 rel. change during last iteration : -1.01287e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3821 +/- 0.005564 (0.007191%) b = -10.5239 +/- 4.779 (45.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8365719427e+05 0.00e+00 5.47e+01 7.738212e+01 -1.052387e+01 2 1.2000257641e+03 -9.70e-02 5.47e-01 8.273364e+01 -1.053248e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.03 rel. change during last iteration : -9.69725e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7336 +/- 0.005566 (0.006728%) b = -10.5325 +/- 4.78 (45.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493383925e+05 0.00e+00 5.85e+01 8.273364e+01 -1.053248e+01 2 1.1999000441e+03 -9.76e-02 5.85e-01 8.810385e+01 -1.054052e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.9 rel. change during last iteration : -9.76192e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434047 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1038 +/- 0.005566 (0.006317%) b = -10.5405 +/- 4.78 (45.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351815534e+05 0.00e+00 6.23e+01 8.810385e+01 -1.054052e+01 2 1.2000088332e+03 -1.00e-01 6.23e-01 9.345332e+01 -1.052983e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.01 rel. change during last iteration : -1.00139e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434067 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188414 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4533 +/- 0.005566 (0.005956%) b = -10.5298 +/- 4.78 (45.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8506521988e+05 0.00e+00 6.61e+01 9.345332e+01 -1.052983e+01 2 1.1995643984e+03 -9.69e-02 6.61e-01 9.882545e+01 -1.053602e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.56 rel. change during last iteration : -9.68967e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433986 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8254 +/- 0.005565 (0.005631%) b = -10.536 +/- 4.779 (45.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:23 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373601224e+05 0.00e+00 6.99e+01 9.882545e+01 -1.053602e+01 2 1.2052580212e+03 -1.08e-01 6.99e-01 1.041780e+02 -1.052181e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.26 rel. change during last iteration : -1.07807e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005578 (0.005354%) b = -10.5218 +/- 4.79 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 19 15:28:23 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 4887 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 1.4179656832e+05 0.00e+00 7.37e+01 1.041780e+02 -1.052181e+01 2 9.7660722646e+02 -2.13e-01 7.37e-01 1.095460e+02 -1.049667e+01 After 2 iterations the fit converged. final sum of squares of residuals : 976.607 rel. change during last iteration : -2.13103e-06 degrees of freedom (FIT_NDF) : 4885 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447124 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19992 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.546 +/- 0.008391 (0.00766%) b = -10.4967 +/- 7.664 (73.02%) correlation matrix of the fit parameters: a b a 1.000 b -0.647 1.000 ******************************************************************************* Sat Feb 22 10:05:18 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.1491114680e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.1758860146e+03 -1.53e-04 7.07e-05 2.274051e+00 -5.589542e+00 After 4 iterations the fit converged. final sum of squares of residuals : 1175.89 rel. change during last iteration : -1.53114e-09 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429682 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27405 +/- 0.00551 (0.2423%) b = -5.58954 +/- 4.736 (84.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Sat Feb 22 10:05:18 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8731164470e+05 0.00e+00 1.61e+00 2.274051e+00 -5.589542e+00 3 1.1974771520e+03 -5.73e-02 1.61e-03 7.679786e+00 -9.059277e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1197.48 rel. change during last iteration : -5.7291e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67979 +/- 0.005559 (0.07239%) b = -9.05928 +/- 4.774 (52.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Sat Feb 22 10:05:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8498940897e+05 0.00e+00 5.43e+00 7.679786e+00 -9.059277e+00 2 1.2005335669e+03 -1.56e-01 5.43e-02 1.305074e+01 -8.830977e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1200.53 rel. change during last iteration : -1.56073e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434162 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0507 +/- 0.005566 (0.04265%) b = -8.83098 +/- 4.78 (54.13%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Sat Feb 22 10:05:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8407604257e+05 0.00e+00 9.23e+00 1.305074e+01 -8.830977e+00 2 1.2192539784e+03 -5.38e-01 9.23e-02 1.840800e+01 -8.398141e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.25 rel. change during last iteration : -5.37595e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.408 +/- 0.00561 (0.03047%) b = -8.39814 +/- 4.818 (57.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8495972942e+05 0.00e+00 1.30e+01 1.840800e+01 -8.398141e+00 2 1.2192948239e+03 -2.00e-01 1.30e-01 2.377826e+01 -8.243191e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.29 rel. change during last iteration : -2.00337e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191442 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7783 +/- 0.00561 (0.02359%) b = -8.24319 +/- 4.819 (58.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8338080952e+05 0.00e+00 1.68e+01 2.377826e+01 -8.243191e+00 4 1.2056042579e+03 -5.71e-03 1.68e-03 2.912621e+01 -1.052752e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1205.6 rel. change during last iteration : -5.71409e-08 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1262 +/- 0.005579 (0.01915%) b = -10.5275 +/- 4.791 (45.51%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493897993e+05 0.00e+00 2.06e+01 2.912621e+01 -1.052752e+01 2 1.2053547238e+03 -9.39e-02 2.06e-01 3.449641e+01 -1.053070e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.35 rel. change during last iteration : -9.39478e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189253 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4964 +/- 0.005578 (0.01617%) b = -10.5307 +/- 4.79 (45.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373324499e+05 0.00e+00 2.44e+01 3.449641e+01 -1.053070e+01 2 1.2085455054e+03 -9.33e-02 2.44e-01 3.984891e+01 -1.053601e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.55 rel. change during last iteration : -9.32831e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8489 +/- 0.005586 (0.01402%) b = -10.536 +/- 4.797 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8486911907e+05 0.00e+00 2.82e+01 3.984891e+01 -1.053601e+01 2 1.2051984757e+03 -9.55e-02 2.82e-01 4.521809e+01 -1.052422e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.2 rel. change during last iteration : -9.55268e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435004 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2181 +/- 0.005578 (0.01234%) b = -10.5242 +/- 4.791 (45.52%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373198089e+05 0.00e+00 3.20e+01 4.521809e+01 -1.052422e+01 2 1.2084638871e+03 -9.36e-02 3.20e-01 5.057058e+01 -1.053019e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.46 rel. change during last iteration : -9.3583e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435593 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189742 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5706 +/- 0.005585 (0.01104%) b = -10.5302 +/- 4.796 (45.55%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8481308763e+05 0.00e+00 3.58e+01 5.057058e+01 -1.053019e+01 2 1.2095205401e+03 -1.33e-01 3.58e-01 5.593887e+01 -1.048473e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.52 rel. change during last iteration : -1.33345e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435784 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189907 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9389 +/- 0.005588 (0.009989%) b = -10.4847 +/- 4.799 (45.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:23 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8379558290e+05 0.00e+00 3.96e+01 5.593887e+01 -1.048473e+01 2 1.2097858126e+03 -9.45e-02 3.96e-01 6.129227e+01 -1.049289e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.79 rel. change during last iteration : -9.45404e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189949 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2923 +/- 0.005589 (0.009118%) b = -10.4929 +/- 4.799 (45.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:23 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8494774412e+05 0.00e+00 4.33e+01 6.129227e+01 -1.049289e+01 2 1.2102577083e+03 -9.47e-02 4.33e-01 6.666253e+01 -1.049931e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1210.26 rel. change during last iteration : -9.46718e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6625 +/- 0.00559 (0.008385%) b = -10.4993 +/- 4.8 (45.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:24 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351448076e+05 0.00e+00 4.71e+01 6.666253e+01 -1.049931e+01 2 1.1995504392e+03 -9.79e-02 4.71e-01 7.201196e+01 -1.051055e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.55 rel. change during last iteration : -9.78686e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.012 +/- 0.005565 (0.007728%) b = -10.5106 +/- 4.779 (45.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:24 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493005777e+05 0.00e+00 5.09e+01 7.201196e+01 -1.051055e+01 2 1.1993037804e+03 -1.01e-01 5.09e-01 7.738212e+01 -1.052387e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.3 rel. change during last iteration : -1.01287e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3821 +/- 0.005564 (0.007191%) b = -10.5239 +/- 4.779 (45.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:24 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8365719427e+05 0.00e+00 5.47e+01 7.738212e+01 -1.052387e+01 2 1.2000257641e+03 -9.70e-02 5.47e-01 8.273364e+01 -1.053248e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.03 rel. change during last iteration : -9.69725e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7336 +/- 0.005566 (0.006728%) b = -10.5325 +/- 4.78 (45.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:25 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493383925e+05 0.00e+00 5.85e+01 8.273364e+01 -1.053248e+01 2 1.1999000441e+03 -9.76e-02 5.85e-01 8.810385e+01 -1.054052e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.9 rel. change during last iteration : -9.76192e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434047 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1038 +/- 0.005566 (0.006317%) b = -10.5405 +/- 4.78 (45.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:25 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351815534e+05 0.00e+00 6.23e+01 8.810385e+01 -1.054052e+01 2 1.2000088332e+03 -1.00e-01 6.23e-01 9.345332e+01 -1.052983e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.01 rel. change during last iteration : -1.00139e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434067 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188414 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4533 +/- 0.005566 (0.005956%) b = -10.5298 +/- 4.78 (45.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:26 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8506521988e+05 0.00e+00 6.61e+01 9.345332e+01 -1.052983e+01 2 1.1995643984e+03 -9.69e-02 6.61e-01 9.882545e+01 -1.053602e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.56 rel. change during last iteration : -9.68967e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433986 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8254 +/- 0.005565 (0.005631%) b = -10.536 +/- 4.779 (45.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:26 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373601224e+05 0.00e+00 6.99e+01 9.882545e+01 -1.053602e+01 2 1.2052580212e+03 -1.08e-01 6.99e-01 1.041780e+02 -1.052181e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.26 rel. change during last iteration : -1.07807e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005578 (0.005354%) b = -10.5218 +/- 4.79 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:05:27 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 4887 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 1.4179656832e+05 0.00e+00 7.37e+01 1.041780e+02 -1.052181e+01 2 9.7660722646e+02 -2.13e-01 7.37e-01 1.095460e+02 -1.049667e+01 After 2 iterations the fit converged. final sum of squares of residuals : 976.607 rel. change during last iteration : -2.13103e-06 degrees of freedom (FIT_NDF) : 4885 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447124 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19992 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.546 +/- 0.008391 (0.00766%) b = -10.4967 +/- 7.664 (73.02%) correlation matrix of the fit parameters: a b a 1.000 b -0.647 1.000 ******************************************************************************* Sat Feb 22 10:06:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.1491114680e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.1758860146e+03 -1.53e-04 7.07e-05 2.274051e+00 -5.589542e+00 After 4 iterations the fit converged. final sum of squares of residuals : 1175.89 rel. change during last iteration : -1.53114e-09 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.429682 variance of residuals (reduced chisquare) = WSSR/ndf : 0.184626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27405 +/- 0.00551 (0.2423%) b = -5.58954 +/- 4.736 (84.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Sat Feb 22 10:06:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8731164470e+05 0.00e+00 1.61e+00 2.274051e+00 -5.589542e+00 3 1.1974771520e+03 -5.73e-02 1.61e-03 7.679786e+00 -9.059277e+00 After 3 iterations the fit converged. final sum of squares of residuals : 1197.48 rel. change during last iteration : -5.7291e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433609 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67979 +/- 0.005559 (0.07239%) b = -9.05928 +/- 4.774 (52.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Sat Feb 22 10:06:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8498940897e+05 0.00e+00 5.43e+00 7.679786e+00 -9.059277e+00 2 1.2005335669e+03 -1.56e-01 5.43e-02 1.305074e+01 -8.830977e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1200.53 rel. change during last iteration : -1.56073e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434162 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0507 +/- 0.005566 (0.04265%) b = -8.83098 +/- 4.78 (54.13%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Sat Feb 22 10:06:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8407604257e+05 0.00e+00 9.23e+00 1.305074e+01 -8.830977e+00 2 1.2192539784e+03 -5.38e-01 9.23e-02 1.840800e+01 -8.398141e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.25 rel. change during last iteration : -5.37595e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.408 +/- 0.00561 (0.03047%) b = -8.39814 +/- 4.818 (57.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8495972942e+05 0.00e+00 1.30e+01 1.840800e+01 -8.398141e+00 2 1.2192948239e+03 -2.00e-01 1.30e-01 2.377826e+01 -8.243191e+00 After 2 iterations the fit converged. final sum of squares of residuals : 1219.29 rel. change during last iteration : -2.00337e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.437541 variance of residuals (reduced chisquare) = WSSR/ndf : 0.191442 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7783 +/- 0.00561 (0.02359%) b = -8.24319 +/- 4.819 (58.