******************************************************************************* Tue Feb 18 20:07:54 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.7673387510e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.0391213808e+03 -1.87e-03 7.07e-05 2.285206e+00 -1.634139e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1039.12 rel. change during last iteration : -1.87111e-08 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196209 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28521 +/- 0.006112 (0.2675%) b = -16.3414 +/- 5.398 (33.03%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Tue Feb 18 20:07:55 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5626054839e+05 0.00e+00 1.62e+00 2.285206e+00 -1.634139e+01 2 1.0494722677e+03 -1.64e-01 1.62e-02 7.697835e+00 -1.669006e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.47 rel. change during last iteration : -1.6429e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445155 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198163 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.69784 +/- 0.006141 (0.07978%) b = -16.6901 +/- 5.419 (32.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:07:55 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384324784e+05 0.00e+00 5.44e+00 7.697835e+00 -1.669006e+01 2 1.0491833326e+03 -1.33e-01 5.44e-02 1.306813e+01 -1.675147e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.18 rel. change during last iteration : -1.32695e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445094 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198109 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0681 +/- 0.00614 (0.04699%) b = -16.7515 +/- 5.417 (32.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:07:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5278341261e+05 0.00e+00 9.24e+00 1.306813e+01 -1.675147e+01 2 1.0489850073e+03 -1.29e-01 9.24e-02 1.841976e+01 -1.674547e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.99 rel. change during last iteration : -1.2884e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445052 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198071 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4198 +/- 0.00614 (0.03333%) b = -16.7455 +/- 5.417 (32.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:07:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384151406e+05 0.00e+00 1.30e+01 1.841976e+01 -1.674547e+01 2 1.0491486846e+03 -1.31e-01 1.30e-01 2.379001e+01 -1.676696e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.15 rel. change during last iteration : -1.30518e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198102 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.79 +/- 0.006141 (0.02581%) b = -16.767 +/- 5.419 (32.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:07:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283723416e+05 0.00e+00 1.68e+01 2.379001e+01 -1.676696e+01 3 1.0487430797e+03 -4.97e-01 1.68e-02 2.914275e+01 -1.823147e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1048.74 rel. change during last iteration : -4.96734e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445001 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1427 +/- 0.00614 (0.02107%) b = -18.2315 +/- 5.418 (29.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:07:57 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384251124e+05 0.00e+00 2.06e+01 2.914275e+01 -1.823147e+01 2 1.0491054001e+03 -1.30e-01 2.06e-01 3.451302e+01 -1.823559e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.11 rel. change during last iteration : -1.2975e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198094 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.513 +/- 0.006141 (0.01779%) b = -18.2356 +/- 5.418 (29.71%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:07:57 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5269834490e+05 0.00e+00 2.44e+01 3.451302e+01 -1.823559e+01 2 1.0491192355e+03 -8.51e-01 2.44e-01 3.986310e+01 -1.780771e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.12 rel. change during last iteration : -8.5101e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44508 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8631 +/- 0.006141 (0.0154%) b = -17.8077 +/- 5.418 (30.43%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:07:57 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5385091538e+05 0.00e+00 2.82e+01 3.986310e+01 -1.780771e+01 2 1.0489485722e+03 -3.83e-01 2.82e-01 4.523350e+01 -1.758883e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.95 rel. change during last iteration : -3.82668e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2335 +/- 0.00614 (0.01357%) b = -17.5888 +/- 5.418 (30.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:07:58 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283114892e+05 0.00e+00 3.20e+01 4.523350e+01 -1.758883e+01 2 1.0490592351e+03 -2.06e-01 3.20e-01 5.058599e+01 -1.769513e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.06 rel. change during last iteration : -2.05607e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445068 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198085 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.586 +/- 0.00614 (0.01214%) b = -17.6951 +/- 5.418 (30.62%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:07:58 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384839291e+05 0.00e+00 3.58e+01 5.058599e+01 -1.769513e+01 2 1.0491755134e+03 -1.85e-01 3.58e-01 5.595637e+01 -1.777730e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.18 rel. change during last iteration : -1.85421e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445092 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198107 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9564 +/- 0.006141 (0.01097%) b = -17.7773 +/- 5.418 (30.48%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:07:59 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5269807748e+05 0.00e+00 3.96e+01 5.595637e+01 -1.777730e+01 2 1.0486401277e+03 -2.94e-01 3.96e-01 6.130649e+01 -1.764777e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.64 rel. change during last iteration : -2.94186e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444979 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198006 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.3065 +/- 0.006139 (0.01001%) b = -17.6478 +/- 5.417 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:07:59 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5383961000e+05 0.00e+00 4.34e+01 6.130649e+01 -1.764777e+01 2 1.0491677216e+03 -2.38e-01 4.34e-01 6.667670e+01 -1.755218e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.17 rel. change during last iteration : -2.38123e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445091 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198106 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6767 +/- 0.006141 (0.00921%) b = -17.5522 +/- 5.418 (30.87%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:07:59 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283934565e+05 0.00e+00 4.71e+01 6.667670e+01 -1.755218e+01 2 1.0489559470e+03 -1.76e-01 4.71e-01 7.202932e+01 -1.761022e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.96 rel. change during last iteration : -1.76383e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445046 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0293 +/- 0.00614 (0.008524%) b = -17.6102 +/- 5.418 (30.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:08:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5383517178e+05 0.00e+00 5.09e+01 7.202932e+01 -1.761022e+01 2 1.0483267804e+03 -1.74e-01 5.09e-01 7.739948e+01 -1.766214e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.33 rel. change during last iteration : -1.73643e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197947 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3995 +/- 0.006138 (0.007931%) b = -17.6621 +/- 5.416 (30.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:08:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5277577573e+05 0.00e+00 5.47e+01 7.739948e+01 -1.766214e+01 2 1.0484278029e+03 -1.63e-01 5.47e-01 8.275099e+01 -1.770478e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.43 rel. change during last iteration : -1.62677e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444934 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.751 +/- 0.006139 (0.007418%) b = -17.7048 +/- 5.416 (30.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:08:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5377346667e+05 0.00e+00 5.85e+01 8.275099e+01 -1.770478e+01 2 1.0490050620e+03 -2.05e-01 5.85e-01 8.812005e+01 -1.764483e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.01 rel. change during last iteration : -2.05136e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.12 +/- 0.00614 (0.006968%) b = -17.6448 +/- 5.418 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:08:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5276681056e+05 0.00e+00 6.23e+01 8.812005e+01 -1.764483e+01 2 1.0489171438e+03 -1.87e-01 6.23e-01 9.347138e+01 -1.759541e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.92 rel. change during last iteration : -1.87153e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445037 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4714 +/- 0.00614 (0.006569%) b = -17.5954 +/- 5.418 (30.79%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:08:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384520381e+05 0.00e+00 6.61e+01 9.347138e+01 -1.759541e+01 2 1.0491225948e+03 -1.68e-01 6.61e-01 9.884170e+01 -1.755785e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.12 rel. change during last iteration : -1.67705e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445081 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8417 +/- 0.006141 (0.006213%) b = -17.5579 +/- 5.418 (30.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:08:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5272671196e+05 0.00e+00 6.99e+01 9.884170e+01 -1.755785e+01 2 1.0466668911e+03 -2.02e-01 6.99e-01 1.041924e+02 -1.750867e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1046.67 rel. change during last iteration : -2.02266e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197633 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.192 +/- 0.006133 (0.005887%) b = -17.5087 +/- 5.412 (30.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:08:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 3777 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 1.0972014959e+05 0.00e+00 7.37e+01 1.041924e+02 -1.750867e+01 2 7.7276917036e+02 -3.19e-01 7.37e-01 1.095631e+02 -1.754846e+01 After 2 iterations the fit converged. final sum of squares of residuals : 772.769 rel. change during last iteration : -3.18986e-06 degrees of freedom (FIT_NDF) : 3775 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452446 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204707 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.563 +/- 0.009256 (0.008448%) b = -17.5485 +/- 8.826 (50.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.606 1.000 ******************************************************************************* Tue Feb 18 20:12:36 2025 FIT: data read from 'all_phase_space_at_52136_ns.dat_trimmed_sorted' u 9:15 format = x:z #datapoints = 5298 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 3.0923278625e+07 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.0483240409e+03 -2.29e-03 7.07e-05 7.739955e+01 -1.829931e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1048.32 rel. change during last iteration : -2.28952e-08 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197946 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3995 +/- 0.006138 (0.007931%) b = -18.2993 +/- 5.416 (29.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.7673387510e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.0391213808e+03 -1.87e-03 7.07e-05 2.285206e+00 -1.634139e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1039.12 rel. change during last iteration : -1.87111e-08 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196209 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28521 +/- 0.006112 (0.2675%) b = -16.3414 +/- 5.398 (33.03%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Tue Feb 18 20:24:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5626054839e+05 0.00e+00 1.62e+00 2.285206e+00 -1.634139e+01 2 1.0494722677e+03 -1.64e-01 1.62e-02 7.697835e+00 -1.669006e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.47 rel. change during last iteration : -1.6429e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445155 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198163 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.69784 +/- 0.006141 (0.07978%) b = -16.6901 +/- 5.419 (32.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:24:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384324784e+05 0.00e+00 5.44e+00 7.697835e+00 -1.669006e+01 2 1.0491833326e+03 -1.33e-01 5.44e-02 1.306813e+01 -1.675147e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.18 rel. change during last iteration : -1.32695e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445094 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198109 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0681 +/- 0.00614 (0.04699%) b = -16.7515 +/- 5.417 (32.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:24:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5278341261e+05 0.00e+00 9.24e+00 1.306813e+01 -1.675147e+01 2 1.0489850073e+03 -1.29e-01 9.24e-02 1.841976e+01 -1.674547e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.99 rel. change during last iteration : -1.2884e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445052 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198071 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4198 +/- 0.00614 (0.03333%) b = -16.7455 +/- 5.417 (32.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:24:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384151406e+05 0.00e+00 1.30e+01 1.841976e+01 -1.674547e+01 2 1.0491486846e+03 -1.31e-01 1.30e-01 2.379001e+01 -1.676696e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.15 rel. change during last iteration : -1.30518e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198102 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.79 +/- 0.006141 (0.02581%) b = -16.767 +/- 5.419 (32.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:24:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283723416e+05 0.00e+00 1.68e+01 2.379001e+01 -1.676696e+01 3 1.0487430797e+03 -4.97e-01 1.68e-02 2.914275e+01 -1.823147e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1048.74 rel. change during last iteration : -4.96734e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445001 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1427 +/- 0.00614 (0.02107%) b = -18.2315 +/- 5.418 (29.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384251124e+05 0.00e+00 2.06e+01 2.914275e+01 -1.823147e+01 2 1.0491054001e+03 -1.30e-01 2.06e-01 3.451302e+01 -1.823559e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.11 rel. change during last iteration : -1.2975e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198094 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.513 +/- 0.006141 (0.01779%) b = -18.2356 +/- 5.418 (29.71%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:24:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5269834490e+05 0.00e+00 2.44e+01 3.451302e+01 -1.823559e+01 2 1.0491192355e+03 -8.51e-01 2.44e-01 3.986310e+01 -1.780771e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.12 rel. change during last iteration : -8.5101e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44508 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8631 +/- 0.006141 (0.0154%) b = -17.8077 +/- 5.418 (30.43%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:24:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5385091538e+05 0.00e+00 2.82e+01 3.986310e+01 -1.780771e+01 2 1.0489485722e+03 -3.83e-01 2.82e-01 4.523350e+01 -1.758883e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.95 rel. change during last iteration : -3.82668e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2335 +/- 0.00614 (0.01357%) b = -17.5888 +/- 5.418 (30.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283114892e+05 0.00e+00 3.20e+01 4.523350e+01 -1.758883e+01 2 1.0490592351e+03 -2.06e-01 3.20e-01 5.058599e+01 -1.769513e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.06 rel. change during last iteration : -2.05607e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445068 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198085 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.586 +/- 0.00614 (0.01214%) b = -17.6951 +/- 5.418 (30.62%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:24:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384839291e+05 0.00e+00 3.58e+01 5.058599e+01 -1.769513e+01 2 1.0491755134e+03 -1.85e-01 3.58e-01 5.595637e+01 -1.777730e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.18 rel. change during last iteration : -1.85421e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445092 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198107 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9564 +/- 0.006141 (0.01097%) b = -17.7773 +/- 5.418 (30.48%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5269807748e+05 0.00e+00 3.96e+01 5.595637e+01 -1.777730e+01 2 1.0486401277e+03 -2.94e-01 3.96e-01 6.130649e+01 -1.764777e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.64 rel. change during last iteration : -2.94186e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444979 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198006 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.3065 +/- 0.006139 (0.01001%) b = -17.6478 +/- 5.417 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5383961000e+05 0.00e+00 4.34e+01 6.130649e+01 -1.764777e+01 2 1.0491677216e+03 -2.38e-01 4.34e-01 6.667670e+01 -1.755218e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.17 rel. change during last iteration : -2.38123e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445091 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198106 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6767 +/- 0.006141 (0.00921%) b = -17.5522 +/- 5.418 (30.87%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:24:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283934565e+05 0.00e+00 4.71e+01 6.667670e+01 -1.755218e+01 2 1.0489559470e+03 -1.76e-01 4.71e-01 7.202932e+01 -1.761022e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.96 rel. change during last iteration : -1.76383e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445046 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0293 +/- 0.00614 (0.008524%) b = -17.6102 +/- 5.418 (30.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5383517178e+05 0.00e+00 5.09e+01 7.202932e+01 -1.761022e+01 2 1.0483267804e+03 -1.74e-01 5.09e-01 7.739948e+01 -1.766214e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.33 rel. change during last iteration : -1.73643e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197947 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3995 +/- 0.006138 (0.007931%) b = -17.6621 +/- 5.416 (30.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5277577573e+05 0.00e+00 5.47e+01 7.739948e+01 -1.766214e+01 2 1.0484278029e+03 -1.63e-01 5.47e-01 8.275099e+01 -1.770478e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.43 rel. change during last iteration : -1.62677e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444934 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.751 +/- 0.006139 (0.007418%) b = -17.7048 +/- 5.416 (30.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5377346667e+05 0.00e+00 5.85e+01 8.275099e+01 -1.770478e+01 2 1.0490050620e+03 -2.05e-01 5.85e-01 8.812005e+01 -1.764483e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.01 rel. change during last iteration : -2.05136e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.12 +/- 0.00614 (0.006968%) b = -17.6448 +/- 5.418 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5276681056e+05 0.00e+00 6.23e+01 8.812005e+01 -1.764483e+01 2 1.0489171438e+03 -1.87e-01 6.23e-01 9.347138e+01 -1.759541e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.92 rel. change during last iteration : -1.87153e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445037 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4714 +/- 0.00614 (0.006569%) b = -17.5954 +/- 5.418 (30.79%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384520381e+05 0.00e+00 6.61e+01 9.347138e+01 -1.759541e+01 2 1.0491225948e+03 -1.68e-01 6.61e-01 9.884170e+01 -1.755785e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.12 rel. change during last iteration : -1.67705e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445081 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8417 +/- 0.006141 (0.006213%) b = -17.5579 +/- 5.418 (30.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5272671196e+05 0.00e+00 6.99e+01 9.884170e+01 -1.755785e+01 2 1.0466668911e+03 -2.02e-01 6.99e-01 1.041924e+02 -1.750867e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1046.67 rel. change during last iteration : -2.02266e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197633 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.192 +/- 0.006133 (0.005887%) b = -17.5087 +/- 5.412 (30.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:24:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 3777 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 1.0972014959e+05 0.00e+00 7.37e+01 1.041924e+02 -1.750867e+01 2 7.7276917036e+02 -3.19e-01 7.37e-01 1.095631e+02 -1.754846e+01 After 2 iterations the fit converged. final sum of squares of residuals : 772.769 rel. change during last iteration : -3.18986e-06 degrees of freedom (FIT_NDF) : 3775 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452446 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204707 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.563 +/- 0.009256 (0.008448%) b = -17.5485 +/- 8.826 (50.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.606 1.000 ******************************************************************************* Tue Feb 18 20:26:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.7673387510e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.0391213808e+03 -1.87e-03 7.07e-05 2.285206e+00 -1.634139e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1039.12 rel. change during last iteration : -1.87111e-08 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196209 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28521 +/- 0.006112 (0.2675%) b = -16.3414 +/- 5.398 (33.03%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Tue Feb 18 20:26:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5626054839e+05 0.00e+00 1.62e+00 2.285206e+00 -1.634139e+01 2 1.0494722677e+03 -1.64e-01 1.62e-02 7.697835e+00 -1.669006e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.47 rel. change during last iteration : -1.6429e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445155 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198163 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.69784 +/- 0.006141 (0.07978%) b = -16.6901 +/- 5.419 (32.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:26:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384324784e+05 0.00e+00 5.44e+00 7.697835e+00 -1.669006e+01 2 1.0491833326e+03 -1.33e-01 5.44e-02 1.306813e+01 -1.675147e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.18 rel. change during last iteration : -1.32695e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445094 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198109 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0681 +/- 0.00614 (0.04699%) b = -16.7515 +/- 5.417 (32.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:26:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5278341261e+05 0.00e+00 9.24e+00 1.306813e+01 -1.675147e+01 2 1.0489850073e+03 -1.29e-01 9.24e-02 1.841976e+01 -1.674547e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.99 rel. change during last iteration : -1.2884e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445052 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198071 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4198 +/- 0.00614 (0.03333%) b = -16.7455 +/- 5.417 (32.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:26:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384151406e+05 0.00e+00 1.30e+01 1.841976e+01 -1.674547e+01 2 1.0491486846e+03 -1.31e-01 1.30e-01 2.379001e+01 -1.676696e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.15 rel. change during last iteration : -1.30518e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198102 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.79 +/- 0.006141 (0.02581%) b = -16.767 +/- 5.419 (32.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:26:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283723416e+05 0.00e+00 1.68e+01 2.379001e+01 -1.676696e+01 3 1.0487430797e+03 -4.97e-01 1.68e-02 2.914275e+01 -1.823147e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1048.74 rel. change during last iteration : -4.96734e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445001 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1427 +/- 0.00614 (0.02107%) b = -18.2315 +/- 5.418 (29.