******************************************************************************* Sat Feb 22 09:37:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 09:37:32 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613494e+05 0.00e+00 1.60e+00 2.269416e+00 -3.339508e+00 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6422e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -5.16933 +/- 3.093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 09:37:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e+00 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88395e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -5.4412 +/- 3.096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 09:37:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e+00 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -5.14063 +/- 3.097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 09:37:36 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e+00 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -5.27316 +/- 3.098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e+00 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23072e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -5.17496 +/- 3.098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9702646603e+05 0.00e+00 2.06e+01 2.911969e+01 -5.174959e+00 2 3.4907728821e+03 -1.61e-02 2.06e-01 3.448918e+01 -5.195593e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.77 rel. change during last iteration : -1.61049e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451606 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4892 +/- 0.003509 (0.01017%) b = -5.19559 +/- 3.094 (59.54%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:39 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9386669756e+05 0.00e+00 2.44e+01 3.448918e+01 -5.195593e+00 2 3.4983444443e+03 -3.90e-02 2.44e-01 3.984140e+01 -5.149849e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.34 rel. change during last iteration : -3.89636e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452095 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20439 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8414 +/- 0.003513 (0.008817%) b = -5.14985 +/- 3.097 (60.15%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9716587310e+05 0.00e+00 2.82e+01 3.984140e+01 -5.149849e+00 2 3.4966666321e+03 -2.61e-02 2.82e-01 4.521160e+01 -5.121395e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3496.67 rel. change during last iteration : -2.60759e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204292 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2116 +/- 0.003512 (0.007768%) b = -5.12139 +/- 3.097 (60.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:41 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9371481846e+05 0.00e+00 3.20e+01 4.521160e+01 -5.121395e+00 2 3.4986800355e+03 -2.17e-02 3.20e-01 5.056300e+01 -5.100567e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.68 rel. change during last iteration : -2.16613e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452117 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20441 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.563 +/- 0.003513 (0.006948%) b = -5.10057 +/- 3.097 (60.73%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9703138782e+05 0.00e+00 3.58e+01 5.056300e+01 -5.100567e+00 2 3.4910838867e+03 -1.41e-02 3.58e-01 5.593251e+01 -5.109122e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3491.08 rel. change during last iteration : -1.41279e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451626 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9325 +/- 0.003509 (0.006274%) b = -5.10912 +/- 3.094 (60.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9385854341e+05 0.00e+00 3.96e+01 5.593251e+01 -5.109122e+00 2 3.4971488681e+03 -2.04e-02 3.96e-01 6.128470e+01 -5.093406e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.15 rel. change during last iteration : -2.0392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452018 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20432 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2847 +/- 0.003512 (0.005731%) b = -5.09341 +/- 3.097 (60.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9716994626e+05 0.00e+00 4.33e+01 6.128470e+01 -5.093406e+00 2 3.4970412999e+03 -1.69e-02 4.33e-01 6.665493e+01 -5.082484e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.04 rel. change during last iteration : -1.69458e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452011 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204314 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6549 +/- 0.003512 (0.005269%) b = -5.08248 +/- 3.097 (60.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9357726445e+05 0.00e+00 4.71e+01 6.665493e+01 -5.082484e+00 2 3.4917280377e+03 -1.30e-02 4.71e-01 7.200562e+01 -5.086998e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3491.73 rel. change during last iteration : -1.29723e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0056 +/- 0.00351 (0.004874%) b = -5.087 +/- 3.094 (60.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9715940146e+05 0.00e+00 5.09e+01 7.200562e+01 -5.086998e+00 2 3.4905403353e+03 -1.38e-02 5.09e-01 7.737583e+01 -5.092504e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.54 rel. change during last iteration : -1.37927e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203934 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3758 +/- 0.003509 (0.004535%) b = -5.0925 +/- 3.094 (60.