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8338080952e+05 0.00e+00 1.68e+01 2.377826e+01 -8.243191e+00 4 1.2056042579e+03 -5.71e-03 1.68e-03 2.912621e+01 -1.052752e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1205.6 rel. change during last iteration : -5.71409e-08 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435078 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1262 +/- 0.005579 (0.01915%) b = -10.5275 +/- 4.791 (45.51%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493897993e+05 0.00e+00 2.06e+01 2.912621e+01 -1.052752e+01 2 1.2053547238e+03 -9.39e-02 2.06e-01 3.449641e+01 -1.053070e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.35 rel. change during last iteration : -9.39478e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189253 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4964 +/- 0.005578 (0.01617%) b = -10.5307 +/- 4.79 (45.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373324499e+05 0.00e+00 2.44e+01 3.449641e+01 -1.053070e+01 2 1.2085455054e+03 -9.33e-02 2.44e-01 3.984891e+01 -1.053601e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.55 rel. change during last iteration : -9.32831e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435608 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8489 +/- 0.005586 (0.01402%) b = -10.536 +/- 4.797 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8486911907e+05 0.00e+00 2.82e+01 3.984891e+01 -1.053601e+01 2 1.2051984757e+03 -9.55e-02 2.82e-01 4.521809e+01 -1.052422e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.2 rel. change during last iteration : -9.55268e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435004 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2181 +/- 0.005578 (0.01234%) b = -10.5242 +/- 4.791 (45.52%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373198089e+05 0.00e+00 3.20e+01 4.521809e+01 -1.052422e+01 2 1.2084638871e+03 -9.36e-02 3.20e-01 5.057058e+01 -1.053019e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1208.46 rel. change during last iteration : -9.3583e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435593 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189742 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.5706 +/- 0.005585 (0.01104%) b = -10.5302 +/- 4.796 (45.55%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8481308763e+05 0.00e+00 3.58e+01 5.057058e+01 -1.053019e+01 2 1.2095205401e+03 -1.33e-01 3.58e-01 5.593887e+01 -1.048473e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.52 rel. change during last iteration : -1.33345e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435784 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189907 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9389 +/- 0.005588 (0.009989%) b = -10.4847 +/- 4.799 (45.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8379558290e+05 0.00e+00 3.96e+01 5.593887e+01 -1.048473e+01 2 1.2097858126e+03 -9.45e-02 3.96e-01 6.129227e+01 -1.049289e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1209.79 rel. change during last iteration : -9.45404e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435832 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189949 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2923 +/- 0.005589 (0.009118%) b = -10.4929 +/- 4.799 (45.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8494774412e+05 0.00e+00 4.33e+01 6.129227e+01 -1.049289e+01 2 1.2102577083e+03 -9.47e-02 4.33e-01 6.666253e+01 -1.049931e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1210.26 rel. change during last iteration : -9.46718e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435916 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6625 +/- 0.00559 (0.008385%) b = -10.4993 +/- 4.8 (45.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351448076e+05 0.00e+00 4.71e+01 6.666253e+01 -1.049931e+01 2 1.1995504392e+03 -9.79e-02 4.71e-01 7.201196e+01 -1.051055e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.55 rel. change during last iteration : -9.78686e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433984 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.012 +/- 0.005565 (0.007728%) b = -10.5106 +/- 4.779 (45.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493005777e+05 0.00e+00 5.09e+01 7.201196e+01 -1.051055e+01 2 1.1993037804e+03 -1.01e-01 5.09e-01 7.738212e+01 -1.052387e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.3 rel. change during last iteration : -1.01287e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3821 +/- 0.005564 (0.007191%) b = -10.5239 +/- 4.779 (45.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8365719427e+05 0.00e+00 5.47e+01 7.738212e+01 -1.052387e+01 2 1.2000257641e+03 -9.70e-02 5.47e-01 8.273364e+01 -1.053248e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.03 rel. change during last iteration : -9.69725e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.43407 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7336 +/- 0.005566 (0.006728%) b = -10.5325 +/- 4.78 (45.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8493383925e+05 0.00e+00 5.85e+01 8.273364e+01 -1.053248e+01 2 1.1999000441e+03 -9.76e-02 5.85e-01 8.810385e+01 -1.054052e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.9 rel. change during last iteration : -9.76192e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434047 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.1038 +/- 0.005566 (0.006317%) b = -10.5405 +/- 4.78 (45.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8351815534e+05 0.00e+00 6.23e+01 8.810385e+01 -1.054052e+01 2 1.2000088332e+03 -1.00e-01 6.23e-01 9.345332e+01 -1.052983e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1200.01 rel. change during last iteration : -1.00139e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.434067 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188414 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4533 +/- 0.005566 (0.005956%) b = -10.5298 +/- 4.78 (45.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8506521988e+05 0.00e+00 6.61e+01 9.345332e+01 -1.052983e+01 2 1.1995643984e+03 -9.69e-02 6.61e-01 9.882545e+01 -1.053602e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1199.56 rel. change during last iteration : -9.68967e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.433986 variance of residuals (reduced chisquare) = WSSR/ndf : 0.188344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8254 +/- 0.005565 (0.005631%) b = -10.536 +/- 4.779 (45.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 6371 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 1.8373601224e+05 0.00e+00 6.99e+01 9.882545e+01 -1.053602e+01 2 1.2052580212e+03 -1.08e-01 6.99e-01 1.041780e+02 -1.052181e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1205.26 rel. change during last iteration : -1.07807e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.435015 variance of residuals (reduced chisquare) = WSSR/ndf : 0.189238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.178 +/- 0.005578 (0.005354%) b = -10.5218 +/- 4.79 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Sat Feb 22 10:06:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 4887 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 1.4179656832e+05 0.00e+00 7.37e+01 1.041780e+02 -1.052181e+01 2 9.7660722646e+02 -2.13e-01 7.37e-01 1.095460e+02 -1.049667e+01 After 2 iterations the fit converged. final sum of squares of residuals : 976.607 rel. change during last iteration : -2.13103e-06 degrees of freedom (FIT_NDF) : 4885 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.447124 variance of residuals (reduced chisquare) = WSSR/ndf : 0.19992 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.546 +/- 0.008391 (0.00766%) b = -10.4967 +/- 7.664 (73.02%) correlation matrix of the fit parameters: a b a 1.000 b -0.647 1.000 ******************************************************************************* Wed Feb 26 10:09:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 3.4052637735e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 1.1758860146e+09 -2.11e-02 7.12e-03 2.274051e+03 -5.589538e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.17589e+09 rel. change during last iteration : -2.10789e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 429.682 variance of residuals (reduced chisquare) = WSSR/ndf : 184626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2274.05 +/- 5.51 (0.2423%) b = -55.8954 +/- 47.36 (84.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Wed Feb 26 10:09:37 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.1574918020e+04 0.00e+00 6.92e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 7.9252996533e+01 -3.74e-01 6.92e-03 1.565964e-02 9.073000e-03 4.687136e-02 After 2 iterations the fit converged. final sum of squares of residuals : 79.253 rel. change during last iteration : -3.73859e-06 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111559 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124455 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0156596 +/- 0.001519 (9.7%) bb = 0.009073 +/- 0.003187 (35.13%) cc = 0.0468714 +/- 0.003082 (6.575%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.003 1.000 cc -0.390 -0.071 1.000 ******************************************************************************* Wed Feb 26 10:09:38 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8731164471e+11 0.00e+00 1.61e+03 2.274051e+03 -5.589538e+01 3 1.1974771520e+09 -5.73e-02 1.61e+00 7.679786e+03 -9.059277e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1.19748e+09 rel. change during last iteration : -5.72913e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 433.609 variance of residuals (reduced chisquare) = WSSR/ndf : 188017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7679.79 +/- 5.559 (0.07239%) b = -90.5928 +/- 47.74 (52.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 26 10:09:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.4231415890e+02 0.00e+00 1.27e-01 1.565964e-02 9.073000e-03 4.687136e-02 2 8.2061721297e+01 -1.33e-01 1.27e-03 1.807107e-02 2.980837e-03 2.419684e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.0617 rel. change during last iteration : -1.32509e-06 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113519 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128866 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0180711 +/- 0.001914 (10.59%) bb = 0.00298084 +/- 0.000876 (29.39%) cc = 0.00241968 +/- 0.0004355 (18%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.120 1.000 cc -0.658 0.354 1.000 ******************************************************************************* Wed Feb 26 10:09:39 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8498940897e+11 0.00e+00 5.43e+03 7.679786e+03 -9.059277e+01 2 1.2005335669e+09 -1.56e-01 5.43e+01 1.305074e+04 -8.830977e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.20053e+09 rel. change during last iteration : -1.56073e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 434.162 variance of residuals (reduced chisquare) = WSSR/ndf : 188496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13050.7 +/- 5.566 (0.04265%) b = -88.3098 +/- 47.8 (54.13%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Wed Feb 26 10:09:39 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1818154004e+01 0.00e+00 1.12e-02 1.807107e-02 2.980837e-03 2.419684e-03 2 8.1013554754e+01 -2.29e-03 1.12e-04 1.881807e-02 8.771688e-03 7.281924e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.0136 rel. change during last iteration : -2.28746e-08 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012722 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0188181 +/- 0.001694 (9%) bb = 0.00877169 +/- 0.001396 (15.91%) cc = 0.00728192 +/- 0.0007014 (9.632%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.176 1.000 cc -0.436 0.326 1.000 ******************************************************************************* Wed Feb 26 10:09:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8407604257e+11 0.00e+00 9.23e+03 1.305074e+04 -8.830977e+01 2 1.2192539784e+09 -5.38e-01 9.23e+01 1.840800e+04 -8.398141e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.21925e+09 rel. change during last iteration : -5.37595e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 437.534 variance of residuals (reduced chisquare) = WSSR/ndf : 191436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18408 +/- 5.61 (0.03047%) b = -83.9814 +/- 48.18 (57.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:40 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.5988656491e+01 0.00e+00 2.29e-02 1.881807e-02 8.771688e-03 7.281924e-03 2 8.2038192070e+01 -3.34e-04 2.29e-04 1.671892e-02 -7.044321e-04 2.591224e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.0382 rel. change during last iteration : -3.33969e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113503 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128829 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0167189 +/- 0.002009 (12.02%) bb = -0.000704432 +/- 0.0008284 (117.6%) cc = 0.00259122 +/- 0.0004706 (18.16%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.703 0.150 1.000 ******************************************************************************* Wed Feb 26 10:09:41 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8495972942e+11 0.00e+00 1.30e+04 1.840800e+04 -8.398141e+01 2 1.2192948239e+09 -2.00e-01 1.30e+02 2.377826e+04 -8.243191e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.21929e+09 rel. change during last iteration : -2.00337e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 437.541 variance of residuals (reduced chisquare) = WSSR/ndf : 191442 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23778.3 +/- 5.61 (0.02359%) b = -82.4319 +/- 48.19 (58.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1856084388e+01 0.00e+00 1.06e-02 1.671892e-02 -7.044321e-04 2.591224e-03 2 8.1589703505e+01 -3.72e-03 1.06e-04 1.806990e-02 1.140952e-05 4.613076e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.5897 rel. change during last iteration : -3.72091e-08 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113192 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128125 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0180699 +/- 0.001642 (9.084%) bb = 1.14095e-05 +/- 0.001218 (1.067e+04%) cc = 0.00461308 +/- 0.0005819 (12.61%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.488 0.225 1.000 ******************************************************************************* Wed Feb 26 10:09:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8338080952e+11 0.00e+00 1.68e+04 2.377826e+04 -8.243191e+01 4 1.2056042579e+09 -5.71e-03 1.68e+00 2.912621e+04 -1.052752e+02 After 4 iterations the fit converged. final sum of squares of residuals : 1.2056e+09 rel. change during last iteration : -5.71409e-08 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.078 variance of residuals (reduced chisquare) = WSSR/ndf : 189293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29126.2 +/- 5.579 (0.01915%) b = -105.275 +/- 47.91 (45.51%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:43 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2686978874e+01 0.00e+00 1.56e-02 1.806990e-02 1.140952e-05 4.613076e-03 4 8.1924046753e+01 -6.70e-03 1.56e-06 1.721552e-02 3.077354e-03 2.850852e-03 After 4 iterations the fit converged. final sum of squares of residuals : 81.924 rel. change during last iteration : -6.70322e-08 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113424 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012865 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0172155 +/- 0.001907 (11.08%) bb = 0.00307735 +/- 0.0008903 (28.93%) cc = 0.00285085 +/- 0.0004593 (16.11%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.132 1.000 cc -0.662 0.314 1.000 ******************************************************************************* Wed Feb 26 10:09:43 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8493897993e+11 0.00e+00 2.06e+04 2.912621e+04 -1.052752e+02 2 1.2053547238e+09 -9.39e-02 2.06e+02 3.449641e+04 -1.053070e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20535e+09 rel. change during last iteration : -9.39478e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.033 variance of residuals (reduced chisquare) = WSSR/ndf : 189253 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34496.4 +/- 5.578 (0.01617%) b = -105.307 +/- 47.9 (45.