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384251124e+05 0.00e+00 2.06e+01 2.914275e+01 -1.823147e+01 2 1.0491054001e+03 -1.30e-01 2.06e-01 3.451302e+01 -1.823559e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.11 rel. change during last iteration : -1.2975e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198094 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.513 +/- 0.006141 (0.01779%) b = -18.2356 +/- 5.418 (29.71%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:26:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5269834490e+05 0.00e+00 2.44e+01 3.451302e+01 -1.823559e+01 2 1.0491192355e+03 -8.51e-01 2.44e-01 3.986310e+01 -1.780771e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.12 rel. change during last iteration : -8.5101e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44508 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8631 +/- 0.006141 (0.0154%) b = -17.8077 +/- 5.418 (30.43%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:26:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5385091538e+05 0.00e+00 2.82e+01 3.986310e+01 -1.780771e+01 2 1.0489485722e+03 -3.83e-01 2.82e-01 4.523350e+01 -1.758883e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.95 rel. change during last iteration : -3.82668e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2335 +/- 0.00614 (0.01357%) b = -17.5888 +/- 5.418 (30.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283114892e+05 0.00e+00 3.20e+01 4.523350e+01 -1.758883e+01 2 1.0490592351e+03 -2.06e-01 3.20e-01 5.058599e+01 -1.769513e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.06 rel. change during last iteration : -2.05607e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445068 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198085 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.586 +/- 0.00614 (0.01214%) b = -17.6951 +/- 5.418 (30.62%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:26:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384839291e+05 0.00e+00 3.58e+01 5.058599e+01 -1.769513e+01 2 1.0491755134e+03 -1.85e-01 3.58e-01 5.595637e+01 -1.777730e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.18 rel. change during last iteration : -1.85421e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445092 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198107 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9564 +/- 0.006141 (0.01097%) b = -17.7773 +/- 5.418 (30.48%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5269807748e+05 0.00e+00 3.96e+01 5.595637e+01 -1.777730e+01 2 1.0486401277e+03 -2.94e-01 3.96e-01 6.130649e+01 -1.764777e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.64 rel. change during last iteration : -2.94186e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444979 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198006 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.3065 +/- 0.006139 (0.01001%) b = -17.6478 +/- 5.417 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5383961000e+05 0.00e+00 4.34e+01 6.130649e+01 -1.764777e+01 2 1.0491677216e+03 -2.38e-01 4.34e-01 6.667670e+01 -1.755218e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.17 rel. change during last iteration : -2.38123e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445091 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198106 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6767 +/- 0.006141 (0.00921%) b = -17.5522 +/- 5.418 (30.87%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:26:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283934565e+05 0.00e+00 4.71e+01 6.667670e+01 -1.755218e+01 2 1.0489559470e+03 -1.76e-01 4.71e-01 7.202932e+01 -1.761022e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.96 rel. change during last iteration : -1.76383e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445046 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0293 +/- 0.00614 (0.008524%) b = -17.6102 +/- 5.418 (30.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5383517178e+05 0.00e+00 5.09e+01 7.202932e+01 -1.761022e+01 2 1.0483267804e+03 -1.74e-01 5.09e-01 7.739948e+01 -1.766214e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.33 rel. change during last iteration : -1.73643e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197947 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3995 +/- 0.006138 (0.007931%) b = -17.6621 +/- 5.416 (30.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5277577573e+05 0.00e+00 5.47e+01 7.739948e+01 -1.766214e+01 2 1.0484278029e+03 -1.63e-01 5.47e-01 8.275099e+01 -1.770478e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.43 rel. change during last iteration : -1.62677e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444934 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.751 +/- 0.006139 (0.007418%) b = -17.7048 +/- 5.416 (30.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5377346667e+05 0.00e+00 5.85e+01 8.275099e+01 -1.770478e+01 2 1.0490050620e+03 -2.05e-01 5.85e-01 8.812005e+01 -1.764483e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.01 rel. change during last iteration : -2.05136e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.12 +/- 0.00614 (0.006968%) b = -17.6448 +/- 5.418 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5276681056e+05 0.00e+00 6.23e+01 8.812005e+01 -1.764483e+01 2 1.0489171438e+03 -1.87e-01 6.23e-01 9.347138e+01 -1.759541e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.92 rel. change during last iteration : -1.87153e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445037 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4714 +/- 0.00614 (0.006569%) b = -17.5954 +/- 5.418 (30.79%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384520381e+05 0.00e+00 6.61e+01 9.347138e+01 -1.759541e+01 2 1.0491225948e+03 -1.68e-01 6.61e-01 9.884170e+01 -1.755785e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.12 rel. change during last iteration : -1.67705e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445081 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8417 +/- 0.006141 (0.006213%) b = -17.5579 +/- 5.418 (30.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5272671196e+05 0.00e+00 6.99e+01 9.884170e+01 -1.755785e+01 2 1.0466668911e+03 -2.02e-01 6.99e-01 1.041924e+02 -1.750867e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1046.67 rel. change during last iteration : -2.02266e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197633 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.192 +/- 0.006133 (0.005887%) b = -17.5087 +/- 5.412 (30.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:26:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 3777 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 1.0972014959e+05 0.00e+00 7.37e+01 1.041924e+02 -1.750867e+01 2 7.7276917036e+02 -3.19e-01 7.37e-01 1.095631e+02 -1.754846e+01 After 2 iterations the fit converged. final sum of squares of residuals : 772.769 rel. change during last iteration : -3.18986e-06 degrees of freedom (FIT_NDF) : 3775 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452446 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204707 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.563 +/- 0.009256 (0.008448%) b = -17.5485 +/- 8.826 (50.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.606 1.000 ******************************************************************************* Tue Feb 18 20:32:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.7673387510e+03 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 4 1.0391213808e+03 -1.87e-03 7.07e-05 2.285206e+00 -1.634139e+01 After 4 iterations the fit converged. final sum of squares of residuals : 1039.12 rel. change during last iteration : -1.87111e-08 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.442955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.196209 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.28521 +/- 0.006112 (0.2675%) b = -16.3414 +/- 5.398 (33.03%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Tue Feb 18 20:32:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5626054839e+05 0.00e+00 1.62e+00 2.285206e+00 -1.634139e+01 2 1.0494722677e+03 -1.64e-01 1.62e-02 7.697835e+00 -1.669006e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.47 rel. change during last iteration : -1.6429e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445155 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198163 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.69784 +/- 0.006141 (0.07978%) b = -16.6901 +/- 5.419 (32.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:32:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384324784e+05 0.00e+00 5.44e+00 7.697835e+00 -1.669006e+01 2 1.0491833326e+03 -1.33e-01 5.44e-02 1.306813e+01 -1.675147e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.18 rel. change during last iteration : -1.32695e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445094 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198109 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0681 +/- 0.00614 (0.04699%) b = -16.7515 +/- 5.417 (32.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:32:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5278341261e+05 0.00e+00 9.24e+00 1.306813e+01 -1.675147e+01 2 1.0489850073e+03 -1.29e-01 9.24e-02 1.841976e+01 -1.674547e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.99 rel. change during last iteration : -1.2884e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445052 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198071 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.4198 +/- 0.00614 (0.03333%) b = -16.7455 +/- 5.417 (32.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:32:02 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384151406e+05 0.00e+00 1.30e+01 1.841976e+01 -1.674547e+01 2 1.0491486846e+03 -1.31e-01 1.30e-01 2.379001e+01 -1.676696e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.15 rel. change during last iteration : -1.30518e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445087 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198102 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.79 +/- 0.006141 (0.02581%) b = -16.767 +/- 5.419 (32.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:32:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283723416e+05 0.00e+00 1.68e+01 2.379001e+01 -1.676696e+01 3 1.0487430797e+03 -4.97e-01 1.68e-02 2.914275e+01 -1.823147e+01 After 3 iterations the fit converged. final sum of squares of residuals : 1048.74 rel. change during last iteration : -4.96734e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445001 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1427 +/- 0.00614 (0.02107%) b = -18.2315 +/- 5.418 (29.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384251124e+05 0.00e+00 2.06e+01 2.914275e+01 -1.823147e+01 2 1.0491054001e+03 -1.30e-01 2.06e-01 3.451302e+01 -1.823559e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.11 rel. change during last iteration : -1.2975e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198094 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.513 +/- 0.006141 (0.01779%) b = -18.2356 +/- 5.418 (29.71%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:32:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5269834490e+05 0.00e+00 2.44e+01 3.451302e+01 -1.823559e+01 2 1.0491192355e+03 -8.51e-01 2.44e-01 3.986310e+01 -1.780771e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.12 rel. change during last iteration : -8.5101e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44508 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8631 +/- 0.006141 (0.0154%) b = -17.8077 +/- 5.418 (30.43%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:32:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5385091538e+05 0.00e+00 2.82e+01 3.986310e+01 -1.780771e+01 2 1.0489485722e+03 -3.83e-01 2.82e-01 4.523350e+01 -1.758883e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.95 rel. change during last iteration : -3.82668e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445044 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2335 +/- 0.00614 (0.01357%) b = -17.5888 +/- 5.418 (30.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:04 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283114892e+05 0.00e+00 3.20e+01 4.523350e+01 -1.758883e+01 2 1.0490592351e+03 -2.06e-01 3.20e-01 5.058599e+01 -1.769513e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.06 rel. change during last iteration : -2.05607e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445068 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198085 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.586 +/- 0.00614 (0.01214%) b = -17.6951 +/- 5.418 (30.62%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:32:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384839291e+05 0.00e+00 3.58e+01 5.058599e+01 -1.769513e+01 2 1.0491755134e+03 -1.85e-01 3.58e-01 5.595637e+01 -1.777730e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.18 rel. change during last iteration : -1.85421e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445092 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198107 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9564 +/- 0.006141 (0.01097%) b = -17.7773 +/- 5.418 (30.48%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5269807748e+05 0.00e+00 3.96e+01 5.595637e+01 -1.777730e+01 2 1.0486401277e+03 -2.94e-01 3.96e-01 6.130649e+01 -1.764777e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.64 rel. change during last iteration : -2.94186e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444979 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198006 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.3065 +/- 0.006139 (0.01001%) b = -17.6478 +/- 5.417 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5383961000e+05 0.00e+00 4.34e+01 6.130649e+01 -1.764777e+01 2 1.0491677216e+03 -2.38e-01 4.34e-01 6.667670e+01 -1.755218e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.17 rel. change during last iteration : -2.38123e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445091 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198106 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6767 +/- 0.006141 (0.00921%) b = -17.5522 +/- 5.418 (30.87%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Tue Feb 18 20:32:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5283934565e+05 0.00e+00 4.71e+01 6.667670e+01 -1.755218e+01 2 1.0489559470e+03 -1.76e-01 4.71e-01 7.202932e+01 -1.761022e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.96 rel. change during last iteration : -1.76383e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445046 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0293 +/- 0.00614 (0.008524%) b = -17.6102 +/- 5.418 (30.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5383517178e+05 0.00e+00 5.09e+01 7.202932e+01 -1.761022e+01 2 1.0483267804e+03 -1.74e-01 5.09e-01 7.739948e+01 -1.766214e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.33 rel. change during last iteration : -1.73643e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444912 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197947 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3995 +/- 0.006138 (0.007931%) b = -17.6621 +/- 5.416 (30.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:06 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5277577573e+05 0.00e+00 5.47e+01 7.739948e+01 -1.766214e+01 2 1.0484278029e+03 -1.63e-01 5.47e-01 8.275099e+01 -1.770478e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.43 rel. change during last iteration : -1.62677e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.444934 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.751 +/- 0.006139 (0.007418%) b = -17.7048 +/- 5.416 (30.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5377346667e+05 0.00e+00 5.85e+01 8.275099e+01 -1.770478e+01 2 1.0490050620e+03 -2.05e-01 5.85e-01 8.812005e+01 -1.764483e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.01 rel. change during last iteration : -2.05136e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.12 +/- 0.00614 (0.006968%) b = -17.6448 +/- 5.418 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5276681056e+05 0.00e+00 6.23e+01 8.812005e+01 -1.764483e+01 2 1.0489171438e+03 -1.87e-01 6.23e-01 9.347138e+01 -1.759541e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1048.92 rel. change during last iteration : -1.87153e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445037 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4714 +/- 0.00614 (0.006569%) b = -17.5954 +/- 5.418 (30.79%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5384520381e+05 0.00e+00 6.61e+01 9.347138e+01 -1.759541e+01 2 1.0491225948e+03 -1.68e-01 6.61e-01 9.884170e+01 -1.755785e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1049.12 rel. change during last iteration : -1.67705e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.445081 variance of residuals (reduced chisquare) = WSSR/ndf : 0.198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8417 +/- 0.006141 (0.006213%) b = -17.5579 +/- 5.418 (30.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 5298 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 1.5272671196e+05 0.00e+00 6.99e+01 9.884170e+01 -1.755785e+01 2 1.0466668911e+03 -2.02e-01 6.99e-01 1.041924e+02 -1.750867e+01 After 2 iterations the fit converged. final sum of squares of residuals : 1046.67 rel. change during last iteration : -2.02266e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.44456 variance of residuals (reduced chisquare) = WSSR/ndf : 0.197633 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.192 +/- 0.006133 (0.005887%) b = -17.5087 +/- 5.412 (30.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Tue Feb 18 20:32:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 3777 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 1.0972014959e+05 0.00e+00 7.37e+01 1.041924e+02 -1.750867e+01 2 7.7276917036e+02 -3.19e-01 7.37e-01 1.095631e+02 -1.754846e+01 After 2 iterations the fit converged. final sum of squares of residuals : 772.769 rel. change during last iteration : -3.18986e-06 degrees of freedom (FIT_NDF) : 3775 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452446 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204707 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.563 +/- 0.009256 (0.008448%) b = -17.5485 +/- 8.826 (50.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.606 1.000 ******************************************************************************* Wed Feb 26 14:59:26 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 2.8641962984e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 1.0391213808e+09 -3.71e-02 7.12e-03 2.285206e+03 -1.634139e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.03912e+09 rel. change during last iteration : -3.71176e-07 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 442.955 variance of residuals (reduced chisquare) = WSSR/ndf : 196209 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2285.21 +/- 6.112 (0.2675%) b = -163.414 +/- 53.98 (33.03%) correlation matrix of the fit parameters: a b a 1.000 b -0.093 1.000 ******************************************************************************* Wed Feb 26 14:59:27 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 7.1502403443e+03 0.00e+00 6.27e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 6.5646721486e+01 -8.52e-01 6.27e-03 5.101155e-03 2.153186e-02 5.847269e-02 After 2 iterations the fit converged. final sum of squares of residuals : 65.6467 rel. change during last iteration : -8.51587e-06 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111346 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123979 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00510115 +/- 0.001616 (31.69%) bb = 0.0215319 +/- 0.005022 (23.32%) cc = 0.0584727 +/- 0.005573 (9.531%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.035 1.000 cc -0.323 -0.084 1.000 ******************************************************************************* Wed Feb 26 14:59:27 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5626054840e+11 0.00e+00 1.62e+03 2.285206e+03 -1.634139e+02 2 1.0494722677e+09 -1.64e-01 1.62e+01 7.697835e+03 -1.669006e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04947e+09 rel. change during last iteration : -1.64291e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.155 variance of residuals (reduced chisquare) = WSSR/ndf : 198163 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7697.84 +/- 6.141 (0.07978%) b = -166.901 +/- 54.19 (32.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 3.3737003113e+02 0.00e+00 1.45e-01 5.101155e-03 2.153186e-02 5.847269e-02 2 6.7016871128e+01 -6.13e-01 1.45e-03 3.357386e-03 4.033109e-03 3.031443e-03 After 2 iterations the fit converged. final sum of squares of residuals : 67.0169 rel. change during last iteration : -6.12839e-06 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112502 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126566 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00335739 +/- 0.002027 (60.38%) bb = 0.00403311 +/- 0.001037 (25.72%) cc = 0.00303144 +/- 0.0005159 (17.02%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.105 1.000 cc -0.629 0.391 1.000 ******************************************************************************* Wed Feb 26 14:59:28 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5384324784e+11 0.00e+00 5.44e+03 7.697835e+03 -1.669006e+02 2 1.0491833326e+09 -1.33e-01 5.44e+01 1.306813e+04 -1.675147e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04918e+09 rel. change during last iteration : -1.32695e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.094 variance of residuals (reduced chisquare) = WSSR/ndf : 198109 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13068.1 +/- 6.14 (0.04699%) b = -167.515 +/- 54.17 (32.34%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:29 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7027067322e+01 0.00e+00 4.36e-03 3.357386e-03 4.033109e-03 3.031443e-03 2 6.6011157847e+01 -1.67e-04 4.36e-05 5.519336e-03 1.365848e-02 1.188151e-02 After 2 iterations the fit converged. final sum of squares of residuals : 66.0112 rel. change during last iteration : -1.66839e-09 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111654 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124667 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00551934 +/- 0.00185 (33.52%) bb = 0.0136585 +/- 0.002025 (14.83%) cc = 0.0118815 +/- 0.0011 (9.258%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.257 1.000 cc -0.327 0.452 1.000 ******************************************************************************* Wed Feb 26 14:59:29 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5278341261e+11 0.00e+00 9.24e+03 1.306813e+04 -1.675147e+02 2 1.0489850073e+09 -1.29e-01 9.24e+01 1.841976e+04 -1.674547e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04899e+09 rel. change during last iteration : -1.2884e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.052 variance of residuals (reduced chisquare) = WSSR/ndf : 198071 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18419.8 +/- 6.14 (0.03333%) b = -167.455 +/- 54.17 (32.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:29 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 7.5187414576e+01 0.00e+00 2.88e-02 5.519336e-03 1.365848e-02 1.188151e-02 2 6.7044700196e+01 -4.62e-03 2.88e-04 1.889901e-03 -9.079236e-04 3.249405e-03 After 2 iterations the fit converged. final sum of squares of residuals : 67.0447 rel. change during last iteration : -4.62137e-08 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112525 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126619 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0018899 +/- 0.002113 (111.8%) bb = -0.000907924 +/- 0.0009777 (107.7%) cc = 0.00324941 +/- 0.0005685 (17.5%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.022 1.000 cc -0.679 0.116 1.000 ******************************************************************************* Wed Feb 26 14:59:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5384151406e+11 0.00e+00 1.30e+04 1.841976e+04 -1.674547e+02 2 1.0491486846e+09 -1.31e-01 1.30e+02 2.379001e+04 -1.676696e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04915e+09 rel. change during last iteration : -1.30518e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.087 variance of residuals (reduced chisquare) = WSSR/ndf : 198102 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23790 +/- 6.141 (0.02581%) b = -167.67 +/- 54.19 (32.32%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:30 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7056249091e+01 0.00e+00 4.57e-03 1.889901e-03 -9.079236e-04 3.249405e-03 2 6.6817161453e+01 -1.32e-03 4.57e-05 4.676306e-03 1.715672e-03 5.395632e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.8172 rel. change during last iteration : -1.31808e-08 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112334 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126189 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00467631 +/- 0.001744 (37.3%) bb = 0.00171567 +/- 0.001521 (88.65%) cc = 0.00539563 +/- 0.0007589 (14.07%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.451 0.204 1.000 ******************************************************************************* Wed Feb 26 14:59:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5283723416e+11 0.00e+00 1.68e+04 2.379001e+04 -1.676696e+02 3 1.0487430797e+09 -4.97e-01 1.68e+01 2.914275e+04 -1.823147e+02 After 3 iterations the fit converged. final sum of squares of residuals : 1.04874e+09 rel. change during last iteration : -4.96734e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.001 variance of residuals (reduced chisquare) = WSSR/ndf : 198026 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29142.7 +/- 6.14 (0.02107%) b = -182.315 +/- 54.18 (29.72%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:31 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7251337077e+01 0.00e+00 1.23e-02 4.676306e-03 1.715672e-03 5.395632e-03 2 6.6768338859e+01 -2.43e-03 1.23e-04 1.620875e-03 4.163027e-03 3.977324e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.7683 rel. change during last iteration : -2.42895e-08 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112293 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126097 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00162088 +/- 0.002001 (123.4%) bb = 0.00416303 +/- 0.001063 (25.54%) cc = 0.00397732 +/- 0.0005508 (13.85%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.118 1.000 cc -0.629 0.336 1.000 ******************************************************************************* Wed Feb 26 14:59:32 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5384251124e+11 0.00e+00 2.06e+04 2.914275e+04 -1.823147e+02 2 1.0491054001e+09 -1.30e-01 2.06e+02 3.451302e+04 -1.823559e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04911e+09 rel. change during last iteration : -1.2975e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.077 variance of residuals (reduced chisquare) = WSSR/ndf : 198094 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34513 +/- 6.141 (0.01779%) b = -182.356 +/- 54.18 (29.71%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.6732273530e+01 0.00e+00 9.27e-03 1.620875e-03 4.163027e-03 3.977324e-03 2 6.6722352477e+01 -1.89e-04 9.27e-05 1.006392e-03 3.524992e-03 4.240907e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.7224 rel. change during last iteration : -1.8937e-09 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112254 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012601 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00100639 +/- 0.001987 (197.5%) bb = 0.00352499 +/- 0.001049 (29.77%) cc = 0.00424091 +/- 0.0005532 (13.04%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.090 1.000 cc -0.627 0.244 1.000 ******************************************************************************* Wed Feb 26 14:59:33 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5269834490e+11 0.00e+00 2.44e+04 3.451302e+04 -1.823559e+02 2 1.0491192355e+09 -8.51e-01 2.44e+02 3.986310e+04 -1.780771e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04912e+09 rel. change during last iteration : -8.5101e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.08 variance of residuals (reduced chisquare) = WSSR/ndf : 198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39863.1 +/- 6.141 (0.0154%) b = -178.077 +/- 54.18 (30.43%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:33 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.6776398134e+01 0.00e+00 8.32e-03 1.006392e-03 3.524992e-03 4.240907e-03 2 6.6748164941e+01 -4.23e-03 8.32e-05 2.508666e-03 2.503007e-03 4.383104e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.7482 rel. change during last iteration : -4.22693e-08 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112276 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126059 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00250867 +/- 0.001871 (74.6%) bb = 0.00250301 +/- 0.001152 (46.02%) cc = 0.0043831 +/- 0.0005872 (13.4%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.033 1.000 cc -0.566 0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5385091538e+11 0.00e+00 2.82e+04 3.986310e+04 -1.780771e+02 2 1.0489485722e+09 -3.83e-01 2.82e+02 4.523350e+04 -1.758883e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04895e+09 rel. change during last iteration : -3.82668e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.044 variance of residuals (reduced chisquare) = WSSR/ndf : 198064 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45233.5 +/- 6.14 (0.01357%) b = -175.888 +/- 54.18 (30.