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9371891981e+05 0.00e+00 5.47e+01 7.737583e+01 -5.092504e+00 2 3.4897202881e+03 -1.34e-02 5.47e-01 8.272730e+01 -5.097214e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3489.72 rel. change during last iteration : -1.34382e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451538 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203886 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7273 +/- 0.003509 (0.004241%) b = -5.09721 +/- 3.094 (60.69%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:49 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9714522457e+05 0.00e+00 5.85e+01 8.272730e+01 -5.097214e+00 2 3.4902771530e+03 -1.33e-02 5.85e-01 8.809744e+01 -5.101210e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.28 rel. change during last iteration : -1.32593e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203919 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.0974 +/- 0.003509 (0.003983%) b = -5.10121 +/- 3.094 (60.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:50 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9372251947e+05 0.00e+00 6.23e+01 8.809744e+01 -5.101210e+00 2 3.4904759886e+03 -1.34e-02 6.23e-01 9.344892e+01 -5.105334e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.48 rel. change during last iteration : -1.34192e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451587 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203931 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4489 +/- 0.003509 (0.003755%) b = -5.10533 +/- 3.094 (60.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:51 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9715270210e+05 0.00e+00 6.61e+01 9.344892e+01 -5.105334e+00 2 3.4902365319e+03 -1.30e-02 6.61e-01 9.881910e+01 -5.108510e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.24 rel. change during last iteration : -1.30234e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451571 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8191 +/- 0.003509 (0.003551%) b = -5.10851 +/- 3.094 (60.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:52 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9383665554e+05 0.00e+00 6.99e+01 9.881910e+01 -5.108510e+00 2 3.4942389589e+03 -1.20e-02 6.99e-01 1.041712e+02 -5.109169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3494.24 rel. change during last iteration : -1.20179e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.45183 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20415 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.171 +/- 0.003511 (0.00337%) b = -5.10917 +/- 3.096 (60.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 09:37:53 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 12806 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.7144933498e+05 0.00e+00 7.37e+01 1.041712e+02 -5.109169e+00 2 2.6432078954e+03 -1.32e-01 7.37e-01 1.095377e+02 -5.082350e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2643.21 rel. change during last iteration : -1.32315e-06 degrees of freedom (FIT_NDF) : 12804 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.454352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.206436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.538 +/- 0.005184 (0.004733%) b = -5.08235 +/- 4.838 (95.19%) correlation matrix of the fit parameters: a b a 1.000 b -0.633 1.000 ******************************************************************************* Sat Feb 22 18:32:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 18:32:18 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 1.7103527502e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 2.1261425704e-02 -2.13e-01 5.77e-06 2.070214e-04 -2.660516e-03 -2.086778e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0212614 rel. change during last iteration : -2.12759e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111457 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24227e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000207021 +/- 1.16e-05 (5.603%) bb = -0.00266052 +/- 0.002591 (97.38%) cc = -0.208678 +/- 0.7184 (344.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 18:33:36 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 18:33:37 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 1.7103527502e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 2.1261425704e-02 -2.13e-01 5.77e-06 2.070214e-04 -2.660516e-03 -2.086778e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0212614 rel. change during last iteration : -2.12759e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111457 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24227e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000207021 +/- 1.16e-05 (5.603%) bb = -0.00266052 +/- 0.002591 (97.38%) cc = -0.208678 +/- 0.7184 (344.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 18:33:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613494e+05 0.00e+00 1.60e+00 2.269416e+00 -3.339508e+00 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6422e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -5.16933 +/- 3.093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:33:40 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1391687035e-02 0.00e+00 1.30e-04 2.070214e-04 -2.660516e-03 -2.086778e-01 2 2.1308656319e-02 -8.06e-05 1.30e-06 2.036704e-04 -4.342421e-04 -5.528872e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213087 rel. change during last iteration : -8.06294e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111581 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24503e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00020367 +/- 1.1e-05 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -0.00552887 +/- 0.03081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 18:33:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e+00 