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:44 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1896969146e+01 0.00e+00 1.24e-02 1.721552e-02 3.077354e-03 2.850852e-03 2 8.1892467875e+01 -1.95e-06 1.24e-04 1.685697e-02 2.760795e-03 3.022690e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.8925 rel. change during last iteration : -1.94911e-11 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.01286 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.016857 +/- 0.001892 (11.22%) bb = 0.00276079 +/- 0.0008828 (31.98%) cc = 0.00302269 +/- 0.0004639 (15.35%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.092 1.000 cc -0.658 0.217 1.000 ******************************************************************************* Wed Feb 26 10:09:44 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8373324499e+11 0.00e+00 2.44e+04 3.449641e+04 -1.053070e+02 2 1.2085455054e+09 -9.33e-02 2.44e+02 3.984891e+04 -1.053601e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20855e+09 rel. change during last iteration : -9.32831e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.608 variance of residuals (reduced chisquare) = WSSR/ndf : 189754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39848.9 +/- 5.586 (0.01402%) b = -105.36 +/- 47.97 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:45 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1842827410e+01 0.00e+00 1.18e-02 1.685697e-02 2.760795e-03 3.022690e-03 2 8.1762578659e+01 -9.19e-05 1.18e-04 1.694268e-02 1.010850e-03 3.659202e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.7626 rel. change during last iteration : -9.18546e-10 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113312 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128396 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0169427 +/- 0.001779 (10.5%) bb = 0.00101085 +/- 0.0009681 (95.77%) cc = 0.0036592 +/- 0.0004974 (13.59%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.011 1.000 cc -0.602 0.044 1.000 ******************************************************************************* Wed Feb 26 10:09:45 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8486911907e+11 0.00e+00 2.82e+04 3.984891e+04 -1.053601e+02 2 1.2051984757e+09 -9.55e-02 2.82e+02 4.521809e+04 -1.052422e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.2052e+09 rel. change during last iteration : -9.55268e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.004 variance of residuals (reduced chisquare) = WSSR/ndf : 189229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45218.1 +/- 5.578 (0.01234%) b = -105.242 +/- 47.91 (45.52%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:46 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1674092434e+01 0.00e+00 1.13e-02 1.694268e-02 1.010850e-03 3.659202e-03 2 8.1298518058e+01 -5.09e-02 1.13e-04 1.710495e-02 -3.896352e-03 5.683734e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.2985 rel. change during last iteration : -5.09335e-07 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11299 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127667 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0171049 +/- 0.001665 (9.735%) bb = -0.00389635 +/- 0.001198 (30.74%) cc = 0.00568373 +/- 0.000624 (10.98%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.023 1.000 cc -0.524 -0.055 1.000 ******************************************************************************* Wed Feb 26 10:09:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8373198089e+11 0.00e+00 3.20e+04 4.521809e+04 -1.052422e+02 2 1.2084638871e+09 -9.36e-02 3.20e+02 5.057058e+04 -1.053019e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20846e+09 rel. change during last iteration : -9.3583e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.593 variance of residuals (reduced chisquare) = WSSR/ndf : 189742 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50570.6 +/- 5.585 (0.01104%) b = -105.302 +/- 47.96 (45.55%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:47 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2832341685e+01 0.00e+00 1.61e-02 1.710495e-02 -3.896352e-03 5.683734e-03 2 8.2082952829e+01 -3.99e-05 1.61e-04 1.919189e-02 -3.166809e-03 2.393095e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.083 rel. change during last iteration : -3.9909e-10 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128899 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0191919 +/- 0.001896 (9.878%) bb = -0.00316681 +/- 0.0009162 (28.93%) cc = 0.0023931 +/- 0.0005147 (21.51%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.036 1.000 cc -0.660 -0.112 1.000 ******************************************************************************* Wed Feb 26 10:09:48 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8481308763e+11 0.00e+00 3.58e+04 5.057058e+04 -1.053019e+02 2 1.2095205401e+09 -1.33e-01 3.58e+02 5.593887e+04 -1.048473e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20952e+09 rel. change during last iteration : -1.33345e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.784 variance of residuals (reduced chisquare) = WSSR/ndf : 189907 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55938.9 +/- 5.588 (0.009989%) b = -104.847 +/- 47.99 (45.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:48 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1748443767e+01 0.00e+00 1.22e-02 1.919189e-02 -3.166809e-03 2.393095e-03 2 8.1219196543e+01 -5.17e-04 1.22e-04 1.476169e-02 4.413043e-04 5.446888e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.2192 rel. change during last iteration : -5.16868e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112935 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127543 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0147617 +/- 0.001743 (11.81%) bb = 0.000441304 +/- 0.001043 (236.3%) cc = 0.00544689 +/- 0.0005517 (10.13%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.005 1.000 cc -0.583 0.045 1.000 ******************************************************************************* Wed Feb 26 10:09:49 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8379558290e+11 0.00e+00 3.96e+04 5.593887e+04 -1.048473e+02 2 1.2097858126e+09 -9.45e-02 3.96e+02 6.129227e+04 -1.049289e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20979e+09 rel. change during last iteration : -9.45404e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.832 variance of residuals (reduced chisquare) = WSSR/ndf : 189949 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61292.3 +/- 5.589 (0.009118%) b = -104.929 +/- 47.99 (45.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:49 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2049680710e+01 0.00e+00 1.31e-02 1.476169e-02 4.413043e-04 5.446888e-03 3 8.1733354136e+01 -6.43e-07 1.31e-05 1.837416e-02 4.261230e-03 3.827921e-03 After 3 iterations the fit converged. final sum of squares of residuals : 81.7334 rel. change during last iteration : -6.43122e-12 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113292 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012835 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0183742 +/- 0.001734 (9.438%) bb = 0.00426123 +/- 0.001069 (25.09%) cc = 0.00382792 +/- 0.0005557 (14.52%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.009 1.000 cc -0.570 0.139 1.000 ******************************************************************************* Wed Feb 26 10:09:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8494774412e+11 0.00e+00 4.33e+04 6.129227e+04 -1.049289e+02 2 1.2102577083e+09 -9.47e-02 4.33e+02 6.666253e+04 -1.049931e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.21026e+09 rel. change during last iteration : -9.46718e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.916 variance of residuals (reduced chisquare) = WSSR/ndf : 190023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66662.5 +/- 5.59 (0.008385%) b = -104.993 +/- 48 (45.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:50 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2092079906e+01 0.00e+00 1.37e-02 1.837416e-02 4.261230e-03 3.827921e-03 2 8.1920467573e+01 -7.82e-05 1.37e-04 1.706179e-02 1.321456e-03 3.354067e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.9205 rel. change during last iteration : -7.82373e-10 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128644 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0170618 +/- 0.001867 (10.94%) bb = 0.00132146 +/- 0.000935 (70.75%) cc = 0.00335407 +/- 0.0005237 (15.61%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.011 1.000 cc -0.648 0.027 1.000 ******************************************************************************* Wed Feb 26 10:09:51 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8351448076e+11 0.00e+00 4.71e+04 6.666253e+04 -1.049931e+02 2 1.1995504392e+09 -9.79e-02 4.71e+02 7.201196e+04 -1.051055e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.19955e+09 rel. change during last iteration : -9.78686e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 433.984 variance of residuals (reduced chisquare) = WSSR/ndf : 188342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72012 +/- 5.565 (0.007728%) b = -105.106 +/- 47.79 (45.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1533720021e+01 0.00e+00 1.15e-02 1.706179e-02 1.321456e-03 3.354067e-03 2 8.0992278153e+01 -2.09e-02 1.15e-04 1.555988e-02 -4.195910e-03 5.942822e-03 After 2 iterations the fit converged. final sum of squares of residuals : 80.9923 rel. change during last iteration : -2.09294e-07 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112777 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127186 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0155599 +/- 0.001682 (10.81%) bb = -0.00419591 +/- 0.001121 (26.73%) cc = 0.00594282 +/- 0.0005681 (9.56%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.540 -0.121 1.000 ******************************************************************************* Wed Feb 26 10:09:52 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8493005777e+11 0.00e+00 5.09e+04 7.201196e+04 -1.051055e+02 2 1.1993037804e+09 -1.01e-01 5.09e+02 7.738212e+04 -1.052387e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.1993e+09 rel. change during last iteration : -1.01287e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 433.939 variance of residuals (reduced chisquare) = WSSR/ndf : 188303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77382.1 +/- 5.564 (0.007191%) b = -105.239 +/- 47.79 (45.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:52 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.3173895974e+01 0.00e+00 1.58e-02 1.555988e-02 -4.195910e-03 5.942822e-03 2 8.2221353988e+01 -1.15e-04 1.58e-04 2.026336e-02 -2.127341e-03 1.946544e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.2214 rel. change during last iteration : -1.15305e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113629 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129116 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0202634 +/- 0.001885 (9.303%) bb = -0.00212734 +/- 0.000925 (43.48%) cc = 0.00194654 +/- 0.0005212 (26.78%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.000 1.000 cc -0.655 -0.028 1.000 ******************************************************************************* Wed Feb 26 10:09:53 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8365719427e+11 0.00e+00 5.47e+04 7.738212e+04 -1.052387e+02 2 1.2000257641e+09 -9.70e-02 5.47e+02 8.273364e+04 -1.053248e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20003e+09 rel. change during last iteration : -9.69725e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 434.07 variance of residuals (reduced chisquare) = WSSR/ndf : 188417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82733.6 +/- 5.566 (0.006728%) b = -105.325 +/- 47.8 (45.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:53 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1791956293e+01 0.00e+00 1.23e-02 2.026336e-02 -2.127341e-03 1.946544e-03 2 8.0886764796e+01 -3.47e-03 1.23e-04 1.419946e-02 2.262452e-03 6.176814e-03 After 2 iterations the fit converged. final sum of squares of residuals : 80.8868 rel. change during last iteration : -3.47158e-08 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112703 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127021 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0141995 +/- 0.001714 (12.07%) bb = 0.00226245 +/- 0.001073 (47.43%) cc = 0.00617681 +/- 0.000559 (9.05%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.566 0.056 1.000 ******************************************************************************* Wed Feb 26 10:09:54 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8493383925e+11 0.00e+00 5.85e+04 8.273364e+04 -1.053248e+02 2 1.1999000441e+09 -9.76e-02 5.85e+02 8.810385e+04 -1.054052e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.1999e+09 rel. change during last iteration : -9.76192e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 434.047 variance of residuals (reduced chisquare) = WSSR/ndf : 188397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88103.8 +/- 5.566 (0.006317%) b = -105.405 +/- 47.8 (45.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.3081727690e+01 0.00e+00 1.52e-02 1.419946e-02 2.262452e-03 6.176814e-03 2 8.2135805769e+01 -2.35e-04 1.52e-04 2.064111e-02 3.283414e-03 1.959816e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.1358 rel. change during last iteration : -2.3497e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11357 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128982 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0206411 +/- 0.00182 (8.819%) bb = 0.00328341 +/- 0.0009576 (29.17%) cc = 0.00195982 +/- 0.0005135 (26.2%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.012 1.000 cc -0.623 0.025 1.000 ******************************************************************************* Wed Feb 26 10:09:55 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8351815534e+11 0.00e+00 6.23e+04 8.810385e+04 -1.054052e+02 2 1.2000088332e+09 -1.00e-01 6.23e+02 9.345332e+04 -1.052983e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20001e+09 rel. change during last iteration : -1.00139e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 434.067 variance of residuals (reduced chisquare) = WSSR/ndf : 188414 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93453.3 +/- 5.566 (0.005956%) b = -105.298 +/- 47.8 (45.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:55 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1978625169e+01 0.00e+00 1.27e-02 2.064111e-02 3.283414e-03 1.959816e-03 2 8.1565170215e+01 -5.86e-04 1.27e-04 1.579013e-02 2.893318e-04 4.621003e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.5652 rel. change during last iteration : -5.85657e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113175 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128086 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0157901 +/- 0.001781 (11.28%) bb = 0.000289332 +/- 0.001017 (351.4%) cc = 0.004621 +/- 0.0005526 (11.96%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.605 0.014 1.000 ******************************************************************************* Wed Feb 26 10:09:56 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8506521988e+11 0.00e+00 6.61e+04 9.345332e+04 -1.052983e+02 2 1.1995643984e+09 -9.69e-02 6.61e+02 9.882545e+04 -1.053602e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.19956e+09 rel. change during last iteration : -9.68967e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 433.986 variance of residuals (reduced chisquare) = WSSR/ndf : 188344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98825.4 +/- 5.565 (0.005631%) b = -105.36 +/- 47.79 (45.