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:34 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7122454549e+01 0.00e+00 5.49e-03 2.508666e-03 2.503007e-03 4.383104e-03 2 6.6976255377e+01 -1.37e-04 5.49e-05 4.748011e-03 -1.298991e-03 5.599808e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.9763 rel. change during last iteration : -1.37049e-09 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112468 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012649 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00474801 +/- 0.001797 (37.85%) bb = -0.00129899 +/- 0.001538 (118.4%) cc = 0.00559981 +/- 0.0008982 (16.04%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.020 1.000 cc -0.506 -0.100 1.000 ******************************************************************************* Wed Feb 26 14:59:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5283114892e+11 0.00e+00 3.20e+04 4.523350e+04 -1.758883e+02 2 1.0490592351e+09 -2.06e-01 3.20e+02 5.058599e+04 -1.769513e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04906e+09 rel. change during last iteration : -2.05607e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.068 variance of residuals (reduced chisquare) = WSSR/ndf : 198085 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50586 +/- 6.14 (0.01214%) b = -176.951 +/- 54.18 (30.62%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:35 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7264572628e+01 0.00e+00 1.06e-02 4.748011e-03 -1.298991e-03 5.599808e-03 2 6.6985850450e+01 -1.13e-03 1.06e-04 2.893202e-03 -2.608332e-03 3.877535e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.9859 rel. change during last iteration : -1.13466e-08 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112476 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126508 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0028932 +/- 0.001991 (68.8%) bb = -0.00260833 +/- 0.001109 (42.5%) cc = 0.00387754 +/- 0.0006357 (16.4%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.037 1.000 cc -0.628 -0.139 1.000 ******************************************************************************* Wed Feb 26 14:59:35 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5384839291e+11 0.00e+00 3.58e+04 5.058599e+04 -1.769513e+02 2 1.0491755134e+09 -1.85e-01 3.58e+02 5.595637e+04 -1.777730e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04918e+09 rel. change during last iteration : -1.85421e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.092 variance of residuals (reduced chisquare) = WSSR/ndf : 198107 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55956.4 +/- 6.141 (0.01097%) b = -177.773 +/- 54.18 (30.48%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:36 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.6554910712e+01 0.00e+00 6.77e-03 2.893202e-03 -2.608332e-03 3.877535e-03 2 6.6420526842e+01 -5.41e-05 6.77e-05 1.077578e-03 -2.061393e-03 5.932780e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.4205 rel. change during last iteration : -5.4092e-10 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012544 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00107758 +/- 0.001846 (171.3%) bb = -0.00206139 +/- 0.001237 (60.02%) cc = 0.00593278 +/- 0.0006575 (11.08%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.031 1.000 cc -0.552 0.005 1.000 ******************************************************************************* Wed Feb 26 14:59:36 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5269807748e+11 0.00e+00 3.96e+04 5.595637e+04 -1.777730e+02 2 1.0486401277e+09 -2.94e-01 3.96e+02 6.130649e+04 -1.764777e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04864e+09 rel. change during last iteration : -2.94186e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.979 variance of residuals (reduced chisquare) = WSSR/ndf : 198006 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61306.5 +/- 6.139 (0.01001%) b = -176.478 +/- 54.17 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:37 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7461491301e+01 0.00e+00 8.57e-03 1.077578e-03 -2.061393e-03 5.932780e-03 2 6.7201598160e+01 -3.58e-02 8.57e-05 5.818837e-03 1.459113e-03 3.540087e-03 After 2 iterations the fit converged. final sum of squares of residuals : 67.2016 rel. change during last iteration : -3.57723e-07 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112657 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126915 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00581884 +/- 0.001848 (31.75%) bb = 0.00145911 +/- 0.001366 (93.62%) cc = 0.00354009 +/- 0.0007629 (21.55%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.001 1.000 cc -0.537 0.179 1.000 ******************************************************************************* Wed Feb 26 14:59:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5383961000e+11 0.00e+00 4.34e+04 6.130649e+04 -1.764777e+02 2 1.0491677216e+09 -2.38e-01 4.34e+02 6.667670e+04 -1.755218e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04917e+09 rel. change during last iteration : -2.38123e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.091 variance of residuals (reduced chisquare) = WSSR/ndf : 198106 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66676.7 +/- 6.141 (0.00921%) b = -175.522 +/- 54.18 (30.87%) correlation matrix of the fit parameters: a b a 1.000 b -0.091 1.000 ******************************************************************************* Wed Feb 26 14:59:37 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.6815381645e+01 0.00e+00 7.49e-03 5.818837e-03 1.459113e-03 3.540087e-03 2 6.6744787844e+01 -7.03e-05 7.49e-05 1.326371e-03 2.063823e-03 4.566479e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.7448 rel. change during last iteration : -7.02962e-10 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112273 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126052 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00132637 +/- 0.001962 (147.9%) bb = 0.00206382 +/- 0.001095 (53.05%) cc = 0.00456648 +/- 0.000609 (13.34%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.021 1.000 cc -0.618 0.058 1.000 ******************************************************************************* Wed Feb 26 14:59:38 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5283934565e+11 0.00e+00 4.71e+04 6.667670e+04 -1.755218e+02 2 1.0489559470e+09 -1.76e-01 4.71e+02 7.202932e+04 -1.761022e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04896e+09 rel. change during last iteration : -1.76383e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.046 variance of residuals (reduced chisquare) = WSSR/ndf : 198066 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72029.3 +/- 6.14 (0.008524%) b = -176.102 +/- 54.18 (30.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:39 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.6716665343e+01 0.00e+00 6.50e-03 1.326371e-03 2.063823e-03 4.566479e-03 2 6.6534951915e+01 -5.22e-04 6.50e-05 2.546111e-03 -8.645911e-04 6.501667e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.535 rel. change during last iteration : -5.22392e-09 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112096 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125656 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00254611 +/- 0.001788 (70.23%) bb = -0.000864591 +/- 0.00141 (163%) cc = 0.00650167 +/- 0.00075 (11.54%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.022 1.000 cc -0.502 -0.111 1.000 ******************************************************************************* Wed Feb 26 14:59:39 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5383517178e+11 0.00e+00 5.09e+04 7.202932e+04 -1.761022e+02 2 1.0483267804e+09 -1.74e-01 5.09e+02 7.739948e+04 -1.766214e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04833e+09 rel. change during last iteration : -1.73643e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.912 variance of residuals (reduced chisquare) = WSSR/ndf : 197947 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77399.5 +/- 6.138 (0.007931%) b = -176.621 +/- 54.16 (30.67%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:40 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7935728383e+01 0.00e+00 1.20e-02 2.546111e-03 -8.645911e-04 6.501667e-03 2 6.7255162080e+01 -5.98e-03 1.20e-04 5.620209e-03 -1.713874e-03 2.466523e-03 After 2 iterations the fit converged. final sum of squares of residuals : 67.2552 rel. change during last iteration : -5.98237e-08 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112702 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127016 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00562021 +/- 0.001976 (35.16%) bb = -0.00171387 +/- 0.001106 (64.55%) cc = 0.00246652 +/- 0.0006236 (25.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.006 1.000 cc -0.620 -0.070 1.000 ******************************************************************************* Wed Feb 26 14:59:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5277577573e+11 0.00e+00 5.47e+04 7.739948e+04 -1.766214e+02 2 1.0484278029e+09 -1.63e-01 5.47e+02 8.275099e+04 -1.770478e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04843e+09 rel. change during last iteration : -1.62677e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.934 variance of residuals (reduced chisquare) = WSSR/ndf : 197966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82751 +/- 6.139 (0.007418%) b = -177.048 +/- 54.16 (30.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.6654530509e+01 0.00e+00 5.11e-03 5.620209e-03 -1.713874e-03 2.466523e-03 2 6.5923335449e+01 -7.94e-05 5.11e-05 -5.596776e-04 -5.385769e-04 7.677864e-03 After 2 iterations the fit converged. final sum of squares of residuals : 65.9233 rel. change during last iteration : -7.93858e-10 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11158 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124501 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -0.000559678 +/- 0.001818 (324.9%) bb = -0.000538577 +/- 0.001288 (239.2%) cc = 0.00767786 +/- 0.0006872 (8.95%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.037 1.000 cc -0.536 0.013 1.000 ******************************************************************************* Wed Feb 26 14:59:41 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5377346667e+11 0.00e+00 5.85e+04 8.275099e+04 -1.770478e+02 2 1.0490050620e+09 -2.05e-01 5.85e+02 8.812005e+04 -1.764483e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04901e+09 rel. change during last iteration : -2.05136e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.056 variance of residuals (reduced chisquare) = WSSR/ndf : 198075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88120 +/- 6.14 (0.006968%) b = -176.448 +/- 54.18 (30.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:42 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.8617982987e+01 0.00e+00 1.32e-02 -5.596776e-04 -5.385769e-04 7.677864e-03 3 6.7391033036e+01 -1.74e-05 1.32e-05 7.663026e-03 1.435646e-03 1.611808e-03 After 3 iterations the fit converged. final sum of squares of residuals : 67.391 rel. change during last iteration : -1.74022e-10 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112815 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127273 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00766303 +/- 0.001925 (25.12%) bb = 0.00143565 +/- 0.001176 (81.89%) cc = 0.00161181 +/- 0.0006507 (40.37%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.001 1.000 cc -0.590 0.094 1.000 ******************************************************************************* Wed Feb 26 14:59:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5276681056e+11 0.00e+00 6.23e+04 8.812005e+04 -1.764483e+02 2 1.0489171438e+09 -1.87e-01 6.23e+02 9.347138e+04 -1.759541e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04892e+09 rel. change during last iteration : -1.87153e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.037 variance of residuals (reduced chisquare) = WSSR/ndf : 198058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93471.4 +/- 6.14 (0.006569%) b = -175.954 +/- 54.18 (30.79%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:43 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.6980770279e+01 0.00e+00 5.24e-03 7.663026e-03 1.435646e-03 1.611808e-03 2 6.6328664888e+01 -1.98e-04 5.24e-05 -9.270595e-05 6.422506e-04 6.446536e-03 After 2 iterations the fit converged. final sum of squares of residuals : 66.3287 rel. change during last iteration : -1.9823e-09 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111923 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125267 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -9.2706e-05 +/- 0.001887 (2036%) bb = 0.000642251 +/- 0.001208 (188.1%) cc = 0.00644654 +/- 0.0006744 (10.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.580 0.022 1.000 ******************************************************************************* Wed Feb 26 14:59:43 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5384520381e+11 0.00e+00 6.61e+04 9.347138e+04 -1.759541e+02 2 1.0491225948e+09 -1.68e-01 6.61e+02 9.884170e+04 -1.755785e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04912e+09 rel. change during last iteration : -1.67705e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.081 variance of residuals (reduced chisquare) = WSSR/ndf : 198097 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98841.7 +/- 6.141 (0.006213%) b = -175.579 +/- 54.18 (30.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:43 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7486636632e+01 0.00e+00 1.06e-02 -9.270595e-05 6.422506e-04 6.446536e-03 3 6.7123907754e+01 -1.09e-01 1.06e-05 5.068044e-03 -2.133731e-03 3.408243e-03 After 3 iterations the fit converged. final sum of squares of residuals : 67.1239 rel. change during last iteration : -1.09494e-06 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112592 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126768 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00506804 +/- 0.001873 (36.97%) bb = -0.00213373 +/- 0.001227 (57.49%) cc = 0.00340824 +/- 0.0006586 (19.32%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.004 1.000 cc -0.561 -0.094 1.000 ******************************************************************************* Wed Feb 26 14:59:44 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5298 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 1.5272671196e+11 0.00e+00 6.99e+04 9.884170e+04 -1.755785e+02 2 1.0466668911e+09 -2.02e-01 6.99e+02 1.041924e+05 -1.750867e+02 After 2 iterations the fit converged. final sum of squares of residuals : 1.04667e+09 rel. change during last iteration : -2.02266e-06 degrees of freedom (FIT_NDF) : 5296 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.56 variance of residuals (reduced chisquare) = WSSR/ndf : 197633 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104192 +/- 6.133 (0.005887%) b = -175.087 +/- 54.12 (30.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.092 1.000 ******************************************************************************* Wed Feb 26 14:59:44 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5298 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 6.7102847640e+01 0.00e+00 6.56e-03 5.068044e-03 -2.133731e-03 3.408243e-03 2 6.7093983663e+01 -1.01e-05 6.56e-05 4.108515e-03 -1.362167e-03 3.668941e-03 After 2 iterations the fit converged. final sum of squares of residuals : 67.094 rel. change during last iteration : -1.00508e-10 degrees of freedom (FIT_NDF) : 5295 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112566 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126712 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00410852 +/- 0.001931 (47%) bb = -0.00136217 +/- 0.001182 (86.75%) cc = 0.00366894 +/- 0.0006741 (18.37%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.599 -0.043 1.000 ******************************************************************************* Thu Feb 27 10:42:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 5.5725906682e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 2.0130085205e+09 -8.83e-03 7.12e-03 2.279302e+03 -1.330875e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.01301e+09 rel. change during last iteration : -8.83498e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.823 variance of residuals (reduced chisquare) = WSSR/ndf : 194325 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2279.3 +/- 4.352 (0.1909%) b = -133.087 +/- 38.58 (28.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.098 1.000 ******************************************************************************* Thu Feb 27 10:42:00 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4048154994e+04 0.00e+00 6.28e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.2726700363e+02 -2.19e-01 6.28e-03 5.690970e-03 1.865118e-02 5.759690e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.267 rel. change during last iteration : -2.18752e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110846 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122868 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00569097 +/- 0.001148 (20.17%) bb = 0.0186512 +/- 0.003572 (19.15%) cc = 0.0575969 +/- 0.003851 (6.686%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.040 1.000 cc -0.316 -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:01 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0536638683e+11 0.00e+00 1.61e+03 2.279302e+03 -1.330875e+02 2 2.0415971086e+09 -6.46e-01 1.61e+01 7.690194e+03 -1.512627e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0416e+09 rel. change during last iteration : -6.46092e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.942 variance of residuals (reduced chisquare) = WSSR/ndf : 197084 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7690.19 +/- 4.382 (0.05698%) b = -151.263 +/- 38.81 (25.66%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 10:42:02 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 6.5360606512e+02 0.00e+00 1.43e-01 5.690970e-03 1.865118e-02 5.759690e-02 2 1.3005452169e+02 -1.35e-01 1.43e-03 3.950350e-03 3.062098e-03 2.877497e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.055 rel. change during last iteration : -1.34849e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125559 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00395035 +/- 0.001445 (36.57%) bb = 0.0030621 +/- 0.0007339 (23.97%) cc = 0.0028775 +/- 0.0003651 (12.69%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.100 1.000 cc -0.629 0.382 1.000 ******************************************************************************* Thu Feb 27 10:42:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086073680e+11 0.00e+00 5.44e+03 7.690194e+03 -1.512627e+02 2 2.0419347022e+09 -8.18e-02 5.44e+01 1.306058e+04 -1.540120e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04193e+09 rel. change during last iteration : -8.18346e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.979 variance of residuals (reduced chisquare) = WSSR/ndf : 197117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13060.6 +/- 4.382 (0.03355%) b = -154.012 +/- 38.8 (25.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 10:42:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985924183e+02 0.00e+00 4.21e-03 3.950350e-03 3.062098e-03 2.877497e-03 2 1.2750750571e+02 -1.19e-04 4.21e-05 6.332355e-03 1.546009e-02 1.230706e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.508 rel. change during last iteration : -1.19072e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110951 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123101 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00633236 +/- 0.00131 (20.68%) bb = 0.0154601 +/- 0.001429 (9.24%) cc = 0.0123071 +/- 0.0007621 (6.193%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.256 1.000 cc -0.322 0.454 1.000 ******************************************************************************* Thu Feb 27 10:42:05 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9890799481e+11 0.00e+00 9.24e+03 1.306058e+04 -1.540120e+02 2 2.0463210723e+09 -1.91e-01 9.24e+01 1.841328e+04 -1.498300e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04632e+09 rel. change during last iteration : -1.91443e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.455 variance of residuals (reduced chisquare) = WSSR/ndf : 197540 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18413.3 +/- 4.387 (0.02382%) b = -149.83 +/- 38.85 (25.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 10:42:05 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4823889618e+02 0.00e+00 3.07e-02 6.332355e-03 1.546009e-02 1.230706e-02 2 1.3002968517e+02 -9.34e-04 3.07e-04 2.627756e-03 -3.474443e-04 3.167493e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.03 rel. change during last iteration : -9.33912e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112043 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125536 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00262776 +/- 0.0015 (57.08%) bb = -0.000347444 +/- 0.0006941 (199.8%) cc = 0.00316749 +/- 0.0003992 (12.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.677 0.126 1.000 ******************************************************************************* Thu Feb 27 10:42:06 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085848907e+11 0.00e+00 1.30e+04 1.841328e+04 -1.498300e+02 2 2.0465327150e+09 -4.08e-02 1.30e+02 2.378356e+04 -1.491068e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04653e+09 rel. change during last iteration : -4.07503e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.478 variance of residuals (reduced chisquare) = WSSR/ndf : 197561 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23783.6 +/- 4.387 (0.01845%) b = -149.107 +/- 38.87 (26.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 10:42:07 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2984523622e+02 0.00e+00 4.59e-03 2.627756e-03 -3.474443e-04 3.167493e-03 2 1.2934394445e+02 -9.37e-04 4.59e-05 4.698500e-03 3.129118e-04 5.655032e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.344 rel. change during last iteration : -9.37414e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111747 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124873 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0046985 +/- 0.00124 (26.39%) bb = 0.000312912 +/- 0.001078 (344.6%) cc = 0.00565503 +/- 0.0005354 (9.468%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.451 0.202 1.000 ******************************************************************************* Thu Feb 27 10:42:08 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896718693e+11 0.00e+00 1.68e+04 2.378356e+04 -1.491068e+02 3 2.0456091185e+09 -7.99e-01 1.68e+01 2.913709e+04 -1.718970e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04561e+09 rel. change during last iteration : -7.98575e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.378 variance of residuals (reduced chisquare) = WSSR/ndf : 197472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29137.1 +/- 4.386 (0.01505%) b = -171.897 +/- 38.86 (22.