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88395e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -5.4412 +/- 3.096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:33:41 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1324561745e-02 0.00e+00 1.18e-04 2.036704e-04 -4.342421e-04 -5.528872e-03 3 2.1026437525e-02 -2.36e-02 1.18e-07 1.452617e-04 7.342969e-03 7.360989e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0210264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110839 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22854e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000145262 +/- 1.024e-05 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.736099 +/- 0.04917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 18:33:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e+00 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -5.14063 +/- 3.097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:33:43 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.2302749789e-02 0.00e+00 1.94e-04 1.452617e-04 7.342969e-03 7.360989e-01 2 2.1304400889e-02 -5.34e-05 1.94e-06 1.999514e-04 6.307196e-04 1.793797e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011157 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24478e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000199951 +/- 1.162e-05 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.017938 +/- 0.03099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 18:33:44 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e+00 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -5.27316 +/- 3.098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:33:45 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1290140795e-02 0.00e+00 1.16e-04 1.999514e-04 6.307196e-04 1.793797e-02 3 2.1161198441e-02 -1.46e-06 1.16e-07 1.548960e-04 8.383212e-04 4.763583e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0211612 rel. change during last iteration : -1.46051e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111194 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23641e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000154896 +/- 9.726e-06 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.476358 +/- 0.04661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 18:33:46 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e+00 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23072e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -5.17496 +/- 3.098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:33:47 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1689028344e-02 0.00e+00 1.34e-04 1.548960e-04 8.383212e-04 4.763583e-01 2 2.1294847326e-02 -3.05e-03 1.34e-06 2.120513e-04 -1.020705e-03 -4.126603e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111545 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24422e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000212051 +/- 1.1e-05 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.041266 +/- 0.03154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 18:33:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9702646603e+05 0.00e+00 2.06e+01 2.911969e+01 -5.174959e+00 2 3.4907728821e+03 -1.61e-02 2.06e-01 3.448918e+01 -5.195593e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.77 rel. change during last iteration : -1.61049e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451606 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4892 +/- 0.003509 (0.01017%) b = -5.19559 +/- 3.094 (59.54%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:33:49 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1309220552e-02 0.00e+00 1.23e-04 2.120513e-04 -1.020705e-03 -4.126603e-02 2 2.1306978189e-02 -6.15e-04 1.23e-06 2.029953e-04 -7.719009e-04 1.608866e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.021307 rel. change during last iteration : -6.15055e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111576 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24493e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000202995 +/- 1.09e-05 (5.369%) bb = -0.000771901 +/- 0.000596 (77.21%) cc = 0.00160887 +/- 0.0322 (2001%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.061 1.000 cc -0.620 0.190 1.000 ******************************************************************************* Sat Feb 22 18:33:50 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9386669756e+05 0.00e+00 2.44e+01 3.448918e+01 -5.195593e+00 2 3.4983444443e+03 -3.90e-02 2.44e-01 3.984140e+01 -5.149849e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.34 rel. change during last iteration : -3.89636e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452095 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20439 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8414 +/- 0.003513 (0.008817%) b = -5.14985 +/- 3.097 (60.15%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:33:51 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1301291617e-02 0.00e+00 1.17e-04 2.029953e-04 -7.719009e-04 1.608866e-03 3 2.1287480117e-02 -1.36e-01 1.17e-07 1.846080e-04 -7.739043e-04 1.229317e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0212875 rel. change during last iteration : -1.35753e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111525 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24379e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000184608 +/- 1.026e-05 (5.558%) bb = -0.000773904 +/- 0.0006827 (88.22%) cc = 0.122932 +/- 0.0365 (29.7%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.015 1.000 cc -0.556 0.068 1.000 ******************************************************************************* Sat Feb 22 18:33:52 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9716587310e+05 0.00e+00 2.82e+01 3.984140e+01 -5.149849e+00 2 3.4966666321e+03 -2.61e-02 2.82e-01 4.521160e+01 -5.121395e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3496.67 rel. change during last iteration : -2.60759e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204292 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2116 +/- 0.003512 (0.007768%) b = -5.12139 +/- 3.097 (60.