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2047190487e+01 0.00e+00 1.29e-02 1.579013e-02 2.893318e-04 4.621003e-03 3 8.1781593074e+01 -9.46e-06 1.29e-05 1.797613e-02 -3.467316e-03 3.448355e-03 After 3 iterations the fit converged. final sum of squares of residuals : 81.7816 rel. change during last iteration : -9.4593e-11 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113325 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128426 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0179761 +/- 0.001766 (9.824%) bb = -0.00346732 +/- 0.0009984 (28.79%) cc = 0.00344835 +/- 0.0005171 (15%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.594 -0.070 1.000 ******************************************************************************* Wed Feb 26 10:09:57 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8373601224e+11 0.00e+00 6.99e+04 9.882545e+04 -1.053602e+02 2 1.2052580212e+09 -1.08e-01 6.99e+02 1.041780e+05 -1.052181e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20526e+09 rel. change during last iteration : -1.07807e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.015 variance of residuals (reduced chisquare) = WSSR/ndf : 189238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104178 +/- 5.578 (0.005354%) b = -105.218 +/- 47.9 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Wed Feb 26 10:09:58 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2178835799e+01 0.00e+00 1.26e-02 1.797613e-02 -3.467316e-03 3.448355e-03 2 8.2084687248e+01 -1.03e-04 1.26e-04 1.876947e-02 -9.716402e-04 2.927938e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.0847 rel. change during last iteration : -1.03132e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113535 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128902 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0187695 +/- 0.001816 (9.675%) bb = -0.00097164 +/- 0.0009933 (102.2%) cc = 0.00292794 +/- 0.0005502 (18.79%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.621 0.008 1.000 ******************************************************************************* Fri Feb 28 07:50:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 3.4052637735e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 1.1758860146e+09 -2.11e-02 7.12e-03 2.274051e+03 -5.589538e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.17589e+09 rel. change during last iteration : -2.10789e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 429.682 variance of residuals (reduced chisquare) = WSSR/ndf : 184626 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2274.05 +/- 5.51 (0.2423%) b = -55.8954 +/- 47.36 (84.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Fri Feb 28 07:50:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.1574918020e+04 0.00e+00 6.92e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 7.9252996533e+01 -3.74e-01 6.92e-03 1.565964e-02 9.073000e-03 4.687136e-02 After 2 iterations the fit converged. final sum of squares of residuals : 79.253 rel. change during last iteration : -3.73859e-06 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111559 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124455 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0156596 +/- 0.001519 (9.7%) bb = 0.009073 +/- 0.003187 (35.13%) cc = 0.0468714 +/- 0.003082 (6.575%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.003 1.000 cc -0.390 -0.071 1.000 ******************************************************************************* Fri Feb 28 07:50:01 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8731164471e+11 0.00e+00 1.61e+03 2.274051e+03 -5.589538e+01 3 1.1974771520e+09 -5.73e-02 1.61e+00 7.679786e+03 -9.059277e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1.19748e+09 rel. change during last iteration : -5.72913e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 433.609 variance of residuals (reduced chisquare) = WSSR/ndf : 188017 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7679.79 +/- 5.559 (0.07239%) b = -90.5928 +/- 47.74 (52.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Fri Feb 28 07:50:02 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.4231415890e+02 0.00e+00 1.27e-01 1.565964e-02 9.073000e-03 4.687136e-02 2 8.2061721297e+01 -1.33e-01 1.27e-03 1.807107e-02 2.980837e-03 2.419684e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.0617 rel. change during last iteration : -1.32509e-06 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113519 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128866 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0180711 +/- 0.001914 (10.59%) bb = 0.00298084 +/- 0.000876 (29.39%) cc = 0.00241968 +/- 0.0004355 (18%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.120 1.000 cc -0.658 0.354 1.000 ******************************************************************************* Fri Feb 28 07:50:02 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8498940897e+11 0.00e+00 5.43e+03 7.679786e+03 -9.059277e+01 2 1.2005335669e+09 -1.56e-01 5.43e+01 1.305074e+04 -8.830977e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.20053e+09 rel. change during last iteration : -1.56073e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 434.162 variance of residuals (reduced chisquare) = WSSR/ndf : 188496 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13050.7 +/- 5.566 (0.04265%) b = -88.3098 +/- 47.8 (54.13%) correlation matrix of the fit parameters: a b a 1.000 b -0.212 1.000 ******************************************************************************* Fri Feb 28 07:50:03 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1818154004e+01 0.00e+00 1.12e-02 1.807107e-02 2.980837e-03 2.419684e-03 2 8.1013554754e+01 -2.29e-03 1.12e-04 1.881807e-02 8.771688e-03 7.281924e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.0136 rel. change during last iteration : -2.28746e-08 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112792 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012722 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0188181 +/- 0.001694 (9%) bb = 0.00877169 +/- 0.001396 (15.91%) cc = 0.00728192 +/- 0.0007014 (9.632%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.176 1.000 cc -0.436 0.326 1.000 ******************************************************************************* Fri Feb 28 07:50:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8407604257e+11 0.00e+00 9.23e+03 1.305074e+04 -8.830977e+01 2 1.2192539784e+09 -5.38e-01 9.23e+01 1.840800e+04 -8.398141e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.21925e+09 rel. change during last iteration : -5.37595e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 437.534 variance of residuals (reduced chisquare) = WSSR/ndf : 191436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18408 +/- 5.61 (0.03047%) b = -83.9814 +/- 48.18 (57.37%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.5988656491e+01 0.00e+00 2.29e-02 1.881807e-02 8.771688e-03 7.281924e-03 2 8.2038192070e+01 -3.34e-04 2.29e-04 1.671892e-02 -7.044321e-04 2.591224e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.0382 rel. change during last iteration : -3.33969e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113503 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128829 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0167189 +/- 0.002009 (12.02%) bb = -0.000704432 +/- 0.0008284 (117.6%) cc = 0.00259122 +/- 0.0004706 (18.16%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.703 0.150 1.000 ******************************************************************************* Fri Feb 28 07:50:04 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8495972942e+11 0.00e+00 1.30e+04 1.840800e+04 -8.398141e+01 2 1.2192948239e+09 -2.00e-01 1.30e+02 2.377826e+04 -8.243191e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1.21929e+09 rel. change during last iteration : -2.00337e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 437.541 variance of residuals (reduced chisquare) = WSSR/ndf : 191442 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23778.3 +/- 5.61 (0.02359%) b = -82.4319 +/- 48.19 (58.46%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:05 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1856084388e+01 0.00e+00 1.06e-02 1.671892e-02 -7.044321e-04 2.591224e-03 2 8.1589703505e+01 -3.72e-03 1.06e-04 1.806990e-02 1.140952e-05 4.613076e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.5897 rel. change during last iteration : -3.72091e-08 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113192 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128125 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0180699 +/- 0.001642 (9.084%) bb = 1.14095e-05 +/- 0.001218 (1.067e+04%) cc = 0.00461308 +/- 0.0005819 (12.61%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.488 0.225 1.000 ******************************************************************************* Fri Feb 28 07:50:05 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8338080952e+11 0.00e+00 1.68e+04 2.377826e+04 -8.243191e+01 4 1.2056042579e+09 -5.71e-03 1.68e+00 2.912621e+04 -1.052752e+02 After 4 iterations the fit converged. final sum of squares of residuals : 1.2056e+09 rel. change during last iteration : -5.71409e-08 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.078 variance of residuals (reduced chisquare) = WSSR/ndf : 189293 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29126.2 +/- 5.579 (0.01915%) b = -105.275 +/- 47.91 (45.51%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:06 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2686978874e+01 0.00e+00 1.56e-02 1.806990e-02 1.140952e-05 4.613076e-03 4 8.1924046753e+01 -6.70e-03 1.56e-06 1.721552e-02 3.077354e-03 2.850852e-03 After 4 iterations the fit converged. final sum of squares of residuals : 81.924 rel. change during last iteration : -6.70322e-08 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113424 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012865 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0172155 +/- 0.001907 (11.08%) bb = 0.00307735 +/- 0.0008903 (28.93%) cc = 0.00285085 +/- 0.0004593 (16.11%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.132 1.000 cc -0.662 0.314 1.000 ******************************************************************************* Fri Feb 28 07:50:07 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8493897993e+11 0.00e+00 2.06e+04 2.912621e+04 -1.052752e+02 2 1.2053547238e+09 -9.39e-02 2.06e+02 3.449641e+04 -1.053070e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20535e+09 rel. change during last iteration : -9.39478e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.033 variance of residuals (reduced chisquare) = WSSR/ndf : 189253 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34496.4 +/- 5.578 (0.01617%) b = -105.307 +/- 47.9 (45.49%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:07 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1896969146e+01 0.00e+00 1.24e-02 1.721552e-02 3.077354e-03 2.850852e-03 2 8.1892467875e+01 -1.95e-06 1.24e-04 1.685697e-02 2.760795e-03 3.022690e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.8925 rel. change during last iteration : -1.94911e-11 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113402 variance of residuals (reduced chisquare) = WSSR/ndf : 0.01286 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.016857 +/- 0.001892 (11.22%) bb = 0.00276079 +/- 0.0008828 (31.98%) cc = 0.00302269 +/- 0.0004639 (15.35%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.092 1.000 cc -0.658 0.217 1.000 ******************************************************************************* Fri Feb 28 07:50:08 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8373324499e+11 0.00e+00 2.44e+04 3.449641e+04 -1.053070e+02 2 1.2085455054e+09 -9.33e-02 2.44e+02 3.984891e+04 -1.053601e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20855e+09 rel. change during last iteration : -9.32831e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.608 variance of residuals (reduced chisquare) = WSSR/ndf : 189754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39848.9 +/- 5.586 (0.01402%) b = -105.36 +/- 47.97 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:08 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1842827410e+01 0.00e+00 1.18e-02 1.685697e-02 2.760795e-03 3.022690e-03 2 8.1762578659e+01 -9.19e-05 1.18e-04 1.694268e-02 1.010850e-03 3.659202e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.7626 rel. change during last iteration : -9.18546e-10 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113312 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128396 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0169427 +/- 0.001779 (10.5%) bb = 0.00101085 +/- 0.0009681 (95.77%) cc = 0.0036592 +/- 0.0004974 (13.59%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.011 1.000 cc -0.602 0.044 1.000 ******************************************************************************* Fri Feb 28 07:50:09 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8486911907e+11 0.00e+00 2.82e+04 3.984891e+04 -1.053601e+02 2 1.2051984757e+09 -9.55e-02 2.82e+02 4.521809e+04 -1.052422e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.2052e+09 rel. change during last iteration : -9.55268e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.004 variance of residuals (reduced chisquare) = WSSR/ndf : 189229 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45218.1 +/- 5.578 (0.01234%) b = -105.242 +/- 47.91 (45.52%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:09 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1674092434e+01 0.00e+00 1.13e-02 1.694268e-02 1.010850e-03 3.659202e-03 2 8.1298518058e+01 -5.09e-02 1.13e-04 1.710495e-02 -3.896352e-03 5.683734e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.2985 rel. change during last iteration : -5.09335e-07 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11299 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127667 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0171049 +/- 0.001665 (9.735%) bb = -0.00389635 +/- 0.001198 (30.74%) cc = 0.00568373 +/- 0.000624 (10.98%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.023 1.000 cc -0.524 -0.055 1.000 ******************************************************************************* Fri Feb 28 07:50:10 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8373198089e+11 0.00e+00 3.20e+04 4.521809e+04 -1.052422e+02 2 1.2084638871e+09 -9.36e-02 3.20e+02 5.057058e+04 -1.053019e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20846e+09 rel. change during last iteration : -9.3583e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.593 variance of residuals (reduced chisquare) = WSSR/ndf : 189742 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50570.6 +/- 5.585 (0.01104%) b = -105.302 +/- 47.96 (45.55%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:10 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2832341685e+01 0.00e+00 1.61e-02 1.710495e-02 -3.896352e-03 5.683734e-03 2 8.2082952829e+01 -3.99e-05 1.61e-04 1.919189e-02 -3.166809e-03 2.393095e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.083 rel. change during last iteration : -3.9909e-10 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113534 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128899 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0191919 +/- 0.001896 (9.878%) bb = -0.00316681 +/- 0.0009162 (28.93%) cc = 0.0023931 +/- 0.0005147 (21.51%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.036 1.000 cc -0.660 -0.112 1.000 ******************************************************************************* Fri Feb 28 07:50:11 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8481308763e+11 0.00e+00 3.58e+04 5.057058e+04 -1.053019e+02 2 1.2095205401e+09 -1.33e-01 3.58e+02 5.593887e+04 -1.048473e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20952e+09 rel. change during last iteration : -1.33345e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.784 variance of residuals (reduced chisquare) = WSSR/ndf : 189907 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55938.9 +/- 5.588 (0.009989%) b = -104.847 +/- 47.99 (45.77%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:11 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1748443767e+01 0.00e+00 1.22e-02 1.919189e-02 -3.166809e-03 2.393095e-03 2 8.1219196543e+01 -5.17e-04 1.22e-04 1.476169e-02 4.413043e-04 5.446888e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.2192 rel. change during last iteration : -5.16868e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112935 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127543 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0147617 +/- 0.001743 (11.81%) bb = 0.000441304 +/- 0.001043 (236.3%) cc = 0.00544689 +/- 0.0005517 (10.13%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.005 1.000 cc -0.583 0.045 1.000 ******************************************************************************* Fri Feb 28 07:50:12 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8379558290e+11 0.00e+00 3.96e+04 5.593887e+04 -1.048473e+02 2 1.2097858126e+09 -9.45e-02 3.96e+02 6.129227e+04 -1.049289e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20979e+09 rel. change during last iteration : -9.45404e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.832 variance of residuals (reduced chisquare) = WSSR/ndf : 189949 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61292.3 +/- 5.589 (0.009118%) b = -104.929 +/- 47.99 (45.