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:09 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3088229007e+02 0.00e+00 1.29e-02 4.698500e-03 3.129118e-04 5.655032e-03 2 1.2958319468e+02 -7.92e-01 1.29e-04 2.357778e-03 3.343174e-03 3.799450e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.583 rel. change during last iteration : -7.91957e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11185 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125104 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00235778 +/- 0.001427 (60.51%) bb = 0.00334317 +/- 0.0007539 (22.55%) cc = 0.00379945 +/- 0.0003906 (10.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.117 1.000 cc -0.630 0.333 1.000 ******************************************************************************* Thu Feb 27 10:42:10 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085506086e+11 0.00e+00 2.06e+04 2.913709e+04 -1.718970e+02 2 2.0466752355e+09 -3.42e-02 2.06e+02 3.450736e+04 -1.719877e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04668e+09 rel. change during last iteration : -3.4166e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.494 variance of residuals (reduced chisquare) = WSSR/ndf : 197575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34507.4 +/- 4.387 (0.01271%) b = -171.988 +/- 38.86 (22.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:10 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2953632531e+02 0.00e+00 8.74e-03 2.357778e-03 3.343174e-03 3.799450e-03 2 1.2951770610e+02 -6.58e-06 8.74e-05 1.854179e-03 2.692809e-03 4.039189e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.518 rel. change during last iteration : -6.57648e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125041 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00185418 +/- 0.001417 (76.44%) bb = 0.00269281 +/- 0.0007449 (27.66%) cc = 0.00403919 +/- 0.0003932 (9.735%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.088 1.000 cc -0.629 0.240 1.000 ******************************************************************************* Thu Feb 27 10:42:11 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9841047454e+11 0.00e+00 2.44e+04 3.450736e+04 -1.719877e+02 3 2.0413280018e+09 -7.82e-01 2.44e+01 3.985546e+04 -1.538090e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04133e+09 rel. change during last iteration : -7.81847e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.913 variance of residuals (reduced chisquare) = WSSR/ndf : 197058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39855.5 +/- 4.382 (0.01099%) b = -153.809 +/- 38.81 (25.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 10:42:12 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2958980760e+02 0.00e+00 7.86e-03 1.854179e-03 2.692809e-03 4.039189e-03 2 1.2952777461e+02 -7.38e-05 7.86e-05 3.258851e-03 1.527741e-03 4.222193e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.528 rel. change during last iteration : -7.38332e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111826 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125051 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00325885 +/- 0.001333 (40.91%) bb = 0.00152774 +/- 0.0008178 (53.53%) cc = 0.00422219 +/- 0.000416 (9.854%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.566 0.087 1.000 ******************************************************************************* Thu Feb 27 10:42:13 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086406628e+11 0.00e+00 2.82e+04 3.985546e+04 -1.538090e+02 2 2.0414120867e+09 -3.47e-02 2.82e+02 4.522585e+04 -1.539340e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04141e+09 rel. change during last iteration : -3.46919e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.922 variance of residuals (reduced chisquare) = WSSR/ndf : 197067 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45225.8 +/- 4.382 (0.009689%) b = -153.934 +/- 38.81 (25.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:14 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2996841029e+02 0.00e+00 5.44e-03 3.258851e-03 1.527741e-03 4.222193e-03 2 1.2967747101e+02 -1.31e-04 5.44e-05 4.950749e-03 -1.782451e-03 5.866697e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.677 rel. change during last iteration : -1.30872e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111891 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125195 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00495075 +/- 0.001274 (25.73%) bb = -0.00178245 +/- 0.001085 (60.85%) cc = 0.0058667 +/- 0.00062 (10.57%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.501 -0.085 1.000 ******************************************************************************* Thu Feb 27 10:42:15 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9894331827e+11 0.00e+00 3.20e+04 4.522585e+04 -1.539340e+02 4 2.0417411768e+09 -2.02e-03 3.20e+00 5.057920e+04 -1.769102e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04174e+09 rel. change during last iteration : -2.01923e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.958 variance of residuals (reduced chisquare) = WSSR/ndf : 197098 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50579.2 +/- 4.382 (0.008664%) b = -176.91 +/- 38.81 (21.94%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:16 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3046594041e+02 0.00e+00 1.12e-02 4.950749e-03 -1.782451e-03 5.866697e-03 2 1.2988454116e+02 -1.04e-05 1.12e-04 3.328912e-03 -2.049537e-03 3.878934e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.885 rel. change during last iteration : -1.03649e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125395 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00332891 +/- 0.001418 (42.6%) bb = -0.00204954 +/- 0.0007864 (38.37%) cc = 0.00387893 +/- 0.0004509 (11.63%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.032 1.000 cc -0.629 -0.130 1.000 ******************************************************************************* Thu Feb 27 10:42:17 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086174750e+11 0.00e+00 3.58e+04 5.057920e+04 -1.769102e+02 2 2.0422853240e+09 -3.52e-02 3.58e+02 5.594956e+04 -1.770700e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04229e+09 rel. change during last iteration : -3.52355e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.017 variance of residuals (reduced chisquare) = WSSR/ndf : 197151 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55949.6 +/- 4.383 (0.007833%) b = -177.07 +/- 38.82 (21.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:17 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2906841719e+02 0.00e+00 6.75e-03 3.328912e-03 -2.049537e-03 3.878934e-03 2 1.2877663343e+02 -1.46e-05 6.75e-05 1.566037e-03 -9.546729e-04 5.978331e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.777 rel. change during last iteration : -1.4612e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124326 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00156604 +/- 0.001315 (83.96%) bb = -0.000954673 +/- 0.0008793 (92.1%) cc = 0.00597833 +/- 0.0004673 (7.816%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.029 1.000 cc -0.552 0.002 1.000 ******************************************************************************* Thu Feb 27 10:42:18 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9854784941e+11 0.00e+00 3.96e+04 5.594956e+04 -1.770700e+02 4 2.0409245638e+09 -2.91e-03 3.96e+00 6.129885e+04 -1.538693e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04092e+09 rel. change during last iteration : -2.91119e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.869 variance of residuals (reduced chisquare) = WSSR/ndf : 197019 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61298.9 +/- 4.381 (0.007147%) b = -153.869 +/- 38.81 (25.22%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:19 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3069550037e+02 0.00e+00 8.69e-03 1.566037e-03 -9.546729e-04 5.978331e-03 2 1.3025989137e+02 -5.04e-03 8.69e-05 6.322595e-03 1.721449e-03 3.535678e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.26 rel. change during last iteration : -5.03805e-08 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112142 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125758 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00632259 +/- 0.001313 (20.77%) bb = 0.00172145 +/- 0.0009629 (55.93%) cc = 0.00353568 +/- 0.0005327 (15.07%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.005 1.000 cc -0.537 0.159 1.000 ******************************************************************************* Thu Feb 27 10:42:20 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0084190335e+11 0.00e+00 4.33e+04 6.129885e+04 -1.538693e+02 2 2.0420524586e+09 -3.43e-02 4.33e+02 6.666904e+04 -1.539180e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04205e+09 rel. change during last iteration : -3.42702e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.991 variance of residuals (reduced chisquare) = WSSR/ndf : 197128 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66669 +/- 4.382 (0.006573%) b = -153.918 +/- 38.82 (25.22%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 10:42:21 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2947962901e+02 0.00e+00 7.65e-03 6.322595e-03 1.721449e-03 3.535678e-03 2 1.2931371251e+02 -1.03e-05 7.65e-05 1.436647e-03 1.350947e-03 4.762412e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.314 rel. change during last iteration : -1.02535e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111734 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124844 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00143665 +/- 0.001397 (97.27%) bb = 0.00135095 +/- 0.0007789 (57.66%) cc = 0.00476241 +/- 0.0004343 (9.119%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.021 1.000 cc -0.619 0.057 1.000 ******************************************************************************* Thu Feb 27 10:42:22 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896370360e+11 0.00e+00 4.71e+04 6.666904e+04 -1.539180e+02 2 2.0416843980e+09 -8.48e-01 4.71e+02 7.202236e+04 -1.568277e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04168e+09 rel. change during last iteration : -8.47681e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.951 variance of residuals (reduced chisquare) = WSSR/ndf : 197093 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72022.4 +/- 4.382 (0.006084%) b = -156.828 +/- 38.81 (24.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:23 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2932775046e+02 0.00e+00 6.79e-03 1.436647e-03 1.350947e-03 4.762412e-03 2 1.2899856598e+02 -4.86e-04 6.79e-05 3.166189e-03 -1.546120e-03 6.375937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.999 rel. change during last iteration : -4.85637e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111598 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012454 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00316619 +/- 0.001274 (40.25%) bb = -0.00154612 +/- 0.000993 (64.22%) cc = 0.00637594 +/- 0.0005262 (8.253%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.504 -0.086 1.000 ******************************************************************************* Thu Feb 27 10:42:24 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0083476222e+11 0.00e+00 5.09e+04 7.202236e+04 -1.568277e+02 2 2.0409585936e+09 -6.33e-01 5.09e+02 7.739251e+04 -1.591903e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04096e+09 rel. change during last iteration : -6.33269e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.872 variance of residuals (reduced chisquare) = WSSR/ndf : 197023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77392.5 +/- 4.381 (0.005661%) b = -159.19 +/- 38.81 (24.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:24 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3150735512e+02 0.00e+00 1.19e-02 3.166189e-03 -1.546120e-03 6.375937e-03 2 1.3036341586e+02 -2.02e-04 1.19e-04 5.827490e-03 -1.344216e-03 2.607568e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.363 rel. change during last iteration : -2.01824e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112186 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125858 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00582749 +/- 0.001408 (24.16%) bb = -0.00134422 +/- 0.0007864 (58.5%) cc = 0.00260757 +/- 0.000444 (17.03%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.621 -0.066 1.000 ******************************************************************************* Thu Feb 27 10:42:25 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9877051138e+11 0.00e+00 5.47e+04 7.739251e+04 -1.591903e+02 2 2.0407759945e+09 -4.74e-01 5.47e+02 8.274409e+04 -1.611092e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04078e+09 rel. change during last iteration : -4.74173e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.853 variance of residuals (reduced chisquare) = WSSR/ndf : 197005 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82744.1 +/- 4.381 (0.005295%) b = -161.109 +/- 38.8 (24.09%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:26 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2910303497e+02 0.00e+00 5.30e-03 5.827490e-03 -1.344216e-03 2.607568e-03 2 1.2759140651e+02 -4.74e-05 5.30e-05 -3.874676e-04 2.657167e-04 7.916837e-03 After 2 iterations the fit converged. final sum of squares of residuals : 127.591 rel. change during last iteration : -4.74478e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123182 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -0.000387468 +/- 0.001295 (334.3%) bb = 0.000265717 +/- 0.0009136 (343.8%) cc = 0.00791684 +/- 0.0004882 (6.167%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.041 1.000 cc -0.538 0.000 1.000 ******************************************************************************* Thu Feb 27 10:42:27 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0064066031e+11 0.00e+00 5.85e+04 8.274409e+04 -1.611092e+02 2 2.0415049368e+09 -9.21e-02 5.85e+02 8.811246e+04 -1.604477e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0415e+09 rel. change during last iteration : -9.20702e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.932 variance of residuals (reduced chisquare) = WSSR/ndf : 197075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88112.5 +/- 4.382 (0.004973%) b = -160.448 +/- 38.81 (24.19%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3329926842e+02 0.00e+00 1.37e-02 -3.874676e-04 2.657167e-04 7.916837e-03 3 1.3067068524e+02 -3.39e-05 1.37e-05 8.344954e-03 1.418613e-03 1.505729e-03 After 3 iterations the fit converged. final sum of squares of residuals : 130.671 rel. change during last iteration : -3.39349e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112318 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126154 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00834495 +/- 0.001369 (16.41%) bb = 0.00141861 +/- 0.0008327 (58.7%) cc = 0.00150573 +/- 0.0004582 (30.43%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.001 1.000 cc -0.590 0.082 1.000 ******************************************************************************* Thu Feb 27 10:42:29 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9875139070e+11 0.00e+00 6.23e+04 8.811246e+04 -1.604477e+02 2 2.0419730581e+09 -7.97e-02 6.23e+02 9.346382e+04 -1.598961e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04197e+09 rel. change during last iteration : -7.96908e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.983 variance of residuals (reduced chisquare) = WSSR/ndf : 197121 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93463.8 +/- 4.382 (0.004689%) b = -159.896 +/- 38.82 (24.28%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:30 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985651481e+02 0.00e+00 5.50e-03 8.344954e-03 1.418613e-03 1.505729e-03 2 1.2826855003e+02 -9.97e-05 5.50e-05 -2.094944e-04 2.539150e-04 6.864293e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.269 rel. change during last iteration : -9.97381e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111281 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123835 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -0.000209494 +/- 0.00134 (639.5%) bb = 0.000253915 +/- 0.0008598 (338.6%) cc = 0.00686429 +/- 0.0004782 (6.967%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.026 1.000 cc -0.578 0.025 1.000 ******************************************************************************* Thu Feb 27 10:42:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085258602e+11 0.00e+00 6.61e+04 9.346382e+04 -1.598961e+02 2 2.0418890285e+09 -5.96e-02 6.61e+02 9.883410e+04 -1.595085e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04189e+09 rel. change during last iteration : -5.95975e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.974 variance of residuals (reduced chisquare) = WSSR/ndf : 197113 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98834.1 +/- 4.382 (0.004434%) b = -159.509 +/- 38.81 (24.33%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:31 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3120098690e+02 0.00e+00 1.15e-02 -2.094944e-04 2.539150e-04 6.864293e-03 3 1.3024342373e+02 -3.40e-04 1.15e-05 6.005236e-03 -1.764106e-03 3.080738e-03 After 3 iterations the fit converged. final sum of squares of residuals : 130.243 rel. change during last iteration : -3.40104e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112135 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125742 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00600524 +/- 0.001333 (22.2%) bb = -0.00176411 +/- 0.0008656 (49.07%) cc = 0.00308074 +/- 0.0004605 (14.95%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.010 1.000 cc -0.561 -0.073 1.000 ******************************************************************************* Thu Feb 27 10:42:33 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9900023951e+11 0.00e+00 6.99e+04 9.883410e+04 -1.595085e+02 2 2.0625684164e+09 -4.62e-02 6.99e+02 1.041875e+05 -1.592494e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.06257e+09 rel. change during last iteration : -4.61647e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.216 variance of residuals (reduced chisquare) = WSSR/ndf : 199109 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104188 +/- 4.404 (0.004227%) b = -159.249 +/- 39.01 (24.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 10:42:33 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2989477606e+02 0.00e+00 6.33e-03 6.005236e-03 -1.764106e-03 3.080738e-03 2 1.2980007835e+02 -6.28e-06 6.33e-05 3.559610e-03 -9.732923e-04 4.283937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.8 rel. change during last iteration : -6.27657e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111944 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125314 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00355961 +/- 0.00137 (38.49%) bb = -0.000973292 +/- 0.0008393 (86.23%) cc = 0.00428394 +/- 0.0004754 (11.1%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.002 1.000 cc -0.596 -0.032 1.000 ******************************************************************************* Thu Feb 27 18:55:18 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 5.5725906682e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 2.0130085205e+09 -8.83e-03 7.12e-03 2.279302e+03 -1.330875e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.01301e+09 rel. change during last iteration : -8.83498e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.823 variance of residuals (reduced chisquare) = WSSR/ndf : 194325 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2279.3 +/- 4.352 (0.1909%) b = -133.087 +/- 38.58 (28.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.098 1.000 ******************************************************************************* Thu Feb 27 18:55:19 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4048154994e+04 0.00e+00 6.28e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.2726700363e+02 -2.19e-01 6.28e-03 5.690970e-03 1.865118e-02 5.759690e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.267 rel. change during last iteration : -2.18752e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110846 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122868 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00569097 +/- 0.001148 (20.17%) bb = 0.0186512 +/- 0.003572 (19.15%) cc = 0.0575969 +/- 0.003851 (6.686%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.040 1.000 cc -0.316 -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:20 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0536638683e+11 0.00e+00 1.61e+03 2.279302e+03 -1.330875e+02 2 2.0415971086e+09 -6.46e-01 1.61e+01 7.690194e+03 -1.512627e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0416e+09 rel. change during last iteration : -6.46092e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.942 variance of residuals (reduced chisquare) = WSSR/ndf : 197084 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7690.19 +/- 4.382 (0.05698%) b = -151.263 +/- 38.81 (25.66%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:55:20 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 6.5360606512e+02 0.00e+00 1.43e-01 5.690970e-03 1.865118e-02 5.759690e-02 2 1.3005452169e+02 -1.35e-01 1.43e-03 3.950350e-03 3.062098e-03 2.877497e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.055 rel. change during last iteration : -1.34849e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125559 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00395035 +/- 0.001445 (36.57%) bb = 0.0030621 +/- 0.0007339 (23.97%) cc = 0.0028775 +/- 0.0003651 (12.69%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.100 1.000 cc -0.629 0.382 1.000 ******************************************************************************* Thu Feb 27 18:55:21 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086073680e+11 0.00e+00 5.44e+03 7.690194e+03 -1.512627e+02 2 2.0419347022e+09 -8.18e-02 5.44e+01 1.306058e+04 -1.540120e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04193e+09 rel. change during last iteration : -8.18346e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.979 variance of residuals (reduced chisquare) = WSSR/ndf : 197117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13060.6 +/- 4.382 (0.03355%) b = -154.012 +/- 38.8 (25.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:55:22 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985924183e+02 0.00e+00 4.21e-03 3.950350e-03 3.062098e-03 2.877497e-03 2 1.2750750571e+02 -1.19e-04 4.21e-05 6.332355e-03 1.546009e-02 1.230706e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.508 rel. change during last iteration : -1.19072e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110951 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123101 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00633236 +/- 0.00131 (20.68%) bb = 0.0154601 +/- 0.001429 (9.24%) cc = 0.0123071 +/- 0.0007621 (6.193%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.256 1.000 cc -0.322 0.454 1.000 ******************************************************************************* Thu Feb 27 18:55:23 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9890799481e+11 0.00e+00 9.24e+03 1.306058e+04 -1.540120e+02 2 2.0463210723e+09 -1.91e-01 9.24e+01 1.841328e+04 -1.498300e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04632e+09 rel. change during last iteration : -1.91443e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.455 variance of residuals (reduced chisquare) = WSSR/ndf : 197540 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18413.3 +/- 4.387 (0.02382%) b = -149.83 +/- 38.85 (25.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:55:24 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4823889618e+02 0.00e+00 3.07e-02 6.332355e-03 1.546009e-02 1.230706e-02 2 1.3002968517e+02 -9.34e-04 3.07e-04 2.627756e-03 -3.474443e-04 3.167493e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.03 rel. change during last iteration : -9.33912e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112043 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125536 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00262776 +/- 0.0015 (57.08%) bb = -0.000347444 +/- 0.0006941 (199.8%) cc = 0.00316749 +/- 0.0003992 (12.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.677 0.126 1.000 ******************************************************************************* Thu Feb 27 18:55:25 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085848907e+11 0.00e+00 1.30e+04 1.841328e+04 -1.498300e+02 2 2.0465327150e+09 -4.08e-02 1.30e+02 2.378356e+04 -1.491068e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04653e+09 rel. change during last iteration : -4.07503e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.478 variance of residuals (reduced chisquare) = WSSR/ndf : 197561 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23783.6 +/- 4.387 (0.01845%) b = -149.107 +/- 38.87 (26.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:55:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2984523622e+02 0.00e+00 4.59e-03 2.627756e-03 -3.474443e-04 3.167493e-03 2 1.2934394445e+02 -9.37e-04 4.59e-05 4.698500e-03 3.129118e-04 5.655032e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.344 rel. change during last iteration : -9.37414e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111747 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124873 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0046985 +/- 0.00124 (26.39%) bb = 0.000312912 +/- 0.001078 (344.6%) cc = 0.00565503 +/- 0.0005354 (9.468%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.451 0.202 1.000 ******************************************************************************* Thu Feb 27 18:55:26 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896718693e+11 0.00e+00 1.68e+04 2.378356e+04 -1.491068e+02 3 2.0456091185e+09 -7.99e-01 1.68e+01 2.913709e+04 -1.718970e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04561e+09 rel. change during last iteration : -7.98575e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.378 variance of residuals (reduced chisquare) = WSSR/ndf : 197472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29137.1 +/- 4.386 (0.01505%) b = -171.897 +/- 38.86 (22.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:27 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3088229007e+02 0.00e+00 1.29e-02 4.698500e-03 3.129118e-04 5.655032e-03 2 1.2958319468e+02 -7.92e-01 1.29e-04 2.357778e-03 3.343174e-03 3.799450e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.583 rel. change during last iteration : -7.91957e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11185 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125104 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00235778 +/- 0.001427 (60.51%) bb = 0.00334317 +/- 0.0007539 (22.55%) cc = 0.00379945 +/- 0.0003906 (10.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.117 1.000 cc -0.630 0.333 1.000 ******************************************************************************* Thu Feb 27 18:55:28 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085506086e+11 0.00e+00 2.06e+04 2.913709e+04 -1.718970e+02 2 2.0466752355e+09 -3.42e-02 2.06e+02 3.450736e+04 -1.719877e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04668e+09 rel. change during last iteration : -3.4166e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.494 variance of residuals (reduced chisquare) = WSSR/ndf : 197575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34507.4 +/- 4.387 (0.01271%) b = -171.988 +/- 38.86 (22.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:29 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2953632531e+02 0.00e+00 8.74e-03 2.357778e-03 3.343174e-03 3.799450e-03 2 1.2951770610e+02 -6.58e-06 8.74e-05 1.854179e-03 2.692809e-03 4.039189e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.518 rel. change during last iteration : -6.57648e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125041 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00185418 +/- 0.001417 (76.44%) bb = 0.00269281 +/- 0.0007449 (27.66%) cc = 0.00403919 +/- 0.0003932 (9.735%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.088 1.000 cc -0.629 0.240 1.000 ******************************************************************************* Thu Feb 27 18:55:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9841047454e+11 0.00e+00 2.44e+04 3.450736e+04 -1.719877e+02 3 2.0413280018e+09 -7.82e-01 2.44e+01 3.985546e+04 -1.538090e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04133e+09 rel. change during last iteration : -7.81847e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.913 variance of residuals (reduced chisquare) = WSSR/ndf : 197058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39855.5 +/- 4.382 (0.01099%) b = -153.809 +/- 38.81 (25.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:55:30 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2958980760e+02 0.00e+00 7.86e-03 1.854179e-03 2.692809e-03 4.039189e-03 2 1.2952777461e+02 -7.38e-05 7.86e-05 3.258851e-03 1.527741e-03 4.222193e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.528 rel. change during last iteration : -7.38332e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111826 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125051 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00325885 +/- 0.001333 (40.91%) bb = 0.00152774 +/- 0.0008178 (53.53%) cc = 0.00422219 +/- 0.000416 (9.854%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.566 0.087 1.000 ******************************************************************************* Thu Feb 27 18:55:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086406628e+11 0.00e+00 2.82e+04 3.985546e+04 -1.538090e+02 2 2.0414120867e+09 -3.47e-02 2.82e+02 4.522585e+04 -1.539340e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04141e+09 rel. change during last iteration : -3.46919e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.922 variance of residuals (reduced chisquare) = WSSR/ndf : 197067 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45225.8 +/- 4.382 (0.009689%) b = -153.934 +/- 38.81 (25.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2996841029e+02 0.00e+00 5.44e-03 3.258851e-03 1.527741e-03 4.222193e-03 2 1.2967747101e+02 -1.31e-04 5.44e-05 4.950749e-03 -1.782451e-03 5.866697e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.677 rel. change during last iteration : -1.30872e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111891 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125195 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00495075 +/- 0.001274 (25.73%) bb = -0.00178245 +/- 0.001085 (60.85%) cc = 0.0058667 +/- 0.00062 (10.57%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.501 -0.085 1.000 ******************************************************************************* Thu Feb 27 18:55:33 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9894331827e+11 0.00e+00 3.20e+04 4.522585e+04 -1.539340e+02 4 2.0417411768e+09 -2.02e-03 3.20e+00 5.057920e+04 -1.769102e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04174e+09 rel. change during last iteration : -2.01923e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.958 variance of residuals (reduced chisquare) = WSSR/ndf : 197098 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50579.2 +/- 4.382 (0.008664%) b = -176.91 +/- 38.81 (21.94%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:34 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3046594041e+02 0.00e+00 1.12e-02 4.950749e-03 -1.782451e-03 5.866697e-03 2 1.2988454116e+02 -1.04e-05 1.12e-04 3.328912e-03 -2.049537e-03 3.878934e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.885 rel. change during last iteration : -1.03649e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125395 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00332891 +/- 0.001418 (42.6%) bb = -0.00204954 +/- 0.0007864 (38.37%) cc = 0.00387893 +/- 0.0004509 (11.63%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.032 1.000 cc -0.629 -0.130 1.000 ******************************************************************************* Thu Feb 27 18:55:35 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086174750e+11 0.00e+00 3.58e+04 5.057920e+04 -1.769102e+02 2 2.0422853240e+09 -3.52e-02 3.58e+02 5.594956e+04 -1.770700e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04229e+09 rel. change during last iteration : -3.52355e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.017 variance of residuals (reduced chisquare) = WSSR/ndf : 197151 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55949.6 +/- 4.383 (0.007833%) b = -177.07 +/- 38.82 (21.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:36 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2906841719e+02 0.00e+00 6.75e-03 3.328912e-03 -2.049537e-03 3.878934e-03 2 1.2877663343e+02 -1.46e-05 6.75e-05 1.566037e-03 -9.546729e-04 5.978331e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.777 rel. change during last iteration : -1.4612e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124326 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00156604 +/- 0.001315 (83.96%) bb = -0.000954673 +/- 0.0008793 (92.1%) cc = 0.00597833 +/- 0.0004673 (7.816%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.029 1.000 cc -0.552 0.002 1.000 ******************************************************************************* Thu Feb 27 18:55:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9854784941e+11 0.00e+00 3.96e+04 5.594956e+04 -1.770700e+02 4 2.0409245638e+09 -2.91e-03 3.96e+00 6.129885e+04 -1.538693e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04092e+09 rel. change during last iteration : -2.91119e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.869 variance of residuals (reduced chisquare) = WSSR/ndf : 197019 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61298.9 +/- 4.381 (0.007147%) b = -153.869 +/- 38.81 (25.22%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:37 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3069550037e+02 0.00e+00 8.69e-03 1.566037e-03 -9.546729e-04 5.978331e-03 2 1.3025989137e+02 -5.04e-03 8.69e-05 6.322595e-03 1.721449e-03 3.535678e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.26 rel. change during last iteration : -5.03805e-08 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112142 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125758 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00632259 +/- 0.001313 (20.77%) bb = 0.00172145 +/- 0.0009629 (55.93%) cc = 0.00353568 +/- 0.0005327 (15.07%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.005 1.000 cc -0.537 0.159 1.000 ******************************************************************************* Thu Feb 27 18:55:38 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0084190335e+11 0.00e+00 4.33e+04 6.129885e+04 -1.538693e+02 2 2.0420524586e+09 -3.43e-02 4.33e+02 6.666904e+04 -1.539180e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04205e+09 rel. change during last iteration : -3.42702e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.991 variance of residuals (reduced chisquare) = WSSR/ndf : 197128 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66669 +/- 4.382 (0.006573%) b = -153.918 +/- 38.82 (25.22%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:55:39 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2947962901e+02 0.00e+00 7.65e-03 6.322595e-03 1.721449e-03 3.535678e-03 2 1.2931371251e+02 -1.03e-05 7.65e-05 1.436647e-03 1.350947e-03 4.762412e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.314 rel. change during last iteration : -1.02535e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111734 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124844 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00143665 +/- 0.001397 (97.27%) bb = 0.00135095 +/- 0.0007789 (57.66%) cc = 0.00476241 +/- 0.0004343 (9.119%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.021 1.000 cc -0.619 0.057 1.000 ******************************************************************************* Thu Feb 27 18:55:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896370360e+11 0.00e+00 4.71e+04 6.666904e+04 -1.539180e+02 2 2.0416843980e+09 -8.48e-01 4.71e+02 7.202236e+04 -1.568277e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04168e+09 rel. change during last iteration : -8.47681e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.951 variance of residuals (reduced chisquare) = WSSR/ndf : 197093 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72022.4 +/- 4.382 (0.006084%) b = -156.828 +/- 38.81 (24.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2932775046e+02 0.00e+00 6.79e-03 1.436647e-03 1.350947e-03 4.762412e-03 2 1.2899856598e+02 -4.86e-04 6.79e-05 3.166189e-03 -1.546120e-03 6.375937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.999 rel. change during last iteration : -4.85637e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111598 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012454 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00316619 +/- 0.001274 (40.25%) bb = -0.00154612 +/- 0.000993 (64.22%) cc = 0.00637594 +/- 0.0005262 (8.253%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.504 -0.086 1.000 ******************************************************************************* Thu Feb 27 18:55:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0083476222e+11 0.00e+00 5.09e+04 7.202236e+04 -1.568277e+02 2 2.0409585936e+09 -6.33e-01 5.09e+02 7.739251e+04 -1.591903e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04096e+09 rel. change during last iteration : -6.33269e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.872 variance of residuals (reduced chisquare) = WSSR/ndf : 197023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77392.5 +/- 4.381 (0.005661%) b = -159.19 +/- 38.81 (24.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:42 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3150735512e+02 0.00e+00 1.19e-02 3.166189e-03 -1.546120e-03 6.375937e-03 2 1.3036341586e+02 -2.02e-04 1.19e-04 5.827490e-03 -1.344216e-03 2.607568e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.363 rel. change during last iteration : -2.01824e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112186 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125858 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00582749 +/- 0.001408 (24.16%) bb = -0.00134422 +/- 0.0007864 (58.5%) cc = 0.00260757 +/- 0.000444 (17.03%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.621 -0.066 1.000 ******************************************************************************* Thu Feb 27 18:55:43 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9877051138e+11 0.00e+00 5.47e+04 7.739251e+04 -1.591903e+02 2 2.0407759945e+09 -4.74e-01 5.47e+02 8.274409e+04 -1.611092e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04078e+09 rel. change during last iteration : -4.74173e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.853 variance of residuals (reduced chisquare) = WSSR/ndf : 197005 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82744.1 +/- 4.381 (0.005295%) b = -161.109 +/- 38.8 (24.09%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:44 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2910303497e+02 0.00e+00 5.30e-03 5.827490e-03 -1.344216e-03 2.607568e-03 2 1.2759140651e+02 -4.74e-05 5.30e-05 -3.874676e-04 2.657167e-04 7.916837e-03 After 2 iterations the fit converged. final sum of squares of residuals : 127.591 rel. change during last iteration : -4.74478e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123182 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -0.000387468 +/- 0.001295 (334.3%) bb = 0.000265717 +/- 0.0009136 (343.8%) cc = 0.00791684 +/- 0.0004882 (6.167%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.041 1.000 cc -0.538 0.000 1.000 ******************************************************************************* Thu Feb 27 18:55:45 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0064066031e+11 0.00e+00 5.85e+04 8.274409e+04 -1.611092e+02 2 2.0415049368e+09 -9.21e-02 5.85e+02 8.811246e+04 -1.604477e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0415e+09 rel. change during last iteration : -9.20702e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.932 variance of residuals (reduced chisquare) = WSSR/ndf : 197075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88112.5 +/- 4.382 (0.004973%) b = -160.448 +/- 38.81 (24.19%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:46 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3329926842e+02 0.00e+00 1.37e-02 -3.874676e-04 2.657167e-04 7.916837e-03 3 1.3067068524e+02 -3.39e-05 1.37e-05 8.344954e-03 1.418613e-03 1.505729e-03 After 3 iterations the fit converged. final sum of squares of residuals : 130.671 rel. change during last iteration : -3.39349e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112318 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126154 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00834495 +/- 0.001369 (16.41%) bb = 0.00141861 +/- 0.0008327 (58.7%) cc = 0.00150573 +/- 0.0004582 (30.43%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.001 1.000 cc -0.590 0.082 1.000 ******************************************************************************* Thu Feb 27 18:55:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9875139070e+11 0.00e+00 6.23e+04 8.811246e+04 -1.604477e+02 2 2.0419730581e+09 -7.97e-02 6.23e+02 9.346382e+04 -1.598961e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04197e+09 rel. change during last iteration : -7.96908e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.983 variance of residuals (reduced chisquare) = WSSR/ndf : 197121 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93463.8 +/- 4.382 (0.004689%) b = -159.896 +/- 38.82 (24.28%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:48 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985651481e+02 0.00e+00 5.50e-03 8.344954e-03 1.418613e-03 1.505729e-03 2 1.2826855003e+02 -9.97e-05 5.50e-05 -2.094944e-04 2.539150e-04 6.864293e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.269 rel. change during last iteration : -9.97381e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111281 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123835 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -0.000209494 +/- 0.00134 (639.5%) bb = 0.000253915 +/- 0.0008598 (338.6%) cc = 0.00686429 +/- 0.0004782 (6.967%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.026 1.000 cc -0.578 0.025 1.000 ******************************************************************************* Thu Feb 27 18:55:49 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085258602e+11 0.00e+00 6.61e+04 9.346382e+04 -1.598961e+02 2 2.0418890285e+09 -5.96e-02 6.61e+02 9.883410e+04 -1.595085e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04189e+09 rel. change during last iteration : -5.95975e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.974 variance of residuals (reduced chisquare) = WSSR/ndf : 197113 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98834.1 +/- 4.382 (0.004434%) b = -159.509 +/- 38.81 (24.33%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:49 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3120098690e+02 0.00e+00 1.15e-02 -2.094944e-04 2.539150e-04 6.864293e-03 3 1.3024342373e+02 -3.40e-04 1.15e-05 6.005236e-03 -1.764106e-03 3.080738e-03 After 3 iterations the fit converged. final sum of squares of residuals : 130.243 rel. change during last iteration : -3.40104e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112135 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125742 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00600524 +/- 0.001333 (22.2%) bb = -0.00176411 +/- 0.0008656 (49.07%) cc = 0.00308074 +/- 0.0004605 (14.95%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.010 1.000 cc -0.561 -0.073 1.000 ******************************************************************************* Thu Feb 27 18:55:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9900023951e+11 0.00e+00 6.99e+04 9.883410e+04 -1.595085e+02 2 2.0625684164e+09 -4.62e-02 6.99e+02 1.041875e+05 -1.592494e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.06257e+09 rel. change during last iteration : -4.61647e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.216 variance of residuals (reduced chisquare) = WSSR/ndf : 199109 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104188 +/- 4.404 (0.004227%) b = -159.249 +/- 39.01 (24.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:55:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2989477606e+02 0.00e+00 6.33e-03 6.005236e-03 -1.764106e-03 3.080738e-03 2 1.2980007835e+02 -6.28e-06 6.33e-05 3.559610e-03 -9.732923e-04 4.283937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.8 rel. change during last iteration : -6.27657e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111944 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125314 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00355961 +/- 0.00137 (38.49%) bb = -0.000973292 +/- 0.0008393 (86.23%) cc = 0.00428394 +/- 0.0004754 (11.1%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.002 1.000 cc -0.596 -0.032 1.000 ******************************************************************************* Thu Feb 27 18:58:52 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 5.5725906682e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 2.0130085205e+09 -8.83e-03 7.12e-03 2.279302e+03 -1.330875e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.01301e+09 rel. change during last iteration : -8.83498e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.823 variance of residuals (reduced chisquare) = WSSR/ndf : 194325 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2279.3 +/- 4.352 (0.1909%) b = -133.087 +/- 38.58 (28.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.098 1.000 ******************************************************************************* Thu Feb 27 18:58:53 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4048154994e+04 0.00e+00 6.28e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.2726700363e+02 -2.19e-01 6.28e-03 5.690970e-03 1.865118e-02 5.759690e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.267 rel. change during last iteration : -2.18752e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110846 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122868 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00569097 +/- 0.001148 (20.17%) bb = 0.0186512 +/- 0.003572 (19.15%) cc = 0.0575969 +/- 0.003851 (6.686%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.040 1.000 cc -0.316 -0.097 1.000 ******************************************************************************* Thu Feb 27 18:58:54 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0536638683e+11 0.00e+00 1.61e+03 2.279302e+03 -1.330875e+02 2 2.0415971086e+09 -6.46e-01 1.61e+01 7.690194e+03 -1.512627e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0416e+09 rel. change during last iteration : -6.46092e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.942 variance of residuals (reduced chisquare) = WSSR/ndf : 197084 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7690.19 +/- 4.382 (0.05698%) b = -151.263 +/- 38.81 (25.66%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:58:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 6.5360606512e+02 0.00e+00 1.43e-01 5.690970e-03 1.865118e-02 5.759690e-02 2 1.3005452169e+02 -1.35e-01 1.43e-03 3.950350e-03 3.062098e-03 2.877497e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.055 rel. change during last iteration : -1.34849e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125559 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00395035 +/- 0.001445 (36.57%) bb = 0.0030621 +/- 0.0007339 (23.97%) cc = 0.0028775 +/- 0.0003651 (12.69%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.100 1.000 cc -0.629 0.382 1.000 ******************************************************************************* Thu Feb 27 18:58:55 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086073680e+11 0.00e+00 5.44e+03 7.690194e+03 -1.512627e+02 2 2.0419347022e+09 -8.18e-02 5.44e+01 1.306058e+04 -1.540120e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04193e+09 rel. change during last iteration : -8.18346e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.979 variance of residuals (reduced chisquare) = WSSR/ndf : 197117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13060.6 +/- 4.382 (0.03355%) b = -154.012 +/- 38.8 (25.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:58:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985924183e+02 0.00e+00 4.21e-03 3.950350e-03 3.062098e-03 2.877497e-03 2 1.2750750571e+02 -1.19e-04 4.21e-05 6.332355e-03 1.546009e-02 1.230706e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.508 rel. change during last iteration : -1.19072e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110951 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123101 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00633236 +/- 0.00131 (20.68%) bb = 0.0154601 +/- 0.001429 (9.24%) cc = 0.0123071 +/- 0.0007621 (6.193%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.256 1.000 cc -0.322 0.454 1.000 ******************************************************************************* Thu Feb 27 18:58:57 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9890799481e+11 0.00e+00 9.24e+03 1.306058e+04 -1.540120e+02 2 2.0463210723e+09 -1.91e-01 9.24e+01 1.841328e+04 -1.498300e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04632e+09 rel. change during last iteration : -1.91443e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.455 variance of residuals (reduced chisquare) = WSSR/ndf : 197540 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18413.3 +/- 4.387 (0.02382%) b = -149.83 +/- 38.85 (25.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:58:57 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4823889618e+02 0.00e+00 3.07e-02 6.332355e-03 1.546009e-02 1.230706e-02 2 1.3002968517e+02 -9.34e-04 3.07e-04 2.627756e-03 -3.474443e-04 3.167493e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.03 rel. change during last iteration : -9.33912e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112043 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125536 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00262776 +/- 0.0015 (57.08%) bb = -0.000347444 +/- 0.0006941 (199.8%) cc = 0.00316749 +/- 0.0003992 (12.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.677 0.126 1.000 ******************************************************************************* Thu Feb 27 18:58:58 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085848907e+11 0.00e+00 1.30e+04 1.841328e+04 -1.498300e+02 2 2.0465327150e+09 -4.08e-02 1.30e+02 2.378356e+04 -1.491068e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04653e+09 rel. change during last iteration : -4.07503e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.478 variance of residuals (reduced chisquare) = WSSR/ndf : 197561 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23783.6 +/- 4.387 (0.01845%) b = -149.107 +/- 38.87 (26.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:58:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2984523622e+02 0.00e+00 4.59e-03 2.627756e-03 -3.474443e-04 3.167493e-03 2 1.2934394445e+02 -9.37e-04 4.59e-05 4.698500e-03 3.129118e-04 5.655032e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.344 rel. change during last iteration : -9.37414e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111747 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124873 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0046985 +/- 0.00124 (26.39%) bb = 0.000312912 +/- 0.001078 (344.6%) cc = 0.00565503 +/- 0.0005354 (9.468%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.451 0.202 1.000 ******************************************************************************* Thu Feb 27 18:59:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896718693e+11 0.00e+00 1.68e+04 2.378356e+04 -1.491068e+02 3 2.0456091185e+09 -7.99e-01 1.68e+01 2.913709e+04 -1.718970e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04561e+09 rel. change during last iteration : -7.98575e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.378 variance of residuals (reduced chisquare) = WSSR/ndf : 197472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29137.1 +/- 4.386 (0.01505%) b = -171.897 +/- 38.86 (22.