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:12 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2049680710e+01 0.00e+00 1.31e-02 1.476169e-02 4.413043e-04 5.446888e-03 3 8.1733354136e+01 -6.43e-07 1.31e-05 1.837416e-02 4.261230e-03 3.827921e-03 After 3 iterations the fit converged. final sum of squares of residuals : 81.7334 rel. change during last iteration : -6.43122e-12 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113292 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012835 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0183742 +/- 0.001734 (9.438%) bb = 0.00426123 +/- 0.001069 (25.09%) cc = 0.00382792 +/- 0.0005557 (14.52%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.009 1.000 cc -0.570 0.139 1.000 ******************************************************************************* Fri Feb 28 07:50:13 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8494774412e+11 0.00e+00 4.33e+04 6.129227e+04 -1.049289e+02 2 1.2102577083e+09 -9.47e-02 4.33e+02 6.666253e+04 -1.049931e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.21026e+09 rel. change during last iteration : -9.46718e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.916 variance of residuals (reduced chisquare) = WSSR/ndf : 190023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66662.5 +/- 5.59 (0.008385%) b = -104.993 +/- 48 (45.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:14 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2092079906e+01 0.00e+00 1.37e-02 1.837416e-02 4.261230e-03 3.827921e-03 2 8.1920467573e+01 -7.82e-05 1.37e-04 1.706179e-02 1.321456e-03 3.354067e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.9205 rel. change during last iteration : -7.82373e-10 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128644 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0170618 +/- 0.001867 (10.94%) bb = 0.00132146 +/- 0.000935 (70.75%) cc = 0.00335407 +/- 0.0005237 (15.61%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.011 1.000 cc -0.648 0.027 1.000 ******************************************************************************* Fri Feb 28 07:50:14 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8351448076e+11 0.00e+00 4.71e+04 6.666253e+04 -1.049931e+02 2 1.1995504392e+09 -9.79e-02 4.71e+02 7.201196e+04 -1.051055e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.19955e+09 rel. change during last iteration : -9.78686e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 433.984 variance of residuals (reduced chisquare) = WSSR/ndf : 188342 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72012 +/- 5.565 (0.007728%) b = -105.106 +/- 47.79 (45.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1533720021e+01 0.00e+00 1.15e-02 1.706179e-02 1.321456e-03 3.354067e-03 2 8.0992278153e+01 -2.09e-02 1.15e-04 1.555988e-02 -4.195910e-03 5.942822e-03 After 2 iterations the fit converged. final sum of squares of residuals : 80.9923 rel. change during last iteration : -2.09294e-07 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112777 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127186 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0155599 +/- 0.001682 (10.81%) bb = -0.00419591 +/- 0.001121 (26.73%) cc = 0.00594282 +/- 0.0005681 (9.56%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.540 -0.121 1.000 ******************************************************************************* Fri Feb 28 07:50:15 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8493005777e+11 0.00e+00 5.09e+04 7.201196e+04 -1.051055e+02 2 1.1993037804e+09 -1.01e-01 5.09e+02 7.738212e+04 -1.052387e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.1993e+09 rel. change during last iteration : -1.01287e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 433.939 variance of residuals (reduced chisquare) = WSSR/ndf : 188303 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77382.1 +/- 5.564 (0.007191%) b = -105.239 +/- 47.79 (45.41%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:16 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.3173895974e+01 0.00e+00 1.58e-02 1.555988e-02 -4.195910e-03 5.942822e-03 2 8.2221353988e+01 -1.15e-04 1.58e-04 2.026336e-02 -2.127341e-03 1.946544e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.2214 rel. change during last iteration : -1.15305e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113629 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129116 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0202634 +/- 0.001885 (9.303%) bb = -0.00212734 +/- 0.000925 (43.48%) cc = 0.00194654 +/- 0.0005212 (26.78%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.000 1.000 cc -0.655 -0.028 1.000 ******************************************************************************* Fri Feb 28 07:50:16 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8365719427e+11 0.00e+00 5.47e+04 7.738212e+04 -1.052387e+02 2 1.2000257641e+09 -9.70e-02 5.47e+02 8.273364e+04 -1.053248e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20003e+09 rel. change during last iteration : -9.69725e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 434.07 variance of residuals (reduced chisquare) = WSSR/ndf : 188417 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82733.6 +/- 5.566 (0.006728%) b = -105.325 +/- 47.8 (45.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:17 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1791956293e+01 0.00e+00 1.23e-02 2.026336e-02 -2.127341e-03 1.946544e-03 2 8.0886764796e+01 -3.47e-03 1.23e-04 1.419946e-02 2.262452e-03 6.176814e-03 After 2 iterations the fit converged. final sum of squares of residuals : 80.8868 rel. change during last iteration : -3.47158e-08 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112703 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127021 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0141995 +/- 0.001714 (12.07%) bb = 0.00226245 +/- 0.001073 (47.43%) cc = 0.00617681 +/- 0.000559 (9.05%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.566 0.056 1.000 ******************************************************************************* Fri Feb 28 07:50:17 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8493383925e+11 0.00e+00 5.85e+04 8.273364e+04 -1.053248e+02 2 1.1999000441e+09 -9.76e-02 5.85e+02 8.810385e+04 -1.054052e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.1999e+09 rel. change during last iteration : -9.76192e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 434.047 variance of residuals (reduced chisquare) = WSSR/ndf : 188397 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88103.8 +/- 5.566 (0.006317%) b = -105.405 +/- 47.8 (45.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:18 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.3081727690e+01 0.00e+00 1.52e-02 1.419946e-02 2.262452e-03 6.176814e-03 2 8.2135805769e+01 -2.35e-04 1.52e-04 2.064111e-02 3.283414e-03 1.959816e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.1358 rel. change during last iteration : -2.3497e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11357 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128982 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0206411 +/- 0.00182 (8.819%) bb = 0.00328341 +/- 0.0009576 (29.17%) cc = 0.00195982 +/- 0.0005135 (26.2%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.012 1.000 cc -0.623 0.025 1.000 ******************************************************************************* Fri Feb 28 07:50:18 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8351815534e+11 0.00e+00 6.23e+04 8.810385e+04 -1.054052e+02 2 1.2000088332e+09 -1.00e-01 6.23e+02 9.345332e+04 -1.052983e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20001e+09 rel. change during last iteration : -1.00139e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 434.067 variance of residuals (reduced chisquare) = WSSR/ndf : 188414 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93453.3 +/- 5.566 (0.005956%) b = -105.298 +/- 47.8 (45.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:19 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.1978625169e+01 0.00e+00 1.27e-02 2.064111e-02 3.283414e-03 1.959816e-03 2 8.1565170215e+01 -5.86e-04 1.27e-04 1.579013e-02 2.893318e-04 4.621003e-03 After 2 iterations the fit converged. final sum of squares of residuals : 81.5652 rel. change during last iteration : -5.85657e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113175 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128086 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0157901 +/- 0.001781 (11.28%) bb = 0.000289332 +/- 0.001017 (351.4%) cc = 0.004621 +/- 0.0005526 (11.96%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.605 0.014 1.000 ******************************************************************************* Fri Feb 28 07:50:19 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8506521988e+11 0.00e+00 6.61e+04 9.345332e+04 -1.052983e+02 2 1.1995643984e+09 -9.69e-02 6.61e+02 9.882545e+04 -1.053602e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.19956e+09 rel. change during last iteration : -9.68967e-07 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 433.986 variance of residuals (reduced chisquare) = WSSR/ndf : 188344 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98825.4 +/- 5.565 (0.005631%) b = -105.36 +/- 47.79 (45.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:20 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2047190487e+01 0.00e+00 1.29e-02 1.579013e-02 2.893318e-04 4.621003e-03 3 8.1781593074e+01 -9.46e-06 1.29e-05 1.797613e-02 -3.467316e-03 3.448355e-03 After 3 iterations the fit converged. final sum of squares of residuals : 81.7816 rel. change during last iteration : -9.4593e-11 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113325 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128426 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0179761 +/- 0.001766 (9.824%) bb = -0.00346732 +/- 0.0009984 (28.79%) cc = 0.00344835 +/- 0.0005171 (15%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.594 -0.070 1.000 ******************************************************************************* Fri Feb 28 07:50:20 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 6371 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 1.8373601224e+11 0.00e+00 6.99e+04 9.882545e+04 -1.053602e+02 2 1.2052580212e+09 -1.08e-01 6.99e+02 1.041780e+05 -1.052181e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.20526e+09 rel. change during last iteration : -1.07807e-06 degrees of freedom (FIT_NDF) : 6369 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 435.015 variance of residuals (reduced chisquare) = WSSR/ndf : 189238 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104178 +/- 5.578 (0.005354%) b = -105.218 +/- 47.9 (45.53%) correlation matrix of the fit parameters: a b a 1.000 b -0.213 1.000 ******************************************************************************* Fri Feb 28 07:50:21 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 6371 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 8.2178835799e+01 0.00e+00 1.26e-02 1.797613e-02 -3.467316e-03 3.448355e-03 2 8.2084687248e+01 -1.03e-04 1.26e-04 1.876947e-02 -9.716402e-04 2.927938e-03 After 2 iterations the fit converged. final sum of squares of residuals : 82.0847 rel. change during last iteration : -1.03132e-09 degrees of freedom (FIT_NDF) : 6368 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113535 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128902 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0187695 +/- 0.001816 (9.675%) bb = -0.00097164 +/- 0.0009933 (102.2%) cc = 0.00292794 +/- 0.0005502 (18.79%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.010 1.000 cc -0.621 0.008 1.000 ******************************************************************************* Fri Feb 28 14:08:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 5.1063950674e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 1.8545409882e+09 -1.04e-02 7.12e-03 2.273836e+03 -1.040942e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85454e+09 rel. change during last iteration : -1.04102e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.765 variance of residuals (reduced chisquare) = WSSR/ndf : 194274 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2273.84 +/- 4.62 (0.2032%) b = -104.094 +/- 39.56 (38%) correlation matrix of the fit parameters: a b a 1.000 b -0.216 1.000 ******************************************************************************* Fri Feb 28 14:08:31 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.7139892343e+04 0.00e+00 6.90e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.1913873489e+02 -1.68e-01 6.90e-03 1.560812e-02 9.822107e-03 4.948685e-02 After 2 iterations the fit converged. final sum of squares of residuals : 119.139 rel. change during last iteration : -1.67982e-06 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111722 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124818 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0156081 +/- 0.001243 (7.962%) bb = 0.00982211 +/- 0.002622 (26.69%) cc = 0.0494869 +/- 0.002552 (5.156%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.005 1.000 cc -0.391 -0.060 1.000 ******************************************************************************* Fri Feb 28 14:08:32 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.8093454522e+11 0.00e+00 1.61e+03 2.273836e+03 -1.040942e+02 2 1.8904282480e+09 -3.14e-01 1.61e+01 7.680124e+03 -1.135030e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89043e+09 rel. change during last iteration : -3.14195e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.01 variance of residuals (reduced chisquare) = WSSR/ndf : 198034 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7680.12 +/- 4.663 (0.06071%) b = -113.503 +/- 39.9 (35.15%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Fri Feb 28 14:08:33 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 5.5815239347e+02 0.00e+00 1.34e-01 1.560812e-02 9.822107e-03 4.948685e-02 2 1.2376979137e+02 -6.91e-02 1.34e-03 1.884890e-02 3.199294e-03 2.305484e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.77 rel. change during last iteration : -6.90624e-07 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012967 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0188489 +/- 0.001566 (8.308%) bb = 0.00319929 +/- 0.0007167 (22.4%) cc = 0.00230548 +/- 0.0003565 (15.