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:59:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3088229007e+02 0.00e+00 1.29e-02 4.698500e-03 3.129118e-04 5.655032e-03 2 1.2958319468e+02 -7.92e-01 1.29e-04 2.357778e-03 3.343174e-03 3.799450e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.583 rel. change during last iteration : -7.91957e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11185 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125104 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00235778 +/- 0.001427 (60.51%) bb = 0.00334317 +/- 0.0007539 (22.55%) cc = 0.00379945 +/- 0.0003906 (10.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.117 1.000 cc -0.630 0.333 1.000 ******************************************************************************* Thu Feb 27 18:59:02 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085506086e+11 0.00e+00 2.06e+04 2.913709e+04 -1.718970e+02 2 2.0466752355e+09 -3.42e-02 2.06e+02 3.450736e+04 -1.719877e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04668e+09 rel. change during last iteration : -3.4166e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.494 variance of residuals (reduced chisquare) = WSSR/ndf : 197575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34507.4 +/- 4.387 (0.01271%) b = -171.988 +/- 38.86 (22.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:59:03 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2953632531e+02 0.00e+00 8.74e-03 2.357778e-03 3.343174e-03 3.799450e-03 2 1.2951770610e+02 -6.58e-06 8.74e-05 1.854179e-03 2.692809e-03 4.039189e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.518 rel. change during last iteration : -6.57648e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125041 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00185418 +/- 0.001417 (76.44%) bb = 0.00269281 +/- 0.0007449 (27.66%) cc = 0.00403919 +/- 0.0003932 (9.735%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.088 1.000 cc -0.629 0.240 1.000 ******************************************************************************* Thu Feb 27 18:59:04 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9841047454e+11 0.00e+00 2.44e+04 3.450736e+04 -1.719877e+02 3 2.0413280018e+09 -7.82e-01 2.44e+01 3.985546e+04 -1.538090e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04133e+09 rel. change during last iteration : -7.81847e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.913 variance of residuals (reduced chisquare) = WSSR/ndf : 197058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39855.5 +/- 4.382 (0.01099%) b = -153.809 +/- 38.81 (25.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 18:59:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2958980760e+02 0.00e+00 7.86e-03 1.854179e-03 2.692809e-03 4.039189e-03 2 1.2952777461e+02 -7.38e-05 7.86e-05 3.258851e-03 1.527741e-03 4.222193e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.528 rel. change during last iteration : -7.38332e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111826 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125051 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00325885 +/- 0.001333 (40.91%) bb = 0.00152774 +/- 0.0008178 (53.53%) cc = 0.00422219 +/- 0.000416 (9.854%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.566 0.087 1.000 ******************************************************************************* Thu Feb 27 18:59:05 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086406628e+11 0.00e+00 2.82e+04 3.985546e+04 -1.538090e+02 2 2.0414120867e+09 -3.47e-02 2.82e+02 4.522585e+04 -1.539340e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04141e+09 rel. change during last iteration : -3.46919e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.922 variance of residuals (reduced chisquare) = WSSR/ndf : 197067 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45225.8 +/- 4.382 (0.009689%) b = -153.934 +/- 38.81 (25.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:59:06 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2996841029e+02 0.00e+00 5.44e-03 3.258851e-03 1.527741e-03 4.222193e-03 2 1.2967747101e+02 -1.31e-04 5.44e-05 4.950749e-03 -1.782451e-03 5.866697e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.677 rel. change during last iteration : -1.30872e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111891 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125195 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00495075 +/- 0.001274 (25.73%) bb = -0.00178245 +/- 0.001085 (60.85%) cc = 0.0058667 +/- 0.00062 (10.57%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.501 -0.085 1.000 ******************************************************************************* Thu Feb 27 18:59:07 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9894331827e+11 0.00e+00 3.20e+04 4.522585e+04 -1.539340e+02 4 2.0417411768e+09 -2.02e-03 3.20e+00 5.057920e+04 -1.769102e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04174e+09 rel. change during last iteration : -2.01923e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.958 variance of residuals (reduced chisquare) = WSSR/ndf : 197098 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50579.2 +/- 4.382 (0.008664%) b = -176.91 +/- 38.81 (21.94%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:59:08 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3046594041e+02 0.00e+00 1.12e-02 4.950749e-03 -1.782451e-03 5.866697e-03 2 1.2988454116e+02 -1.04e-05 1.12e-04 3.328912e-03 -2.049537e-03 3.878934e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.885 rel. change during last iteration : -1.03649e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125395 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00332891 +/- 0.001418 (42.6%) bb = -0.00204954 +/- 0.0007864 (38.37%) cc = 0.00387893 +/- 0.0004509 (11.63%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.032 1.000 cc -0.629 -0.130 1.000 ******************************************************************************* Thu Feb 27 18:59:09 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086174750e+11 0.00e+00 3.58e+04 5.057920e+04 -1.769102e+02 2 2.0422853240e+09 -3.52e-02 3.58e+02 5.594956e+04 -1.770700e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04229e+09 rel. change during last iteration : -3.52355e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.017 variance of residuals (reduced chisquare) = WSSR/ndf : 197151 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55949.6 +/- 4.383 (0.007833%) b = -177.07 +/- 38.82 (21.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 18:59:10 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2906841719e+02 0.00e+00 6.75e-03 3.328912e-03 -2.049537e-03 3.878934e-03 2 1.2877663343e+02 -1.46e-05 6.75e-05 1.566037e-03 -9.546729e-04 5.978331e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.777 rel. change during last iteration : -1.4612e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124326 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00156604 +/- 0.001315 (83.96%) bb = -0.000954673 +/- 0.0008793 (92.1%) cc = 0.00597833 +/- 0.0004673 (7.816%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.029 1.000 cc -0.552 0.002 1.000 ******************************************************************************* Thu Feb 27 19:07:28 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 5.5725906682e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 2.0130085205e+09 -8.83e-03 7.12e-03 2.279302e+03 -1.330875e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.01301e+09 rel. change during last iteration : -8.83498e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.823 variance of residuals (reduced chisquare) = WSSR/ndf : 194325 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2279.3 +/- 4.352 (0.1909%) b = -133.087 +/- 38.58 (28.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.098 1.000 ******************************************************************************* Thu Feb 27 19:07:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4048154994e+04 0.00e+00 6.28e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.2726700363e+02 -2.19e-01 6.28e-03 5.690970e-03 1.865118e-02 5.759690e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.267 rel. change during last iteration : -2.18752e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110846 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122868 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00569097 +/- 0.001148 (20.17%) bb = 0.0186512 +/- 0.003572 (19.15%) cc = 0.0575969 +/- 0.003851 (6.686%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.040 1.000 cc -0.316 -0.097 1.000 ******************************************************************************* Thu Feb 27 19:07:29 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0536638683e+11 0.00e+00 1.61e+03 2.279302e+03 -1.330875e+02 2 2.0415971086e+09 -6.46e-01 1.61e+01 7.690194e+03 -1.512627e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0416e+09 rel. change during last iteration : -6.46092e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.942 variance of residuals (reduced chisquare) = WSSR/ndf : 197084 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7690.19 +/- 4.382 (0.05698%) b = -151.263 +/- 38.81 (25.66%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:07:30 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 6.5360606512e+02 0.00e+00 1.43e-01 5.690970e-03 1.865118e-02 5.759690e-02 2 1.3005452169e+02 -1.35e-01 1.43e-03 3.950350e-03 3.062098e-03 2.877497e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.055 rel. change during last iteration : -1.34849e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125559 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00395035 +/- 0.001445 (36.57%) bb = 0.0030621 +/- 0.0007339 (23.97%) cc = 0.0028775 +/- 0.0003651 (12.69%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.100 1.000 cc -0.629 0.382 1.000 ******************************************************************************* Thu Feb 27 19:07:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086073680e+11 0.00e+00 5.44e+03 7.690194e+03 -1.512627e+02 2 2.0419347022e+09 -8.18e-02 5.44e+01 1.306058e+04 -1.540120e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04193e+09 rel. change during last iteration : -8.18346e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.979 variance of residuals (reduced chisquare) = WSSR/ndf : 197117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13060.6 +/- 4.382 (0.03355%) b = -154.012 +/- 38.8 (25.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:07:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985924183e+02 0.00e+00 4.21e-03 3.950350e-03 3.062098e-03 2.877497e-03 2 1.2750750571e+02 -1.19e-04 4.21e-05 6.332355e-03 1.546009e-02 1.230706e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.508 rel. change during last iteration : -1.19072e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110951 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123101 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00633236 +/- 0.00131 (20.68%) bb = 0.0154601 +/- 0.001429 (9.24%) cc = 0.0123071 +/- 0.0007621 (6.193%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.256 1.000 cc -0.322 0.454 1.000 ******************************************************************************* Thu Feb 27 19:07:33 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9890799481e+11 0.00e+00 9.24e+03 1.306058e+04 -1.540120e+02 2 2.0463210723e+09 -1.91e-01 9.24e+01 1.841328e+04 -1.498300e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04632e+09 rel. change during last iteration : -1.91443e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.455 variance of residuals (reduced chisquare) = WSSR/ndf : 197540 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18413.3 +/- 4.387 (0.02382%) b = -149.83 +/- 38.85 (25.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:07:33 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4823889618e+02 0.00e+00 3.07e-02 6.332355e-03 1.546009e-02 1.230706e-02 2 1.3002968517e+02 -9.34e-04 3.07e-04 2.627756e-03 -3.474443e-04 3.167493e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.03 rel. change during last iteration : -9.33912e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112043 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125536 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00262776 +/- 0.0015 (57.08%) bb = -0.000347444 +/- 0.0006941 (199.8%) cc = 0.00316749 +/- 0.0003992 (12.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.677 0.126 1.000 ******************************************************************************* Thu Feb 27 19:07:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085848907e+11 0.00e+00 1.30e+04 1.841328e+04 -1.498300e+02 2 2.0465327150e+09 -4.08e-02 1.30e+02 2.378356e+04 -1.491068e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04653e+09 rel. change during last iteration : -4.07503e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.478 variance of residuals (reduced chisquare) = WSSR/ndf : 197561 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23783.6 +/- 4.387 (0.01845%) b = -149.107 +/- 38.87 (26.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:07:35 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2984523622e+02 0.00e+00 4.59e-03 2.627756e-03 -3.474443e-04 3.167493e-03 2 1.2934394445e+02 -9.37e-04 4.59e-05 4.698500e-03 3.129118e-04 5.655032e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.344 rel. change during last iteration : -9.37414e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111747 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124873 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0046985 +/- 0.00124 (26.39%) bb = 0.000312912 +/- 0.001078 (344.6%) cc = 0.00565503 +/- 0.0005354 (9.468%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.451 0.202 1.000 ******************************************************************************* Thu Feb 27 19:07:36 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896718693e+11 0.00e+00 1.68e+04 2.378356e+04 -1.491068e+02 3 2.0456091185e+09 -7.99e-01 1.68e+01 2.913709e+04 -1.718970e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04561e+09 rel. change during last iteration : -7.98575e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.378 variance of residuals (reduced chisquare) = WSSR/ndf : 197472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29137.1 +/- 4.386 (0.01505%) b = -171.897 +/- 38.86 (22.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:07:37 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3088229007e+02 0.00e+00 1.29e-02 4.698500e-03 3.129118e-04 5.655032e-03 2 1.2958319468e+02 -7.92e-01 1.29e-04 2.357778e-03 3.343174e-03 3.799450e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.583 rel. change during last iteration : -7.91957e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11185 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125104 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00235778 +/- 0.001427 (60.51%) bb = 0.00334317 +/- 0.0007539 (22.55%) cc = 0.00379945 +/- 0.0003906 (10.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.117 1.000 cc -0.630 0.333 1.000 ******************************************************************************* Thu Feb 27 19:07:38 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085506086e+11 0.00e+00 2.06e+04 2.913709e+04 -1.718970e+02 2 2.0466752355e+09 -3.42e-02 2.06e+02 3.450736e+04 -1.719877e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04668e+09 rel. change during last iteration : -3.4166e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.494 variance of residuals (reduced chisquare) = WSSR/ndf : 197575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34507.4 +/- 4.387 (0.01271%) b = -171.988 +/- 38.86 (22.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:07:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2953632531e+02 0.00e+00 8.74e-03 2.357778e-03 3.343174e-03 3.799450e-03 2 1.2951770610e+02 -6.58e-06 8.74e-05 1.854179e-03 2.692809e-03 4.039189e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.518 rel. change during last iteration : -6.57648e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125041 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00185418 +/- 0.001417 (76.44%) bb = 0.00269281 +/- 0.0007449 (27.66%) cc = 0.00403919 +/- 0.0003932 (9.735%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.088 1.000 cc -0.629 0.240 1.000 ******************************************************************************* Thu Feb 27 19:07:39 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9841047454e+11 0.00e+00 2.44e+04 3.450736e+04 -1.719877e+02 3 2.0413280018e+09 -7.82e-01 2.44e+01 3.985546e+04 -1.538090e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04133e+09 rel. change during last iteration : -7.81847e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.913 variance of residuals (reduced chisquare) = WSSR/ndf : 197058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39855.5 +/- 4.382 (0.01099%) b = -153.809 +/- 38.81 (25.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:07:40 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2958980760e+02 0.00e+00 7.86e-03 1.854179e-03 2.692809e-03 4.039189e-03 2 1.2952777461e+02 -7.38e-05 7.86e-05 3.258851e-03 1.527741e-03 4.222193e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.528 rel. change during last iteration : -7.38332e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111826 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125051 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00325885 +/- 0.001333 (40.91%) bb = 0.00152774 +/- 0.0008178 (53.53%) cc = 0.00422219 +/- 0.000416 (9.854%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.566 0.087 1.000 ******************************************************************************* Thu Feb 27 19:07:41 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086406628e+11 0.00e+00 2.82e+04 3.985546e+04 -1.538090e+02 2 2.0414120867e+09 -3.47e-02 2.82e+02 4.522585e+04 -1.539340e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04141e+09 rel. change during last iteration : -3.46919e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.922 variance of residuals (reduced chisquare) = WSSR/ndf : 197067 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45225.8 +/- 4.382 (0.009689%) b = -153.934 +/- 38.81 (25.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:07:42 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2996841029e+02 0.00e+00 5.44e-03 3.258851e-03 1.527741e-03 4.222193e-03 2 1.2967747101e+02 -1.31e-04 5.44e-05 4.950749e-03 -1.782451e-03 5.866697e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.677 rel. change during last iteration : -1.30872e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111891 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125195 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00495075 +/- 0.001274 (25.73%) bb = -0.00178245 +/- 0.001085 (60.85%) cc = 0.0058667 +/- 0.00062 (10.57%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.501 -0.085 1.000 ******************************************************************************* Thu Feb 27 19:07:43 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9894331827e+11 0.00e+00 3.20e+04 4.522585e+04 -1.539340e+02 4 2.0417411768e+09 -2.02e-03 3.20e+00 5.057920e+04 -1.769102e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04174e+09 rel. change during last iteration : -2.01923e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.958 variance of residuals (reduced chisquare) = WSSR/ndf : 197098 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50579.2 +/- 4.382 (0.008664%) b = -176.91 +/- 38.81 (21.94%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:07:44 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3046594041e+02 0.00e+00 1.12e-02 4.950749e-03 -1.782451e-03 5.866697e-03 2 1.2988454116e+02 -1.04e-05 1.12e-04 3.328912e-03 -2.049537e-03 3.878934e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.885 rel. change during last iteration : -1.03649e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125395 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00332891 +/- 0.001418 (42.6%) bb = -0.00204954 +/- 0.0007864 (38.37%) cc = 0.00387893 +/- 0.0004509 (11.63%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.032 1.000 cc -0.629 -0.130 1.000 ******************************************************************************* Thu Feb 27 19:07:45 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086174750e+11 0.00e+00 3.58e+04 5.057920e+04 -1.769102e+02 2 2.0422853240e+09 -3.52e-02 3.58e+02 5.594956e+04 -1.770700e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04229e+09 rel. change during last iteration : -3.52355e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.017 variance of residuals (reduced chisquare) = WSSR/ndf : 197151 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55949.6 +/- 4.383 (0.007833%) b = -177.07 +/- 38.82 (21.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:07:45 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2906841719e+02 0.00e+00 6.75e-03 3.328912e-03 -2.049537e-03 3.878934e-03 2 1.2877663343e+02 -1.46e-05 6.75e-05 1.566037e-03 -9.546729e-04 5.978331e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.777 rel. change during last iteration : -1.4612e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124326 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00156604 +/- 0.001315 (83.96%) bb = -0.000954673 +/- 0.0008793 (92.1%) cc = 0.00597833 +/- 0.0004673 (7.816%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.029 1.000 cc -0.552 0.002 1.000 ******************************************************************************* Thu Feb 27 19:11:25 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 5.5725906682e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 2.0130085205e+09 -8.83e-03 7.12e-03 2.279302e+03 -1.330875e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.01301e+09 rel. change during last iteration : -8.83498e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.823 variance of residuals (reduced chisquare) = WSSR/ndf : 194325 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2279.3 +/- 4.352 (0.1909%) b = -133.087 +/- 38.58 (28.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.098 1.000 ******************************************************************************* Thu Feb 27 19:11:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4048154994e+04 0.00e+00 6.28e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.2726700363e+02 -2.19e-01 6.28e-03 5.690970e-03 1.865118e-02 5.759690e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.267 rel. change during last iteration : -2.18752e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110846 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122868 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00569097 +/- 0.001148 (20.17%) bb = 0.0186512 +/- 0.003572 (19.15%) cc = 0.0575969 +/- 0.003851 (6.686%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.040 1.000 cc -0.316 -0.097 1.000 ******************************************************************************* Thu Feb 27 19:11:26 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0536638683e+11 0.00e+00 1.61e+03 2.279302e+03 -1.330875e+02 2 2.0415971086e+09 -6.46e-01 1.61e+01 7.690194e+03 -1.512627e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0416e+09 rel. change during last iteration : -6.46092e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.942 variance of residuals (reduced chisquare) = WSSR/ndf : 197084 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7690.19 +/- 4.382 (0.05698%) b = -151.263 +/- 38.81 (25.66%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:11:27 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 6.5360606512e+02 0.00e+00 1.43e-01 5.690970e-03 1.865118e-02 5.759690e-02 2 1.3005452169e+02 -1.35e-01 1.43e-03 3.950350e-03 3.062098e-03 2.877497e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.055 rel. change during last iteration : -1.34849e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125559 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00395035 +/- 0.001445 (36.57%) bb = 0.0030621 +/- 0.0007339 (23.97%) cc = 0.0028775 +/- 0.0003651 (12.69%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.100 1.000 cc -0.629 0.382 1.000 ******************************************************************************* Thu Feb 27 19:11:28 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086073680e+11 0.00e+00 5.44e+03 7.690194e+03 -1.512627e+02 2 2.0419347022e+09 -8.18e-02 5.44e+01 1.306058e+04 -1.540120e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04193e+09 rel. change during last iteration : -8.18346e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.979 variance of residuals (reduced chisquare) = WSSR/ndf : 197117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13060.6 +/- 4.382 (0.03355%) b = -154.012 +/- 38.8 (25.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:11:29 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985924183e+02 0.00e+00 4.21e-03 3.950350e-03 3.062098e-03 2.877497e-03 2 1.2750750571e+02 -1.19e-04 4.21e-05 6.332355e-03 1.546009e-02 1.230706e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.508 rel. change during last iteration : -1.19072e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110951 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123101 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00633236 +/- 0.00131 (20.68%) bb = 0.0154601 +/- 0.001429 (9.24%) cc = 0.0123071 +/- 0.0007621 (6.193%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.256 1.000 cc -0.322 0.454 1.000 ******************************************************************************* Thu Feb 27 19:11:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9890799481e+11 0.00e+00 9.24e+03 1.306058e+04 -1.540120e+02 2 2.0463210723e+09 -1.91e-01 9.24e+01 1.841328e+04 -1.498300e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04632e+09 rel. change during last iteration : -1.91443e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.455 variance of residuals (reduced chisquare) = WSSR/ndf : 197540 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18413.3 +/- 4.387 (0.02382%) b = -149.83 +/- 38.85 (25.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:11:30 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4823889618e+02 0.00e+00 3.07e-02 6.332355e-03 1.546009e-02 1.230706e-02 2 1.3002968517e+02 -9.34e-04 3.07e-04 2.627756e-03 -3.474443e-04 3.167493e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.03 rel. change during last iteration : -9.33912e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112043 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125536 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00262776 +/- 0.0015 (57.08%) bb = -0.000347444 +/- 0.0006941 (199.8%) cc = 0.00316749 +/- 0.0003992 (12.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.677 0.126 1.000 ******************************************************************************* Thu Feb 27 19:11:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085848907e+11 0.00e+00 1.30e+04 1.841328e+04 -1.498300e+02 2 2.0465327150e+09 -4.08e-02 1.30e+02 2.378356e+04 -1.491068e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04653e+09 rel. change during last iteration : -4.07503e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.478 variance of residuals (reduced chisquare) = WSSR/ndf : 197561 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23783.6 +/- 4.387 (0.01845%) b = -149.107 +/- 38.87 (26.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:11:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2984523622e+02 0.00e+00 4.59e-03 2.627756e-03 -3.474443e-04 3.167493e-03 2 1.2934394445e+02 -9.37e-04 4.59e-05 4.698500e-03 3.129118e-04 5.655032e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.344 rel. change during last iteration : -9.37414e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111747 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124873 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0046985 +/- 0.00124 (26.39%) bb = 0.000312912 +/- 0.001078 (344.6%) cc = 0.00565503 +/- 0.0005354 (9.468%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.451 0.202 1.000 ******************************************************************************* Thu Feb 27 19:11:33 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896718693e+11 0.00e+00 1.68e+04 2.378356e+04 -1.491068e+02 3 2.0456091185e+09 -7.99e-01 1.68e+01 2.913709e+04 -1.718970e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04561e+09 rel. change during last iteration : -7.98575e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.378 variance of residuals (reduced chisquare) = WSSR/ndf : 197472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29137.1 +/- 4.386 (0.01505%) b = -171.897 +/- 38.86 (22.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:11:34 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3088229007e+02 0.00e+00 1.29e-02 4.698500e-03 3.129118e-04 5.655032e-03 2 1.2958319468e+02 -7.92e-01 1.29e-04 2.357778e-03 3.343174e-03 3.799450e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.583 rel. change during last iteration : -7.91957e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11185 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125104 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00235778 +/- 0.001427 (60.51%) bb = 0.00334317 +/- 0.0007539 (22.55%) cc = 0.00379945 +/- 0.0003906 (10.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.117 1.000 cc -0.630 0.333 1.000 ******************************************************************************* Thu Feb 27 19:11:35 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085506086e+11 0.00e+00 2.06e+04 2.913709e+04 -1.718970e+02 2 2.0466752355e+09 -3.42e-02 2.06e+02 3.450736e+04 -1.719877e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04668e+09 rel. change during last iteration : -3.4166e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.494 variance of residuals (reduced chisquare) = WSSR/ndf : 197575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34507.4 +/- 4.387 (0.01271%) b = -171.988 +/- 38.86 (22.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:11:35 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2953632531e+02 0.00e+00 8.74e-03 2.357778e-03 3.343174e-03 3.799450e-03 2 1.2951770610e+02 -6.58e-06 8.74e-05 1.854179e-03 2.692809e-03 4.039189e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.518 rel. change during last iteration : -6.57648e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125041 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00185418 +/- 0.001417 (76.44%) bb = 0.00269281 +/- 0.0007449 (27.66%) cc = 0.00403919 +/- 0.0003932 (9.735%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.088 1.000 cc -0.629 0.240 1.000 ******************************************************************************* Thu Feb 27 19:11:36 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9841047454e+11 0.00e+00 2.44e+04 3.450736e+04 -1.719877e+02 3 2.0413280018e+09 -7.82e-01 2.44e+01 3.985546e+04 -1.538090e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04133e+09 rel. change during last iteration : -7.81847e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.913 variance of residuals (reduced chisquare) = WSSR/ndf : 197058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39855.5 +/- 4.382 (0.01099%) b = -153.809 +/- 38.81 (25.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 19:11:37 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2958980760e+02 0.00e+00 7.86e-03 1.854179e-03 2.692809e-03 4.039189e-03 2 1.2952777461e+02 -7.38e-05 7.86e-05 3.258851e-03 1.527741e-03 4.222193e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.528 rel. change during last iteration : -7.38332e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111826 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125051 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00325885 +/- 0.001333 (40.91%) bb = 0.00152774 +/- 0.0008178 (53.53%) cc = 0.00422219 +/- 0.000416 (9.854%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.566 0.087 1.000 ******************************************************************************* Thu Feb 27 19:11:38 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086406628e+11 0.00e+00 2.82e+04 3.985546e+04 -1.538090e+02 2 2.0414120867e+09 -3.47e-02 2.82e+02 4.522585e+04 -1.539340e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04141e+09 rel. change during last iteration : -3.46919e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.922 variance of residuals (reduced chisquare) = WSSR/ndf : 197067 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45225.8 +/- 4.382 (0.009689%) b = -153.934 +/- 38.81 (25.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:11:39 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2996841029e+02 0.00e+00 5.44e-03 3.258851e-03 1.527741e-03 4.222193e-03 2 1.2967747101e+02 -1.31e-04 5.44e-05 4.950749e-03 -1.782451e-03 5.866697e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.677 rel. change during last iteration : -1.30872e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111891 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125195 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00495075 +/- 0.001274 (25.73%) bb = -0.00178245 +/- 0.001085 (60.85%) cc = 0.0058667 +/- 0.00062 (10.57%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.501 -0.085 1.000 ******************************************************************************* Thu Feb 27 19:11:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9894331827e+11 0.00e+00 3.20e+04 4.522585e+04 -1.539340e+02 4 2.0417411768e+09 -2.02e-03 3.20e+00 5.057920e+04 -1.769102e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04174e+09 rel. change during last iteration : -2.01923e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.958 variance of residuals (reduced chisquare) = WSSR/ndf : 197098 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50579.2 +/- 4.382 (0.008664%) b = -176.91 +/- 38.81 (21.94%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:11:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3046594041e+02 0.00e+00 1.12e-02 4.950749e-03 -1.782451e-03 5.866697e-03 2 1.2988454116e+02 -1.04e-05 1.12e-04 3.328912e-03 -2.049537e-03 3.878934e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.885 rel. change during last iteration : -1.03649e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125395 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00332891 +/- 0.001418 (42.6%) bb = -0.00204954 +/- 0.0007864 (38.37%) cc = 0.00387893 +/- 0.0004509 (11.63%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.032 1.000 cc -0.629 -0.130 1.000 ******************************************************************************* Thu Feb 27 19:11:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086174750e+11 0.00e+00 3.58e+04 5.057920e+04 -1.769102e+02 2 2.0422853240e+09 -3.52e-02 3.58e+02 5.594956e+04 -1.770700e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04229e+09 rel. change during last iteration : -3.52355e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.017 variance of residuals (reduced chisquare) = WSSR/ndf : 197151 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55949.6 +/- 4.383 (0.007833%) b = -177.07 +/- 38.82 (21.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 19:11:42 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2906841719e+02 0.00e+00 6.75e-03 3.328912e-03 -2.049537e-03 3.878934e-03 2 1.2877663343e+02 -1.46e-05 6.75e-05 1.566037e-03 -9.546729e-04 5.978331e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.777 rel. change during last iteration : -1.4612e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124326 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00156604 +/- 0.001315 (83.96%) bb = -0.000954673 +/- 0.0008793 (92.1%) cc = 0.00597833 +/- 0.0004673 (7.816%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.029 1.000 cc -0.552 0.002 1.000 ******************************************************************************* Thu Feb 27 20:22:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 5.5725906682e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 2.0130085205e+09 -8.83e-03 7.12e-03 2.279302e+03 -1.330875e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.01301e+09 rel. change during last iteration : -8.83498e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.823 variance of residuals (reduced chisquare) = WSSR/ndf : 194325 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2279.3 +/- 4.352 (0.1909%) b = -133.087 +/- 38.58 (28.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.098 1.000 ******************************************************************************* Thu Feb 27 20:22:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4048154994e+04 0.00e+00 6.28e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.2726700363e+02 -2.19e-01 6.28e-03 5.690970e-03 1.865118e-02 5.759690e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.267 rel. change during last iteration : -2.18752e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110846 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122868 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00569097 +/- 0.001148 (20.17%) bb = 0.0186512 +/- 0.003572 (19.15%) cc = 0.0575969 +/- 0.003851 (6.686%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.040 1.000 cc -0.316 -0.097 1.000 ******************************************************************************* Thu Feb 27 20:22:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0536638683e+11 0.00e+00 1.61e+03 2.279302e+03 -1.330875e+02 2 2.0415971086e+09 -6.46e-01 1.61e+01 7.690194e+03 -1.512627e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0416e+09 rel. change during last iteration : -6.46092e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.942 variance of residuals (reduced chisquare) = WSSR/ndf : 197084 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7690.19 +/- 4.382 (0.05698%) b = -151.263 +/- 38.81 (25.66%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:22:43 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 6.5360606512e+02 0.00e+00 1.43e-01 5.690970e-03 1.865118e-02 5.759690e-02 2 1.3005452169e+02 -1.35e-01 1.43e-03 3.950350e-03 3.062098e-03 2.877497e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.055 rel. change during last iteration : -1.34849e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125559 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00395035 +/- 0.001445 (36.57%) bb = 0.0030621 +/- 0.0007339 (23.97%) cc = 0.0028775 +/- 0.0003651 (12.69%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.100 1.000 cc -0.629 0.382 1.000 ******************************************************************************* Thu Feb 27 20:22:44 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086073680e+11 0.00e+00 5.44e+03 7.690194e+03 -1.512627e+02 2 2.0419347022e+09 -8.18e-02 5.44e+01 1.306058e+04 -1.540120e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04193e+09 rel. change during last iteration : -8.18346e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.979 variance of residuals (reduced chisquare) = WSSR/ndf : 197117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13060.6 +/- 4.382 (0.03355%) b = -154.012 +/- 38.8 (25.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:22:44 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985924183e+02 0.00e+00 4.21e-03 3.950350e-03 3.062098e-03 2.877497e-03 2 1.2750750571e+02 -1.19e-04 4.21e-05 6.332355e-03 1.546009e-02 1.230706e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.508 rel. change during last iteration : -1.19072e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110951 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123101 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00633236 +/- 0.00131 (20.68%) bb = 0.0154601 +/- 0.001429 (9.24%) cc = 0.0123071 +/- 0.0007621 (6.193%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.256 1.000 cc -0.322 0.454 1.000 ******************************************************************************* Thu Feb 27 20:22:45 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9890799481e+11 0.00e+00 9.24e+03 1.306058e+04 -1.540120e+02 2 2.0463210723e+09 -1.91e-01 9.24e+01 1.841328e+04 -1.498300e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04632e+09 rel. change during last iteration : -1.91443e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.455 variance of residuals (reduced chisquare) = WSSR/ndf : 197540 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18413.3 +/- 4.387 (0.02382%) b = -149.83 +/- 38.85 (25.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:22:46 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4823889618e+02 0.00e+00 3.07e-02 6.332355e-03 1.546009e-02 1.230706e-02 2 1.3002968517e+02 -9.34e-04 3.07e-04 2.627756e-03 -3.474443e-04 3.167493e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.03 rel. change during last iteration : -9.33912e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112043 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125536 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00262776 +/- 0.0015 (57.08%) bb = -0.000347444 +/- 0.0006941 (199.8%) cc = 0.00316749 +/- 0.0003992 (12.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.677 0.126 1.000 ******************************************************************************* Thu Feb 27 20:22:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085848907e+11 0.00e+00 1.30e+04 1.841328e+04 -1.498300e+02 2 2.0465327150e+09 -4.08e-02 1.30e+02 2.378356e+04 -1.491068e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04653e+09 rel. change during last iteration : -4.07503e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.478 variance of residuals (reduced chisquare) = WSSR/ndf : 197561 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23783.6 +/- 4.387 (0.01845%) b = -149.107 +/- 38.87 (26.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:22:47 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2984523622e+02 0.00e+00 4.59e-03 2.627756e-03 -3.474443e-04 3.167493e-03 2 1.2934394445e+02 -9.37e-04 4.59e-05 4.698500e-03 3.129118e-04 5.655032e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.344 rel. change during last iteration : -9.37414e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111747 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124873 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0046985 +/- 0.00124 (26.39%) bb = 0.000312912 +/- 0.001078 (344.6%) cc = 0.00565503 +/- 0.0005354 (9.468%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.451 0.202 1.000 ******************************************************************************* Thu Feb 27 20:22:48 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896718693e+11 0.00e+00 1.68e+04 2.378356e+04 -1.491068e+02 3 2.0456091185e+09 -7.99e-01 1.68e+01 2.913709e+04 -1.718970e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04561e+09 rel. change during last iteration : -7.98575e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.378 variance of residuals (reduced chisquare) = WSSR/ndf : 197472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29137.1 +/- 4.386 (0.01505%) b = -171.897 +/- 38.86 (22.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:22:49 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3088229007e+02 0.00e+00 1.29e-02 4.698500e-03 3.129118e-04 5.655032e-03 2 1.2958319468e+02 -7.92e-01 1.29e-04 2.357778e-03 3.343174e-03 3.799450e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.583 rel. change during last iteration : -7.91957e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11185 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125104 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00235778 +/- 0.001427 (60.51%) bb = 0.00334317 +/- 0.0007539 (22.55%) cc = 0.00379945 +/- 0.0003906 (10.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.117 1.000 cc -0.630 0.333 1.000 ******************************************************************************* Thu Feb 27 20:22:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085506086e+11 0.00e+00 2.06e+04 2.913709e+04 -1.718970e+02 2 2.0466752355e+09 -3.42e-02 2.06e+02 3.450736e+04 -1.719877e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04668e+09 rel. change during last iteration : -3.4166e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.494 variance of residuals (reduced chisquare) = WSSR/ndf : 197575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34507.4 +/- 4.387 (0.01271%) b = -171.988 +/- 38.86 (22.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:22:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2953632531e+02 0.00e+00 8.74e-03 2.357778e-03 3.343174e-03 3.799450e-03 2 1.2951770610e+02 -6.58e-06 8.74e-05 1.854179e-03 2.692809e-03 4.039189e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.518 rel. change during last iteration : -6.57648e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125041 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00185418 +/- 0.001417 (76.44%) bb = 0.00269281 +/- 0.0007449 (27.66%) cc = 0.00403919 +/- 0.0003932 (9.735%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.088 1.000 cc -0.629 0.240 1.000 ******************************************************************************* Thu Feb 27 20:22:52 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9841047454e+11 0.00e+00 2.44e+04 3.450736e+04 -1.719877e+02 3 2.0413280018e+09 -7.82e-01 2.44e+01 3.985546e+04 -1.538090e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04133e+09 rel. change during last iteration : -7.81847e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.913 variance of residuals (reduced chisquare) = WSSR/ndf : 197058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39855.5 +/- 4.382 (0.01099%) b = -153.809 +/- 38.81 (25.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:22:53 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2958980760e+02 0.00e+00 7.86e-03 1.854179e-03 2.692809e-03 4.039189e-03 2 1.2952777461e+02 -7.38e-05 7.86e-05 3.258851e-03 1.527741e-03 4.222193e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.528 rel. change during last iteration : -7.38332e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111826 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125051 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00325885 +/- 0.001333 (40.91%) bb = 0.00152774 +/- 0.0008178 (53.53%) cc = 0.00422219 +/- 0.000416 (9.854%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.566 0.087 1.000 ******************************************************************************* Thu Feb 27 20:22:54 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086406628e+11 0.00e+00 2.82e+04 3.985546e+04 -1.538090e+02 2 2.0414120867e+09 -3.47e-02 2.82e+02 4.522585e+04 -1.539340e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04141e+09 rel. change during last iteration : -3.46919e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.922 variance of residuals (reduced chisquare) = WSSR/ndf : 197067 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45225.8 +/- 4.382 (0.009689%) b = -153.934 +/- 38.81 (25.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:22:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2996841029e+02 0.00e+00 5.44e-03 3.258851e-03 1.527741e-03 4.222193e-03 2 1.2967747101e+02 -1.31e-04 5.44e-05 4.950749e-03 -1.782451e-03 5.866697e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.677 rel. change during last iteration : -1.30872e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111891 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125195 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00495075 +/- 0.001274 (25.73%) bb = -0.00178245 +/- 0.001085 (60.85%) cc = 0.0058667 +/- 0.00062 (10.57%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.501 -0.085 1.000 ******************************************************************************* Thu Feb 27 20:22:55 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9894331827e+11 0.00e+00 3.20e+04 4.522585e+04 -1.539340e+02 4 2.0417411768e+09 -2.02e-03 3.20e+00 5.057920e+04 -1.769102e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04174e+09 rel. change during last iteration : -2.01923e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.958 variance of residuals (reduced chisquare) = WSSR/ndf : 197098 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50579.2 +/- 4.382 (0.008664%) b = -176.91 +/- 38.81 (21.94%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:22:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3046594041e+02 0.00e+00 1.12e-02 4.950749e-03 -1.782451e-03 5.866697e-03 2 1.2988454116e+02 -1.04e-05 1.12e-04 3.328912e-03 -2.049537e-03 3.878934e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.885 rel. change during last iteration : -1.03649e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125395 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00332891 +/- 0.001418 (42.6%) bb = -0.00204954 +/- 0.0007864 (38.37%) cc = 0.00387893 +/- 0.0004509 (11.63%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.032 1.000 cc -0.629 -0.130 1.000 ******************************************************************************* Thu Feb 27 20:22:57 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086174750e+11 0.00e+00 3.58e+04 5.057920e+04 -1.769102e+02 2 2.0422853240e+09 -3.52e-02 3.58e+02 5.594956e+04 -1.770700e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04229e+09 rel. change during last iteration : -3.52355e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.017 variance of residuals (reduced chisquare) = WSSR/ndf : 197151 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55949.6 +/- 4.383 (0.007833%) b = -177.07 +/- 38.82 (21.