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.113 1.000 cc -0.657 0.345 1.000 ******************************************************************************* Fri Feb 28 14:08:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7736793321e+11 0.00e+00 5.43e+03 7.680124e+03 -1.135030e+02 2 1.8966283687e+09 -7.43e-02 5.43e+01 1.305140e+04 -1.113869e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89663e+09 rel. change during last iteration : -7.43174e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.739 variance of residuals (reduced chisquare) = WSSR/ndf : 198683 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13051.4 +/- 4.67 (0.03579%) b = -111.387 +/- 39.96 (35.88%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:34 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2337432306e+02 0.00e+00 1.16e-02 1.884890e-02 3.199294e-03 2.305484e-03 2 1.2215595071e+02 -1.07e-03 1.16e-04 1.930901e-02 9.014012e-03 7.210417e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.156 rel. change during last iteration : -1.06524e-08 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113128 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127979 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.019309 +/- 0.001385 (7.175%) bb = 0.00901401 +/- 0.001143 (12.68%) cc = 0.00721042 +/- 0.0005685 (7.885%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.176 1.000 cc -0.432 0.333 1.000 ******************************************************************************* Fri Feb 28 14:08:35 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7596354053e+11 0.00e+00 9.23e+03 1.305140e+04 -1.113869e+02 2 1.9284270071e+09 -4.71e-02 9.23e+01 1.840869e+04 -1.105826e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.92843e+09 rel. change during last iteration : -4.70681e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 449.46 variance of residuals (reduced chisquare) = WSSR/ndf : 202014 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18408.7 +/- 4.71 (0.02558%) b = -110.583 +/- 40.31 (36.45%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:36 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2980747477e+02 0.00e+00 2.30e-02 1.930901e-02 9.014012e-03 7.210417e-03 2 1.2369547065e+02 -1.51e-04 2.30e-04 1.709967e-02 -1.004621e-03 2.564446e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.695 rel. change during last iteration : -1.50598e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129592 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0170997 +/- 0.001645 (9.621%) bb = -0.00100462 +/- 0.0006793 (67.62%) cc = 0.00256445 +/- 0.0003858 (15.04%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.702 0.149 1.000 ******************************************************************************* Fri Feb 28 14:08:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7729570588e+11 0.00e+00 1.30e+04 1.840869e+04 -1.105826e+02 2 1.9285571929e+09 -4.52e-02 1.30e+02 2.377900e+04 -1.100292e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.92856e+09 rel. change during last iteration : -4.51824e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 449.475 variance of residuals (reduced chisquare) = WSSR/ndf : 202028 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23779 +/- 4.71 (0.01981%) b = -110.029 +/- 40.31 (36.64%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:37 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2347513358e+02 0.00e+00 1.08e-02 1.709967e-02 -1.004621e-03 2.564446e-03 2 1.2309816906e+02 -6.01e-04 1.08e-04 1.859864e-02 -1.883027e-04 4.499885e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.098 rel. change during last iteration : -6.00572e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113563 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128966 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0185986 +/- 0.001344 (7.226%) bb = -0.000188303 +/- 0.0009988 (530.4%) cc = 0.00449988 +/- 0.0004777 (10.62%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.015 1.000 cc -0.487 0.211 1.000 ******************************************************************************* Fri Feb 28 14:08:38 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7499533613e+11 0.00e+00 1.68e+04 2.377900e+04 -1.100292e+02 4 1.9068528035e+09 -1.11e-03 1.68e+00 2.912791e+04 -1.444888e+02 After 4 iterations the fit converged. final sum of squares of residuals : 1.90685e+09 rel. change during last iteration : -1.1091e-08 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.939 variance of residuals (reduced chisquare) = WSSR/ndf : 199754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29127.9 +/- 4.684 (0.01608%) b = -144.489 +/- 40.08 (27.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:39 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2475402959e+02 0.00e+00 1.55e-02 1.859864e-02 -1.883027e-04 4.499885e-03 3 1.2356883201e+02 -8.68e-05 1.55e-05 1.784408e-02 3.241261e-03 2.773927e-03 After 3 iterations the fit converged. final sum of squares of residuals : 123.569 rel. change during last iteration : -8.67928e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11378 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129459 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0178441 +/- 0.001563 (8.758%) bb = 0.00324126 +/- 0.0007316 (22.57%) cc = 0.00277393 +/- 0.0003785 (13.64%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.132 1.000 cc -0.662 0.315 1.000 ******************************************************************************* Fri Feb 28 14:08:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7719151638e+11 0.00e+00 2.06e+04 2.912791e+04 -1.444888e+02 2 1.9071922675e+09 -3.07e-01 2.06e+02 3.449734e+04 -1.413343e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.90719e+09 rel. change during last iteration : -3.0722e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.978 variance of residuals (reduced chisquare) = WSSR/ndf : 199790 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34497.3 +/- 4.684 (0.01358%) b = -141.334 +/- 40.08 (28.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2352424726e+02 0.00e+00 1.26e-02 1.784408e-02 3.241261e-03 2.773927e-03 2 1.2351532111e+02 -1.06e-06 1.26e-04 1.739122e-02 2.870006e-03 2.972381e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.515 rel. change during last iteration : -1.06259e-11 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113756 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129403 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0173912 +/- 0.00155 (8.91%) bb = 0.00287001 +/- 0.0007254 (25.28%) cc = 0.00297238 +/- 0.0003822 (12.86%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.092 1.000 cc -0.658 0.216 1.000 ******************************************************************************* Fri Feb 28 14:08:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7556101973e+11 0.00e+00 2.44e+04 3.449734e+04 -1.413343e+02 2 1.9132262337e+09 -1.04e-01 2.44e+02 3.985090e+04 -1.426589e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91323e+09 rel. change during last iteration : -1.03637e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 447.685 variance of residuals (reduced chisquare) = WSSR/ndf : 200422 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39850.9 +/- 4.691 (0.01177%) b = -142.659 +/- 40.15 (28.14%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:42 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2346835974e+02 0.00e+00 1.20e-02 1.739122e-02 2.870006e-03 2.972381e-03 2 1.2333726439e+02 -4.61e-05 1.20e-04 1.746579e-02 9.319554e-04 3.598286e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.337 rel. change during last iteration : -4.6141e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129217 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0174658 +/- 0.001455 (8.331%) bb = 0.000931955 +/- 0.0007961 (85.43%) cc = 0.00359829 +/- 0.0004089 (11.36%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.009 1.000 cc -0.601 0.038 1.000 ******************************************************************************* Fri Feb 28 14:08:43 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7720016328e+11 0.00e+00 2.82e+04 3.985090e+04 -1.426589e+02 2 1.9127910913e+09 -4.41e-02 2.82e+02 4.522044e+04 -1.429756e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91279e+09 rel. change during last iteration : -4.4136e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 447.634 variance of residuals (reduced chisquare) = WSSR/ndf : 200376 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45220.4 +/- 4.691 (0.01037%) b = -142.976 +/- 40.14 (28.08%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:44 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2323606282e+02 0.00e+00 1.15e-02 1.746579e-02 9.319554e-04 3.598286e-03 2 1.2262715598e+02 -4.16e-02 1.15e-04 1.773265e-02 -4.509354e-03 5.518895e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.627 rel. change during last iteration : -4.16269e-07 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113346 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128473 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0177327 +/- 0.001363 (7.689%) bb = -0.00450935 +/- 0.000982 (21.78%) cc = 0.0055189 +/- 0.0005099 (9.239%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.024 1.000 cc -0.523 -0.060 1.000 ******************************************************************************* Fri Feb 28 14:08:45 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7548986110e+11 0.00e+00 3.20e+04 4.522044e+04 -1.429756e+02 2 1.9190850348e+09 -6.17e-02 3.20e+02 5.057323e+04 -1.436034e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91909e+09 rel. change during last iteration : -6.17189e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 448.37 variance of residuals (reduced chisquare) = WSSR/ndf : 201036 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50573.2 +/- 4.699 (0.009291%) b = -143.603 +/- 40.21 (28%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:45 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2464855253e+02 0.00e+00 1.61e-02 1.773265e-02 -4.509354e-03 5.518895e-03 2 1.2368331074e+02 -1.59e-05 1.61e-04 1.922820e-02 -3.571996e-03 2.529457e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.683 rel. change during last iteration : -1.58604e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113833 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129579 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0192282 +/- 0.001553 (8.074%) bb = -0.003572 +/- 0.0007519 (21.05%) cc = 0.00252946 +/- 0.0004223 (16.7%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.044 1.000 cc -0.660 -0.122 1.000 ******************************************************************************* Fri Feb 28 14:08:46 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7708011522e+11 0.00e+00 3.58e+04 5.057323e+04 -1.436034e+02 2 1.9211458887e+09 -8.04e-02 3.58e+02 5.594150e+04 -1.428327e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.92115e+09 rel. change during last iteration : -8.03555e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 448.611 variance of residuals (reduced chisquare) = WSSR/ndf : 201251 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55941.5 +/- 4.701 (0.008404%) b = -142.833 +/- 40.23 (28.17%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:47 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2330048505e+02 0.00e+00 1.23e-02 1.922820e-02 -3.571996e-03 2.529457e-03 2 1.2256306677e+02 -1.72e-04 1.23e-04 1.536131e-02 3.628839e-04 5.312001e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.563 rel. change during last iteration : -1.72092e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113316 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128406 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0153613 +/- 0.001427 (9.288%) bb = 0.000362884 +/- 0.0008555 (235.8%) cc = 0.005312 +/- 0.0004509 (8.489%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.581 0.048 1.000 ******************************************************************************* Fri Feb 28 14:08:48 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7548768554e+11 0.00e+00 3.96e+04 5.594150e+04 -1.428327e+02 2 1.9176785100e+09 -7.74e-02 3.96e+02 6.129424e+04 -1.421585e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91768e+09 rel. change during last iteration : -7.74249e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 448.206 variance of residuals (reduced chisquare) = WSSR/ndf : 200888 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61294.2 +/- 4.697 (0.007663%) b = -142.159 +/- 40.19 (28.27%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:49 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2385608984e+02 0.00e+00 1.31e-02 1.536131e-02 3.628839e-04 5.312001e-03 3 1.2332337422e+02 -7.33e-07 1.31e-05 1.911580e-02 4.460644e-03 3.642349e-03 After 3 iterations the fit converged. final sum of squares of residuals : 123.323 rel. change during last iteration : -7.32948e-12 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113667 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129202 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0191158 +/- 0.001419 (7.421%) bb = 0.00446064 +/- 0.0008804 (19.74%) cc = 0.00364235 +/- 0.0004559 (12.52%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.568 0.151 1.000 ******************************************************************************* Fri Feb 28 14:08:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7720559577e+11 0.00e+00 4.33e+04 6.129424e+04 -1.421585e+02 2 1.9122209938e+09 -7.12e-02 4.33e+02 6.666383e+04 -1.415985e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91222e+09 rel. change during last iteration : -7.11936e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 447.567 variance of residuals (reduced chisquare) = WSSR/ndf : 200316 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66663.8 +/- 4.69 (0.007036%) b = -141.599 +/- 40.14 (28.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:50 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2369201051e+02 0.00e+00 1.39e-02 1.911580e-02 4.460644e-03 3.642349e-03 2 1.2344810515e+02 -2.98e-05 1.39e-04 1.708016e-02 1.536171e-03 3.485201e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.448 rel. change during last iteration : -2.98128e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113725 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129333 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0170802 +/- 0.001527 (8.94%) bb = 0.00153617 +/- 0.0007652 (49.81%) cc = 0.0034852 +/- 0.0004271 (12.25%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.011 1.000 cc -0.647 0.023 1.000 ******************************************************************************* Fri Feb 28 14:08:51 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7505410471e+11 0.00e+00 4.71e+04 6.666383e+04 -1.415985e+02 2 1.8915915346e+09 -4.48e-02 4.71e+02 7.201260e+04 -1.413913e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89159e+09 rel. change during last iteration : -4.47656e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.147 variance of residuals (reduced chisquare) = WSSR/ndf : 198155 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72012.6 +/- 4.665 (0.006478%) b = -141.391 +/- 39.92 (28.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:52 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2308614897e+02 0.00e+00 1.16e-02 1.708016e-02 1.536171e-03 3.485201e-03 2 1.2237792474e+02 -5.53e-03 1.16e-04 1.646991e-02 -4.053192e-03 5.614745e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.378 rel. change during last iteration : -5.53207e-08 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113231 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128212 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0164699 +/- 0.001377 (8.361%) bb = -0.00405319 +/- 0.0009231 (22.77%) cc = 0.00561475 +/- 0.0004657 (8.295%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.537 -0.129 1.000 ******************************************************************************* Fri Feb 28 14:08:53 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7724147318e+11 0.00e+00 5.09e+04 7.201260e+04 -1.413913e+02 2 1.8914478661e+09 -4.01e-02 5.09e+02 7.738274e+04 -1.413526e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89145e+09 rel. change during last iteration : -4.01218e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.13 variance of residuals (reduced chisquare) = WSSR/ndf : 198140 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77382.7 +/- 4.665 (0.006028%) b = -141.353 +/- 39.92 (28.24%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:53 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2509008692e+02 0.00e+00 1.55e-02 1.646991e-02 -4.053192e-03 5.614745e-03 2 1.2393291540e+02 -3.99e-05 1.55e-04 2.032767e-02 -2.269148e-03 2.063363e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.933 rel. change during last iteration : -3.99239e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113948 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129841 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0203277 +/- 0.001542 (7.585%) bb = -0.00226915 +/- 0.0007582 (33.41%) cc = 0.00206336 +/- 0.0004262 (20.65%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.004 1.000 cc -0.654 -0.018 1.000 ******************************************************************************* Fri Feb 28 14:08:54 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7541023312e+11 0.00e+00 5.47e+04 7.738274e+04 -1.413526e+02 2 1.8983258720e+09 -4.04e-02 5.47e+02 8.273494e+04 -1.412776e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89833e+09 rel. change during last iteration : -4.04017e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.938 variance of residuals (reduced chisquare) = WSSR/ndf : 198861 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82734.9 +/- 4.673 (0.005648%) b = -141.278 +/- 39.99 (28.31%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:55 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2330911254e+02 0.00e+00 1.24e-02 2.032767e-02 -2.269148e-03 2.063363e-03 2 1.2211014522e+02 -1.10e-03 1.24e-04 1.477242e-02 1.877020e-03 6.025946e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.11 rel. change during last iteration : -1.09918e-08 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113107 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127931 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0147724 +/- 0.001406 (9.516%) bb = 0.00187702 +/- 0.0008793 (46.85%) cc = 0.00602595 +/- 0.0004582 (7.603%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.014 1.000 cc -0.566 0.054 1.000 ******************************************************************************* Fri Feb 28 14:08:56 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7725130305e+11 0.00e+00 5.85e+04 8.273494e+04 -1.412776e+02 2 1.8983667118e+09 -4.00e-02 5.85e+02 8.810511e+04 -1.412447e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89837e+09 rel. change during last iteration : -3.99653e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.943 variance of residuals (reduced chisquare) = WSSR/ndf : 198865 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88105.1 +/- 4.673 (0.005304%) b = -141.245 +/- 39.99 (28.31%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2519327259e+02 0.00e+00 1.51e-02 1.477242e-02 1.877020e-03 6.025946e-03 2 1.2386530622e+02 -2.90e-04 1.51e-04 2.097277e-02 3.182041e-03 1.963879e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.865 rel. change during last iteration : -2.90207e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113917 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012977 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0209728 +/- 0.00149 (7.104%) bb = 0.00318204 +/- 0.000786 (24.7%) cc = 0.00196388 +/- 0.000421 (21.