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:22:58 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2906841719e+02 0.00e+00 6.75e-03 3.328912e-03 -2.049537e-03 3.878934e-03 2 1.2877663343e+02 -1.46e-05 6.75e-05 1.566037e-03 -9.546729e-04 5.978331e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.777 rel. change during last iteration : -1.4612e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124326 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00156604 +/- 0.001315 (83.96%) bb = -0.000954673 +/- 0.0008793 (92.1%) cc = 0.00597833 +/- 0.0004673 (7.816%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.029 1.000 cc -0.552 0.002 1.000 ******************************************************************************* Thu Feb 27 20:25:56 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 5.5725906682e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 2.0130085205e+09 -8.83e-03 7.12e-03 2.279302e+03 -1.330875e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.01301e+09 rel. change during last iteration : -8.83498e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 440.823 variance of residuals (reduced chisquare) = WSSR/ndf : 194325 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2279.3 +/- 4.352 (0.1909%) b = -133.087 +/- 38.58 (28.99%) correlation matrix of the fit parameters: a b a 1.000 b -0.098 1.000 ******************************************************************************* Thu Feb 27 20:25:57 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4048154994e+04 0.00e+00 6.28e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 1.2726700363e+02 -2.19e-01 6.28e-03 5.690970e-03 1.865118e-02 5.759690e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.267 rel. change during last iteration : -2.18752e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110846 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122868 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00569097 +/- 0.001148 (20.17%) bb = 0.0186512 +/- 0.003572 (19.15%) cc = 0.0575969 +/- 0.003851 (6.686%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.040 1.000 cc -0.316 -0.097 1.000 ******************************************************************************* Thu Feb 27 20:25:58 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0536638683e+11 0.00e+00 1.61e+03 2.279302e+03 -1.330875e+02 2 2.0415971086e+09 -6.46e-01 1.61e+01 7.690194e+03 -1.512627e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0416e+09 rel. change during last iteration : -6.46092e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.942 variance of residuals (reduced chisquare) = WSSR/ndf : 197084 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7690.19 +/- 4.382 (0.05698%) b = -151.263 +/- 38.81 (25.66%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:25:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 6.5360606512e+02 0.00e+00 1.43e-01 5.690970e-03 1.865118e-02 5.759690e-02 2 1.3005452169e+02 -1.35e-01 1.43e-03 3.950350e-03 3.062098e-03 2.877497e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.055 rel. change during last iteration : -1.34849e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112053 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125559 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00395035 +/- 0.001445 (36.57%) bb = 0.0030621 +/- 0.0007339 (23.97%) cc = 0.0028775 +/- 0.0003651 (12.69%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.100 1.000 cc -0.629 0.382 1.000 ******************************************************************************* Thu Feb 27 20:26:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086073680e+11 0.00e+00 5.44e+03 7.690194e+03 -1.512627e+02 2 2.0419347022e+09 -8.18e-02 5.44e+01 1.306058e+04 -1.540120e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04193e+09 rel. change during last iteration : -8.18346e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.979 variance of residuals (reduced chisquare) = WSSR/ndf : 197117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13060.6 +/- 4.382 (0.03355%) b = -154.012 +/- 38.8 (25.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:26:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985924183e+02 0.00e+00 4.21e-03 3.950350e-03 3.062098e-03 2.877497e-03 2 1.2750750571e+02 -1.19e-04 4.21e-05 6.332355e-03 1.546009e-02 1.230706e-02 After 2 iterations the fit converged. final sum of squares of residuals : 127.508 rel. change during last iteration : -1.19072e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110951 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123101 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00633236 +/- 0.00131 (20.68%) bb = 0.0154601 +/- 0.001429 (9.24%) cc = 0.0123071 +/- 0.0007621 (6.193%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.256 1.000 cc -0.322 0.454 1.000 ******************************************************************************* Thu Feb 27 20:26:02 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9890799481e+11 0.00e+00 9.24e+03 1.306058e+04 -1.540120e+02 2 2.0463210723e+09 -1.91e-01 9.24e+01 1.841328e+04 -1.498300e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04632e+09 rel. change during last iteration : -1.91443e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.455 variance of residuals (reduced chisquare) = WSSR/ndf : 197540 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18413.3 +/- 4.387 (0.02382%) b = -149.83 +/- 38.85 (25.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:26:02 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.4823889618e+02 0.00e+00 3.07e-02 6.332355e-03 1.546009e-02 1.230706e-02 2 1.3002968517e+02 -9.34e-04 3.07e-04 2.627756e-03 -3.474443e-04 3.167493e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.03 rel. change during last iteration : -9.33912e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112043 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125536 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00262776 +/- 0.0015 (57.08%) bb = -0.000347444 +/- 0.0006941 (199.8%) cc = 0.00316749 +/- 0.0003992 (12.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.677 0.126 1.000 ******************************************************************************* Thu Feb 27 20:26:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085848907e+11 0.00e+00 1.30e+04 1.841328e+04 -1.498300e+02 2 2.0465327150e+09 -4.08e-02 1.30e+02 2.378356e+04 -1.491068e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04653e+09 rel. change during last iteration : -4.07503e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.478 variance of residuals (reduced chisquare) = WSSR/ndf : 197561 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23783.6 +/- 4.387 (0.01845%) b = -149.107 +/- 38.87 (26.07%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:26:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2984523622e+02 0.00e+00 4.59e-03 2.627756e-03 -3.474443e-04 3.167493e-03 2 1.2934394445e+02 -9.37e-04 4.59e-05 4.698500e-03 3.129118e-04 5.655032e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.344 rel. change during last iteration : -9.37414e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111747 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124873 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0046985 +/- 0.00124 (26.39%) bb = 0.000312912 +/- 0.001078 (344.6%) cc = 0.00565503 +/- 0.0005354 (9.468%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.451 0.202 1.000 ******************************************************************************* Thu Feb 27 20:26:05 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896718693e+11 0.00e+00 1.68e+04 2.378356e+04 -1.491068e+02 3 2.0456091185e+09 -7.99e-01 1.68e+01 2.913709e+04 -1.718970e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04561e+09 rel. change during last iteration : -7.98575e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.378 variance of residuals (reduced chisquare) = WSSR/ndf : 197472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29137.1 +/- 4.386 (0.01505%) b = -171.897 +/- 38.86 (22.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:06 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3088229007e+02 0.00e+00 1.29e-02 4.698500e-03 3.129118e-04 5.655032e-03 2 1.2958319468e+02 -7.92e-01 1.29e-04 2.357778e-03 3.343174e-03 3.799450e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.583 rel. change during last iteration : -7.91957e-06 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11185 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125104 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00235778 +/- 0.001427 (60.51%) bb = 0.00334317 +/- 0.0007539 (22.55%) cc = 0.00379945 +/- 0.0003906 (10.28%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.117 1.000 cc -0.630 0.333 1.000 ******************************************************************************* Thu Feb 27 20:26:07 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085506086e+11 0.00e+00 2.06e+04 2.913709e+04 -1.718970e+02 2 2.0466752355e+09 -3.42e-02 2.06e+02 3.450736e+04 -1.719877e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04668e+09 rel. change during last iteration : -3.4166e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.494 variance of residuals (reduced chisquare) = WSSR/ndf : 197575 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34507.4 +/- 4.387 (0.01271%) b = -171.988 +/- 38.86 (22.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:08 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2953632531e+02 0.00e+00 8.74e-03 2.357778e-03 3.343174e-03 3.799450e-03 2 1.2951770610e+02 -6.58e-06 8.74e-05 1.854179e-03 2.692809e-03 4.039189e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.518 rel. change during last iteration : -6.57648e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111822 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125041 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00185418 +/- 0.001417 (76.44%) bb = 0.00269281 +/- 0.0007449 (27.66%) cc = 0.00403919 +/- 0.0003932 (9.735%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.088 1.000 cc -0.629 0.240 1.000 ******************************************************************************* Thu Feb 27 20:26:09 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9841047454e+11 0.00e+00 2.44e+04 3.450736e+04 -1.719877e+02 3 2.0413280018e+09 -7.82e-01 2.44e+01 3.985546e+04 -1.538090e+02 After 3 iterations the fit converged. final sum of squares of residuals : 2.04133e+09 rel. change during last iteration : -7.81847e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.913 variance of residuals (reduced chisquare) = WSSR/ndf : 197058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39855.5 +/- 4.382 (0.01099%) b = -153.809 +/- 38.81 (25.23%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:26:09 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2958980760e+02 0.00e+00 7.86e-03 1.854179e-03 2.692809e-03 4.039189e-03 2 1.2952777461e+02 -7.38e-05 7.86e-05 3.258851e-03 1.527741e-03 4.222193e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.528 rel. change during last iteration : -7.38332e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111826 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125051 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00325885 +/- 0.001333 (40.91%) bb = 0.00152774 +/- 0.0008178 (53.53%) cc = 0.00422219 +/- 0.000416 (9.854%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.566 0.087 1.000 ******************************************************************************* Thu Feb 27 20:26:10 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086406628e+11 0.00e+00 2.82e+04 3.985546e+04 -1.538090e+02 2 2.0414120867e+09 -3.47e-02 2.82e+02 4.522585e+04 -1.539340e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04141e+09 rel. change during last iteration : -3.46919e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.922 variance of residuals (reduced chisquare) = WSSR/ndf : 197067 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45225.8 +/- 4.382 (0.009689%) b = -153.934 +/- 38.81 (25.21%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:11 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2996841029e+02 0.00e+00 5.44e-03 3.258851e-03 1.527741e-03 4.222193e-03 2 1.2967747101e+02 -1.31e-04 5.44e-05 4.950749e-03 -1.782451e-03 5.866697e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.677 rel. change during last iteration : -1.30872e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111891 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125195 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00495075 +/- 0.001274 (25.73%) bb = -0.00178245 +/- 0.001085 (60.85%) cc = 0.0058667 +/- 0.00062 (10.57%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.025 1.000 cc -0.501 -0.085 1.000 ******************************************************************************* Thu Feb 27 20:26:12 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9894331827e+11 0.00e+00 3.20e+04 4.522585e+04 -1.539340e+02 4 2.0417411768e+09 -2.02e-03 3.20e+00 5.057920e+04 -1.769102e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04174e+09 rel. change during last iteration : -2.01923e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.958 variance of residuals (reduced chisquare) = WSSR/ndf : 197098 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50579.2 +/- 4.382 (0.008664%) b = -176.91 +/- 38.81 (21.94%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:13 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3046594041e+02 0.00e+00 1.12e-02 4.950749e-03 -1.782451e-03 5.866697e-03 2 1.2988454116e+02 -1.04e-05 1.12e-04 3.328912e-03 -2.049537e-03 3.878934e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.885 rel. change during last iteration : -1.03649e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11198 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125395 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00332891 +/- 0.001418 (42.6%) bb = -0.00204954 +/- 0.0007864 (38.37%) cc = 0.00387893 +/- 0.0004509 (11.63%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.032 1.000 cc -0.629 -0.130 1.000 ******************************************************************************* Thu Feb 27 20:26:14 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0086174750e+11 0.00e+00 3.58e+04 5.057920e+04 -1.769102e+02 2 2.0422853240e+09 -3.52e-02 3.58e+02 5.594956e+04 -1.770700e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04229e+09 rel. change during last iteration : -3.52355e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 444.017 variance of residuals (reduced chisquare) = WSSR/ndf : 197151 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55949.6 +/- 4.383 (0.007833%) b = -177.07 +/- 38.82 (21.92%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2906841719e+02 0.00e+00 6.75e-03 3.328912e-03 -2.049537e-03 3.878934e-03 2 1.2877663343e+02 -1.46e-05 6.75e-05 1.566037e-03 -9.546729e-04 5.978331e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.777 rel. change during last iteration : -1.4612e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111501 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124326 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00156604 +/- 0.001315 (83.96%) bb = -0.000954673 +/- 0.0008793 (92.1%) cc = 0.00597833 +/- 0.0004673 (7.816%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.029 1.000 cc -0.552 0.002 1.000 ******************************************************************************* Thu Feb 27 20:26:15 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9854784941e+11 0.00e+00 3.96e+04 5.594956e+04 -1.770700e+02 4 2.0409245638e+09 -2.91e-03 3.96e+00 6.129885e+04 -1.538693e+02 After 4 iterations the fit converged. final sum of squares of residuals : 2.04092e+09 rel. change during last iteration : -2.91119e-08 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.869 variance of residuals (reduced chisquare) = WSSR/ndf : 197019 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61298.9 +/- 4.381 (0.007147%) b = -153.869 +/- 38.81 (25.22%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:16 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3069550037e+02 0.00e+00 8.69e-03 1.566037e-03 -9.546729e-04 5.978331e-03 2 1.3025989137e+02 -5.04e-03 8.69e-05 6.322595e-03 1.721449e-03 3.535678e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.26 rel. change during last iteration : -5.03805e-08 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112142 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125758 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00632259 +/- 0.001313 (20.77%) bb = 0.00172145 +/- 0.0009629 (55.93%) cc = 0.00353568 +/- 0.0005327 (15.07%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.005 1.000 cc -0.537 0.159 1.000 ******************************************************************************* Thu Feb 27 20:26:17 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0084190335e+11 0.00e+00 4.33e+04 6.129885e+04 -1.538693e+02 2 2.0420524586e+09 -3.43e-02 4.33e+02 6.666904e+04 -1.539180e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04205e+09 rel. change during last iteration : -3.42702e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.991 variance of residuals (reduced chisquare) = WSSR/ndf : 197128 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66669 +/- 4.382 (0.006573%) b = -153.918 +/- 38.82 (25.22%) correlation matrix of the fit parameters: a b a 1.000 b -0.096 1.000 ******************************************************************************* Thu Feb 27 20:26:18 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2947962901e+02 0.00e+00 7.65e-03 6.322595e-03 1.721449e-03 3.535678e-03 2 1.2931371251e+02 -1.03e-05 7.65e-05 1.436647e-03 1.350947e-03 4.762412e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.314 rel. change during last iteration : -1.02535e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111734 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124844 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00143665 +/- 0.001397 (97.27%) bb = 0.00135095 +/- 0.0007789 (57.66%) cc = 0.00476241 +/- 0.0004343 (9.119%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.021 1.000 cc -0.619 0.057 1.000 ******************************************************************************* Thu Feb 27 20:26:19 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9896370360e+11 0.00e+00 4.71e+04 6.666904e+04 -1.539180e+02 2 2.0416843980e+09 -8.48e-01 4.71e+02 7.202236e+04 -1.568277e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04168e+09 rel. change during last iteration : -8.47681e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.951 variance of residuals (reduced chisquare) = WSSR/ndf : 197093 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72022.4 +/- 4.382 (0.006084%) b = -156.828 +/- 38.81 (24.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:20 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2932775046e+02 0.00e+00 6.79e-03 1.436647e-03 1.350947e-03 4.762412e-03 2 1.2899856598e+02 -4.86e-04 6.79e-05 3.166189e-03 -1.546120e-03 6.375937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.999 rel. change during last iteration : -4.85637e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111598 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012454 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00316619 +/- 0.001274 (40.25%) bb = -0.00154612 +/- 0.000993 (64.22%) cc = 0.00637594 +/- 0.0005262 (8.253%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.029 1.000 cc -0.504 -0.086 1.000 ******************************************************************************* Thu Feb 27 20:26:21 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0083476222e+11 0.00e+00 5.09e+04 7.202236e+04 -1.568277e+02 2 2.0409585936e+09 -6.33e-01 5.09e+02 7.739251e+04 -1.591903e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04096e+09 rel. change during last iteration : -6.33269e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.872 variance of residuals (reduced chisquare) = WSSR/ndf : 197023 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77392.5 +/- 4.381 (0.005661%) b = -159.19 +/- 38.81 (24.38%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:21 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3150735512e+02 0.00e+00 1.19e-02 3.166189e-03 -1.546120e-03 6.375937e-03 2 1.3036341586e+02 -2.02e-04 1.19e-04 5.827490e-03 -1.344216e-03 2.607568e-03 After 2 iterations the fit converged. final sum of squares of residuals : 130.363 rel. change during last iteration : -2.01824e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112186 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125858 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00582749 +/- 0.001408 (24.16%) bb = -0.00134422 +/- 0.0007864 (58.5%) cc = 0.00260757 +/- 0.000444 (17.03%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.621 -0.066 1.000 ******************************************************************************* Thu Feb 27 20:26:22 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9877051138e+11 0.00e+00 5.47e+04 7.739251e+04 -1.591903e+02 2 2.0407759945e+09 -4.74e-01 5.47e+02 8.274409e+04 -1.611092e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04078e+09 rel. change during last iteration : -4.74173e-06 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.853 variance of residuals (reduced chisquare) = WSSR/ndf : 197005 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82744.1 +/- 4.381 (0.005295%) b = -161.109 +/- 38.8 (24.09%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:23 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2910303497e+02 0.00e+00 5.30e-03 5.827490e-03 -1.344216e-03 2.607568e-03 2 1.2759140651e+02 -4.74e-05 5.30e-05 -3.874676e-04 2.657167e-04 7.916837e-03 After 2 iterations the fit converged. final sum of squares of residuals : 127.591 rel. change during last iteration : -4.74478e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123182 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -0.000387468 +/- 0.001295 (334.3%) bb = 0.000265717 +/- 0.0009136 (343.8%) cc = 0.00791684 +/- 0.0004882 (6.167%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.041 1.000 cc -0.538 0.000 1.000 ******************************************************************************* Thu Feb 27 20:26:24 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0064066031e+11 0.00e+00 5.85e+04 8.274409e+04 -1.611092e+02 2 2.0415049368e+09 -9.21e-02 5.85e+02 8.811246e+04 -1.604477e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.0415e+09 rel. change during last iteration : -9.20702e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.932 variance of residuals (reduced chisquare) = WSSR/ndf : 197075 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88112.5 +/- 4.382 (0.004973%) b = -160.448 +/- 38.81 (24.19%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3329926842e+02 0.00e+00 1.37e-02 -3.874676e-04 2.657167e-04 7.916837e-03 3 1.3067068524e+02 -3.39e-05 1.37e-05 8.344954e-03 1.418613e-03 1.505729e-03 After 3 iterations the fit converged. final sum of squares of residuals : 130.671 rel. change during last iteration : -3.39349e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112318 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126154 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00834495 +/- 0.001369 (16.41%) bb = 0.00141861 +/- 0.0008327 (58.7%) cc = 0.00150573 +/- 0.0004582 (30.43%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.001 1.000 cc -0.590 0.082 1.000 ******************************************************************************* Thu Feb 27 20:26:26 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9875139070e+11 0.00e+00 6.23e+04 8.811246e+04 -1.604477e+02 2 2.0419730581e+09 -7.97e-02 6.23e+02 9.346382e+04 -1.598961e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04197e+09 rel. change during last iteration : -7.96908e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.983 variance of residuals (reduced chisquare) = WSSR/ndf : 197121 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93463.8 +/- 4.382 (0.004689%) b = -159.896 +/- 38.82 (24.28%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:27 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2985651481e+02 0.00e+00 5.50e-03 8.344954e-03 1.418613e-03 1.505729e-03 2 1.2826855003e+02 -9.97e-05 5.50e-05 -2.094944e-04 2.539150e-04 6.864293e-03 After 2 iterations the fit converged. final sum of squares of residuals : 128.269 rel. change during last iteration : -9.97381e-10 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111281 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123835 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = -0.000209494 +/- 0.00134 (639.5%) bb = 0.000253915 +/- 0.0008598 (338.6%) cc = 0.00686429 +/- 0.0004782 (6.967%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.026 1.000 cc -0.578 0.025 1.000 ******************************************************************************* Thu Feb 27 20:26:27 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 3.0085258602e+11 0.00e+00 6.61e+04 9.346382e+04 -1.598961e+02 2 2.0418890285e+09 -5.96e-02 6.61e+02 9.883410e+04 -1.595085e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.04189e+09 rel. change during last iteration : -5.95975e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.974 variance of residuals (reduced chisquare) = WSSR/ndf : 197113 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98834.1 +/- 4.382 (0.004434%) b = -159.509 +/- 38.81 (24.33%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:29 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.3120098690e+02 0.00e+00 1.15e-02 -2.094944e-04 2.539150e-04 6.864293e-03 3 1.3024342373e+02 -3.40e-04 1.15e-05 6.005236e-03 -1.764106e-03 3.080738e-03 After 3 iterations the fit converged. final sum of squares of residuals : 130.243 rel. change during last iteration : -3.40104e-09 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112135 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125742 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00600524 +/- 0.001333 (22.2%) bb = -0.00176411 +/- 0.0008656 (49.07%) cc = 0.00308074 +/- 0.0004605 (14.95%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.010 1.000 cc -0.561 -0.073 1.000 ******************************************************************************* Thu Feb 27 20:26:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 10361 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 2.9900023951e+11 0.00e+00 6.99e+04 9.883410e+04 -1.595085e+02 2 2.0625684164e+09 -4.62e-02 6.99e+02 1.041875e+05 -1.592494e+02 After 2 iterations the fit converged. final sum of squares of residuals : 2.06257e+09 rel. change during last iteration : -4.61647e-07 degrees of freedom (FIT_NDF) : 10359 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 446.216 variance of residuals (reduced chisquare) = WSSR/ndf : 199109 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104188 +/- 4.404 (0.004227%) b = -159.249 +/- 39.01 (24.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.097 1.000 ******************************************************************************* Thu Feb 27 20:26:31 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 10361 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 1.2989477606e+02 0.00e+00 6.33e-03 6.005236e-03 -1.764106e-03 3.080738e-03 2 1.2980007835e+02 -6.28e-06 6.33e-05 3.559610e-03 -9.732923e-04 4.283937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 129.8 rel. change during last iteration : -6.27657e-11 degrees of freedom (FIT_NDF) : 10358 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111944 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0125314 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00355961 +/- 0.00137 (38.49%) bb = -0.000973292 +/- 0.0008393 (86.23%) cc = 0.00428394 +/- 0.0004754 (11.1%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.002 1.000 cc -0.596 -0.032 1.000