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.015 1.000 cc -0.622 0.019 1.000 ******************************************************************************* Fri Feb 28 14:08:57 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7513508451e+11 0.00e+00 6.23e+04 8.810511e+04 -1.412447e+02 2 1.9020556169e+09 -1.41e-01 6.23e+02 9.345456e+04 -1.405432e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.90206e+09 rel. change during last iteration : -1.41026e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.376 variance of residuals (reduced chisquare) = WSSR/ndf : 199252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93454.6 +/- 4.678 (0.005005%) b = -140.543 +/- 40.03 (28.48%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:58 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2361601764e+02 0.00e+00 1.29e-02 2.097277e-02 3.182041e-03 1.963879e-03 2 1.2305587170e+02 -2.54e-04 1.29e-04 1.631984e-02 4.174814e-04 4.521289e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.056 rel. change during last iteration : -2.54233e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113544 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128922 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0163198 +/- 0.001459 (8.941%) bb = 0.000417481 +/- 0.0008335 (199.6%) cc = 0.00452129 +/- 0.0004527 (10.01%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.036 1.000 cc -0.604 0.013 1.000 ******************************************************************************* Fri Feb 28 14:08:59 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7745281984e+11 0.00e+00 6.61e+04 9.345456e+04 -1.405432e+02 2 1.8980755689e+09 -3.98e-02 6.61e+02 9.882671e+04 -1.405489e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89808e+09 rel. change during last iteration : -3.98159e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.909 variance of residuals (reduced chisquare) = WSSR/ndf : 198835 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98826.7 +/- 4.673 (0.004728%) b = -140.549 +/- 39.99 (28.45%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:08:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2371325667e+02 0.00e+00 1.30e-02 1.631984e-02 4.174814e-04 4.521289e-03 2 1.2334731105e+02 -4.81e-01 1.30e-04 1.833130e-02 -3.250362e-03 3.441276e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.347 rel. change during last iteration : -4.80536e-06 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113678 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129227 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0183313 +/- 0.001445 (7.884%) bb = -0.00325036 +/- 0.000819 (25.2%) cc = 0.00344128 +/- 0.0004234 (12.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.593 -0.067 1.000 ******************************************************************************* Fri Feb 28 14:09:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7543294206e+11 0.00e+00 6.99e+04 9.882671e+04 -1.405489e+02 2 1.9083522409e+09 -1.90e-01 6.99e+02 1.041790e+05 -1.397874e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.90835e+09 rel. change during last iteration : -1.90018e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 447.114 variance of residuals (reduced chisquare) = WSSR/ndf : 199911 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104179 +/- 4.685 (0.004498%) b = -139.787 +/- 40.1 (28.68%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Fri Feb 28 14:09:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2383012618e+02 0.00e+00 1.27e-02 1.833130e-02 -3.250362e-03 3.441276e-03 2 1.2374399433e+02 -3.57e-05 1.27e-04 1.898616e-02 -1.347752e-03 2.979107e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.744 rel. change during last iteration : -3.56656e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113861 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129643 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0189862 +/- 0.00149 (7.847%) bb = -0.00134775 +/- 0.0008131 (60.33%) cc = 0.00297911 +/- 0.0004519 (15.17%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.623 0.008 1.000 ******************************************************************************* Wed Apr 16 15:05:49 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 5.1063950674e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 1.8545409882e+09 -1.04e-02 7.12e-03 2.273836e+03 -1.040942e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.85454e+09 rel. change during last iteration : -1.04102e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.765 variance of residuals (reduced chisquare) = WSSR/ndf : 194274 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2273.84 +/- 4.62 (0.2032%) b = -104.094 +/- 39.56 (38%) correlation matrix of the fit parameters: a b a 1.000 b -0.216 1.000 ******************************************************************************* Wed Apr 16 15:05:50 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.7139892343e+04 0.00e+00 6.90e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.1913873489e+02 -1.68e-01 6.90e-03 1.560812e-02 9.822107e-03 4.948685e-02 After 2 iterations the fit converged. final sum of squares of residuals : 119.139 rel. change during last iteration : -1.67982e-06 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111722 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124818 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0156081 +/- 0.001243 (7.962%) bb = 0.00982211 +/- 0.002622 (26.69%) cc = 0.0494869 +/- 0.002552 (5.156%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.005 1.000 cc -0.391 -0.060 1.000 ******************************************************************************* Wed Apr 16 15:05:51 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.8093454522e+11 0.00e+00 1.61e+03 2.273836e+03 -1.040942e+02 2 1.8904282480e+09 -3.14e-01 1.61e+01 7.680124e+03 -1.135030e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89043e+09 rel. change during last iteration : -3.14195e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.01 variance of residuals (reduced chisquare) = WSSR/ndf : 198034 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7680.12 +/- 4.663 (0.06071%) b = -113.503 +/- 39.9 (35.15%) correlation matrix of the fit parameters: a b a 1.000 b -0.214 1.000 ******************************************************************************* Wed Apr 16 15:05:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 5.5815239347e+02 0.00e+00 1.34e-01 1.560812e-02 9.822107e-03 4.948685e-02 2 1.2376979137e+02 -6.91e-02 1.34e-03 1.884890e-02 3.199294e-03 2.305484e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.77 rel. change during last iteration : -6.90624e-07 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113873 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012967 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0188489 +/- 0.001566 (8.308%) bb = 0.00319929 +/- 0.0007167 (22.4%) cc = 0.00230548 +/- 0.0003565 (15.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.113 1.000 cc -0.657 0.345 1.000 ******************************************************************************* Wed Apr 16 15:05:52 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7736793321e+11 0.00e+00 5.43e+03 7.680124e+03 -1.135030e+02 2 1.8966283687e+09 -7.43e-02 5.43e+01 1.305140e+04 -1.113869e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89663e+09 rel. change during last iteration : -7.43174e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.739 variance of residuals (reduced chisquare) = WSSR/ndf : 198683 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13051.4 +/- 4.67 (0.03579%) b = -111.387 +/- 39.96 (35.88%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:05:53 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2337432306e+02 0.00e+00 1.16e-02 1.884890e-02 3.199294e-03 2.305484e-03 2 1.2215595071e+02 -1.07e-03 1.16e-04 1.930901e-02 9.014012e-03 7.210417e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.156 rel. change during last iteration : -1.06524e-08 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113128 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127979 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.019309 +/- 0.001385 (7.175%) bb = 0.00901401 +/- 0.001143 (12.68%) cc = 0.00721042 +/- 0.0005685 (7.885%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.176 1.000 cc -0.432 0.333 1.000 ******************************************************************************* Wed Apr 16 15:05:54 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7596354053e+11 0.00e+00 9.23e+03 1.305140e+04 -1.113869e+02 2 1.9284270071e+09 -4.71e-02 9.23e+01 1.840869e+04 -1.105826e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.92843e+09 rel. change during last iteration : -4.70681e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 449.46 variance of residuals (reduced chisquare) = WSSR/ndf : 202014 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18408.7 +/- 4.71 (0.02558%) b = -110.583 +/- 40.31 (36.45%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:05:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2980747477e+02 0.00e+00 2.30e-02 1.930901e-02 9.014012e-03 7.210417e-03 2 1.2369547065e+02 -1.51e-04 2.30e-04 1.709967e-02 -1.004621e-03 2.564446e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.695 rel. change during last iteration : -1.50598e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113838 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129592 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0170997 +/- 0.001645 (9.621%) bb = -0.00100462 +/- 0.0006793 (67.62%) cc = 0.00256445 +/- 0.0003858 (15.04%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.702 0.149 1.000 ******************************************************************************* Wed Apr 16 15:05:55 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7729570588e+11 0.00e+00 1.30e+04 1.840869e+04 -1.105826e+02 2 1.9285571929e+09 -4.52e-02 1.30e+02 2.377900e+04 -1.100292e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.92856e+09 rel. change during last iteration : -4.51824e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 449.475 variance of residuals (reduced chisquare) = WSSR/ndf : 202028 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23779 +/- 4.71 (0.01981%) b = -110.029 +/- 40.31 (36.64%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:05:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2347513358e+02 0.00e+00 1.08e-02 1.709967e-02 -1.004621e-03 2.564446e-03 2 1.2309816906e+02 -6.01e-04 1.08e-04 1.859864e-02 -1.883027e-04 4.499885e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.098 rel. change during last iteration : -6.00572e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113563 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128966 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0185986 +/- 0.001344 (7.226%) bb = -0.000188303 +/- 0.0009988 (530.4%) cc = 0.00449988 +/- 0.0004777 (10.62%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.015 1.000 cc -0.487 0.211 1.000 ******************************************************************************* Wed Apr 16 15:05:57 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7499533613e+11 0.00e+00 1.68e+04 2.377900e+04 -1.100292e+02 4 1.9068528035e+09 -1.11e-03 1.68e+00 2.912791e+04 -1.444888e+02 After 4 iterations the fit converged. final sum of squares of residuals : 1.90685e+09 rel. change during last iteration : -1.1091e-08 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.939 variance of residuals (reduced chisquare) = WSSR/ndf : 199754 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29127.9 +/- 4.684 (0.01608%) b = -144.489 +/- 40.08 (27.74%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:05:58 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2475402959e+02 0.00e+00 1.55e-02 1.859864e-02 -1.883027e-04 4.499885e-03 3 1.2356883201e+02 -8.68e-05 1.55e-05 1.784408e-02 3.241261e-03 2.773927e-03 After 3 iterations the fit converged. final sum of squares of residuals : 123.569 rel. change during last iteration : -8.67928e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11378 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129459 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0178441 +/- 0.001563 (8.758%) bb = 0.00324126 +/- 0.0007316 (22.57%) cc = 0.00277393 +/- 0.0003785 (13.64%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.132 1.000 cc -0.662 0.315 1.000 ******************************************************************************* Wed Apr 16 15:05:59 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7719151638e+11 0.00e+00 2.06e+04 2.912791e+04 -1.444888e+02 2 1.9071922675e+09 -3.07e-01 2.06e+02 3.449734e+04 -1.413343e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.90719e+09 rel. change during last iteration : -3.0722e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.978 variance of residuals (reduced chisquare) = WSSR/ndf : 199790 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34497.3 +/- 4.684 (0.01358%) b = -141.334 +/- 40.08 (28.36%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:05:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2352424726e+02 0.00e+00 1.26e-02 1.784408e-02 3.241261e-03 2.773927e-03 2 1.2351532111e+02 -1.06e-06 1.26e-04 1.739122e-02 2.870006e-03 2.972381e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.515 rel. change during last iteration : -1.06259e-11 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113756 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129403 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0173912 +/- 0.00155 (8.91%) bb = 0.00287001 +/- 0.0007254 (25.28%) cc = 0.00297238 +/- 0.0003822 (12.86%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.092 1.000 cc -0.658 0.216 1.000 ******************************************************************************* Wed Apr 16 15:06:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7556101973e+11 0.00e+00 2.44e+04 3.449734e+04 -1.413343e+02 2 1.9132262337e+09 -1.04e-01 2.44e+02 3.985090e+04 -1.426589e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91323e+09 rel. change during last iteration : -1.03637e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 447.685 variance of residuals (reduced chisquare) = WSSR/ndf : 200422 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39850.9 +/- 4.691 (0.01177%) b = -142.659 +/- 40.15 (28.14%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2346835974e+02 0.00e+00 1.20e-02 1.739122e-02 2.870006e-03 2.972381e-03 2 1.2333726439e+02 -4.61e-05 1.20e-04 1.746579e-02 9.319554e-04 3.598286e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.337 rel. change during last iteration : -4.6141e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113673 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129217 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0174658 +/- 0.001455 (8.331%) bb = 0.000931955 +/- 0.0007961 (85.43%) cc = 0.00359829 +/- 0.0004089 (11.36%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.009 1.000 cc -0.601 0.038 1.000 ******************************************************************************* Wed Apr 16 15:06:02 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7720016328e+11 0.00e+00 2.82e+04 3.985090e+04 -1.426589e+02 2 1.9127910913e+09 -4.41e-02 2.82e+02 4.522044e+04 -1.429756e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91279e+09 rel. change during last iteration : -4.4136e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 447.634 variance of residuals (reduced chisquare) = WSSR/ndf : 200376 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45220.4 +/- 4.691 (0.01037%) b = -142.976 +/- 40.14 (28.08%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:03 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2323606282e+02 0.00e+00 1.15e-02 1.746579e-02 9.319554e-04 3.598286e-03 2 1.2262715598e+02 -4.16e-02 1.15e-04 1.773265e-02 -4.509354e-03 5.518895e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.627 rel. change during last iteration : -4.16269e-07 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113346 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128473 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0177327 +/- 0.001363 (7.689%) bb = -0.00450935 +/- 0.000982 (21.78%) cc = 0.0055189 +/- 0.0005099 (9.239%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.024 1.000 cc -0.523 -0.060 1.000 ******************************************************************************* Wed Apr 16 15:06:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7548986110e+11 0.00e+00 3.20e+04 4.522044e+04 -1.429756e+02 2 1.9190850348e+09 -6.17e-02 3.20e+02 5.057323e+04 -1.436034e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91909e+09 rel. change during last iteration : -6.17189e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 448.37 variance of residuals (reduced chisquare) = WSSR/ndf : 201036 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50573.2 +/- 4.699 (0.009291%) b = -143.603 +/- 40.21 (28%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2464855253e+02 0.00e+00 1.61e-02 1.773265e-02 -4.509354e-03 5.518895e-03 2 1.2368331074e+02 -1.59e-05 1.61e-04 1.922820e-02 -3.571996e-03 2.529457e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.683 rel. change during last iteration : -1.58604e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113833 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129579 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0192282 +/- 0.001553 (8.074%) bb = -0.003572 +/- 0.0007519 (21.05%) cc = 0.00252946 +/- 0.0004223 (16.7%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.044 1.000 cc -0.660 -0.122 1.000 ******************************************************************************* Wed Apr 16 15:06:05 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7708011522e+11 0.00e+00 3.58e+04 5.057323e+04 -1.436034e+02 2 1.9211458887e+09 -8.04e-02 3.58e+02 5.594150e+04 -1.428327e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.92115e+09 rel. change during last iteration : -8.03555e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 448.611 variance of residuals (reduced chisquare) = WSSR/ndf : 201251 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55941.5 +/- 4.701 (0.008404%) b = -142.833 +/- 40.23 (28.17%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:06 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2330048505e+02 0.00e+00 1.23e-02 1.922820e-02 -3.571996e-03 2.529457e-03 2 1.2256306677e+02 -1.72e-04 1.23e-04 1.536131e-02 3.628839e-04 5.312001e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.563 rel. change during last iteration : -1.72092e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113316 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128406 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0153613 +/- 0.001427 (9.288%) bb = 0.000362884 +/- 0.0008555 (235.8%) cc = 0.005312 +/- 0.0004509 (8.489%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.581 0.048 1.000 ******************************************************************************* Wed Apr 16 15:06:06 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7548768554e+11 0.00e+00 3.96e+04 5.594150e+04 -1.428327e+02 2 1.9176785100e+09 -7.74e-02 3.96e+02 6.129424e+04 -1.421585e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91768e+09 rel. change during last iteration : -7.74249e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 448.206 variance of residuals (reduced chisquare) = WSSR/ndf : 200888 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61294.2 +/- 4.697 (0.007663%) b = -142.159 +/- 40.19 (28.27%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:07 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2385608984e+02 0.00e+00 1.31e-02 1.536131e-02 3.628839e-04 5.312001e-03 3 1.2332337422e+02 -7.33e-07 1.31e-05 1.911580e-02 4.460644e-03 3.642349e-03 After 3 iterations the fit converged. final sum of squares of residuals : 123.323 rel. change during last iteration : -7.32948e-12 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113667 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129202 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0191158 +/- 0.001419 (7.421%) bb = 0.00446064 +/- 0.0008804 (19.74%) cc = 0.00364235 +/- 0.0004559 (12.52%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.568 0.151 1.000 ******************************************************************************* Wed Apr 16 15:06:08 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7720559577e+11 0.00e+00 4.33e+04 6.129424e+04 -1.421585e+02 2 1.9122209938e+09 -7.12e-02 4.33e+02 6.666383e+04 -1.415985e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.91222e+09 rel. change during last iteration : -7.11936e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 447.567 variance of residuals (reduced chisquare) = WSSR/ndf : 200316 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66663.8 +/- 4.69 (0.007036%) b = -141.599 +/- 40.14 (28.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:09 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2369201051e+02 0.00e+00 1.39e-02 1.911580e-02 4.460644e-03 3.642349e-03 2 1.2344810515e+02 -2.98e-05 1.39e-04 1.708016e-02 1.536171e-03 3.485201e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.448 rel. change during last iteration : -2.98128e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113725 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129333 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0170802 +/- 0.001527 (8.94%) bb = 0.00153617 +/- 0.0007652 (49.81%) cc = 0.0034852 +/- 0.0004271 (12.25%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.011 1.000 cc -0.647 0.023 1.000 ******************************************************************************* Wed Apr 16 15:06:10 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7505410471e+11 0.00e+00 4.71e+04 6.666383e+04 -1.415985e+02 2 1.8915915346e+09 -4.48e-02 4.71e+02 7.201260e+04 -1.413913e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89159e+09 rel. change during last iteration : -4.47656e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.147 variance of residuals (reduced chisquare) = WSSR/ndf : 198155 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72012.6 +/- 4.665 (0.006478%) b = -141.391 +/- 39.92 (28.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:10 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2308614897e+02 0.00e+00 1.16e-02 1.708016e-02 1.536171e-03 3.485201e-03 2 1.2237792474e+02 -5.53e-03 1.16e-04 1.646991e-02 -4.053192e-03 5.614745e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.378 rel. change during last iteration : -5.53207e-08 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113231 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128212 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0164699 +/- 0.001377 (8.361%) bb = -0.00405319 +/- 0.0009231 (22.77%) cc = 0.00561475 +/- 0.0004657 (8.295%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.537 -0.129 1.000 ******************************************************************************* Wed Apr 16 15:06:11 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7724147318e+11 0.00e+00 5.09e+04 7.201260e+04 -1.413913e+02 2 1.8914478661e+09 -4.01e-02 5.09e+02 7.738274e+04 -1.413526e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89145e+09 rel. change during last iteration : -4.01218e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.13 variance of residuals (reduced chisquare) = WSSR/ndf : 198140 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77382.7 +/- 4.665 (0.006028%) b = -141.353 +/- 39.92 (28.24%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:12 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2509008692e+02 0.00e+00 1.55e-02 1.646991e-02 -4.053192e-03 5.614745e-03 2 1.2393291540e+02 -3.99e-05 1.55e-04 2.032767e-02 -2.269148e-03 2.063363e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.933 rel. change during last iteration : -3.99239e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113948 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129841 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0203277 +/- 0.001542 (7.585%) bb = -0.00226915 +/- 0.0007582 (33.41%) cc = 0.00206336 +/- 0.0004262 (20.65%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.004 1.000 cc -0.654 -0.018 1.000 ******************************************************************************* Wed Apr 16 15:06:13 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7541023312e+11 0.00e+00 5.47e+04 7.738274e+04 -1.413526e+02 2 1.8983258720e+09 -4.04e-02 5.47e+02 8.273494e+04 -1.412776e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89833e+09 rel. change during last iteration : -4.04017e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.938 variance of residuals (reduced chisquare) = WSSR/ndf : 198861 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82734.9 +/- 4.673 (0.005648%) b = -141.278 +/- 39.99 (28.31%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:13 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2330911254e+02 0.00e+00 1.24e-02 2.032767e-02 -2.269148e-03 2.063363e-03 2 1.2211014522e+02 -1.10e-03 1.24e-04 1.477242e-02 1.877020e-03 6.025946e-03 After 2 iterations the fit converged. final sum of squares of residuals : 122.11 rel. change during last iteration : -1.09918e-08 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113107 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127931 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0147724 +/- 0.001406 (9.516%) bb = 0.00187702 +/- 0.0008793 (46.85%) cc = 0.00602595 +/- 0.0004582 (7.603%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.014 1.000 cc -0.566 0.054 1.000 ******************************************************************************* Wed Apr 16 15:06:14 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7725130305e+11 0.00e+00 5.85e+04 8.273494e+04 -1.412776e+02 2 1.8983667118e+09 -4.00e-02 5.85e+02 8.810511e+04 -1.412447e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89837e+09 rel. change during last iteration : -3.99653e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.943 variance of residuals (reduced chisquare) = WSSR/ndf : 198865 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88105.1 +/- 4.673 (0.005304%) b = -141.245 +/- 39.99 (28.31%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2519327259e+02 0.00e+00 1.51e-02 1.477242e-02 1.877020e-03 6.025946e-03 2 1.2386530622e+02 -2.90e-04 1.51e-04 2.097277e-02 3.182041e-03 1.963879e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.865 rel. change during last iteration : -2.90207e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113917 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012977 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0209728 +/- 0.00149 (7.104%) bb = 0.00318204 +/- 0.000786 (24.7%) cc = 0.00196388 +/- 0.000421 (21.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.015 1.000 cc -0.622 0.019 1.000 ******************************************************************************* Wed Apr 16 15:06:16 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7513508451e+11 0.00e+00 6.23e+04 8.810511e+04 -1.412447e+02 2 1.9020556169e+09 -1.41e-01 6.23e+02 9.345456e+04 -1.405432e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.90206e+09 rel. change during last iteration : -1.41026e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.376 variance of residuals (reduced chisquare) = WSSR/ndf : 199252 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93454.6 +/- 4.678 (0.005005%) b = -140.543 +/- 40.03 (28.48%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:16 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2361601764e+02 0.00e+00 1.29e-02 2.097277e-02 3.182041e-03 1.963879e-03 2 1.2305587170e+02 -2.54e-04 1.29e-04 1.631984e-02 4.174814e-04 4.521289e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.056 rel. change during last iteration : -2.54233e-09 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113544 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0128922 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0163198 +/- 0.001459 (8.941%) bb = 0.000417481 +/- 0.0008335 (199.6%) cc = 0.00452129 +/- 0.0004527 (10.01%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.036 1.000 cc -0.604 0.013 1.000 ******************************************************************************* Wed Apr 16 15:06:17 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7745281984e+11 0.00e+00 6.61e+04 9.345456e+04 -1.405432e+02 2 1.8980755689e+09 -3.98e-02 6.61e+02 9.882671e+04 -1.405489e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.89808e+09 rel. change during last iteration : -3.98159e-07 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.909 variance of residuals (reduced chisquare) = WSSR/ndf : 198835 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98826.7 +/- 4.673 (0.004728%) b = -140.549 +/- 39.99 (28.45%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:18 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2371325667e+02 0.00e+00 1.30e-02 1.631984e-02 4.174814e-04 4.521289e-03 2 1.2334731105e+02 -4.81e-01 1.30e-04 1.833130e-02 -3.250362e-03 3.441276e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.347 rel. change during last iteration : -4.80536e-06 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113678 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129227 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0183313 +/- 0.001445 (7.884%) bb = -0.00325036 +/- 0.000819 (25.2%) cc = 0.00344128 +/- 0.0004234 (12.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.593 -0.067 1.000 ******************************************************************************* Wed Apr 16 15:06:19 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 9548 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 2.7543294206e+11 0.00e+00 6.99e+04 9.882671e+04 -1.405489e+02 2 1.9083522409e+09 -1.90e-01 6.99e+02 1.041790e+05 -1.397874e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.90835e+09 rel. change during last iteration : -1.90018e-06 degrees of freedom (FIT_NDF) : 9546 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 447.114 variance of residuals (reduced chisquare) = WSSR/ndf : 199911 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104179 +/- 4.685 (0.004498%) b = -139.787 +/- 40.1 (28.68%) correlation matrix of the fit parameters: a b a 1.000 b -0.215 1.000 ******************************************************************************* Wed Apr 16 15:06:19 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 9548 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.2383012618e+02 0.00e+00 1.27e-02 1.833130e-02 -3.250362e-03 3.441276e-03 2 1.2374399433e+02 -3.57e-05 1.27e-04 1.898616e-02 -1.347752e-03 2.979107e-03 After 2 iterations the fit converged. final sum of squares of residuals : 123.744 rel. change during last iteration : -3.56656e-10 degrees of freedom (FIT_NDF) : 9545 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113861 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0129643 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0189862 +/- 0.00149 (7.847%) bb = -0.00134775 +/- 0.0008131 (60.33%) cc = 0.00297911 +/- 0.0004519 (15.17%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.623 0.008 1.000