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:33:53 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1232699036e-02 0.00e+00 1.08e-04 1.846080e-04 -7.739043e-04 1.229317e-01 2 2.1138907899e-02 -7.58e-04 1.08e-06 1.423256e-04 -4.798260e-04 5.103408e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0211389 rel. change during last iteration : -7.57931e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111136 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23511e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000142326 +/- 1.009e-05 (7.089%) bb = -0.000479826 +/- 0.00077 (160.5%) cc = 0.510341 +/- 0.0446 (8.74%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.030 1.000 cc -0.539 -0.000 1.000 ******************************************************************************* Sat Feb 22 18:33:54 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9371481846e+05 0.00e+00 3.20e+01 4.521160e+01 -5.121395e+00 2 3.4986800355e+03 -2.17e-02 3.20e-01 5.056300e+01 -5.100567e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.68 rel. change during last iteration : -2.16613e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452117 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20441 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.563 +/- 0.003513 (0.006948%) b = -5.10057 +/- 3.097 (60.73%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:33:55 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1511890398e-02 0.00e+00 1.26e-04 1.423256e-04 -4.798260e-04 5.103408e-01 2 2.1297551762e-02 -3.36e-03 1.26e-06 1.854155e-04 2.705689e-04 8.759919e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212976 rel. change during last iteration : -3.36167e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111552 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24438e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000185415 +/- 1.134e-05 (6.119%) bb = 0.000270569 +/- 0.0005888 (217.6%) cc = 0.0875992 +/- 0.03538 (40.39%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.045 1.000 cc -0.659 -0.105 1.000 ******************************************************************************* Sat Feb 22 18:33:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9703138782e+05 0.00e+00 3.58e+01 5.056300e+01 -5.100567e+00 2 3.4910838867e+03 -1.41e-02 3.58e-01 5.593251e+01 -5.109122e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3491.08 rel. change during last iteration : -1.41279e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451626 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9325 +/- 0.003509 (0.006274%) b = -5.10912 +/- 3.094 (60.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:33:57 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1264671376e-02 0.00e+00 1.08e-04 1.854155e-04 2.705689e-04 8.759919e-02 2 2.1212878406e-02 -8.88e-02 1.08e-06 1.586044e-04 1.672017e-03 3.374173e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212129 rel. change during last iteration : -8.87549e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011133 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23943e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000158604 +/- 1.016e-05 (6.406%) bb = 0.00167202 +/- 0.0007288 (43.59%) cc = 0.337417 +/- 0.0407 (12.06%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.012 1.000 cc -0.546 0.011 1.000 ******************************************************************************* Sat Feb 22 18:33:58 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9385854341e+05 0.00e+00 3.96e+01 5.593251e+01 -5.109122e+00 2 3.4971488681e+03 -2.04e-02 3.96e-01 6.128470e+01 -5.093406e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.15 rel. change during last iteration : -2.0392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452018 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20432 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2847 +/- 0.003512 (0.005731%) b = -5.09341 +/- 3.097 (60.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:33:59 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1291068429e-02 0.00e+00 1.06e-04 1.586044e-04 1.672017e-03 3.374173e-01 2 2.1271698912e-02 -2.75e-05 1.06e-06 1.739109e-04 7.317150e-04 1.937037e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212717 rel. change during last iteration : -2.74799e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111484 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24287e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000173911 +/- 1.051e-05 (6.044%) bb = 0.000731715 +/- 0.0006785 (92.72%) cc = 0.193704 +/- 0.03879 (20.02%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.003 1.000 cc -0.584 0.080 1.000 ******************************************************************************* Sat Feb 22 18:33:59 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9716994626e+05 0.00e+00 4.33e+01 6.128470e+01 -5.093406e+00 2 3.4970412999e+03 -1.69e-02 4.33e-01 6.665493e+01 -5.082484e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.04 rel. change during last iteration : -1.69458e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452011 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204314 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6549 +/- 0.003512 (0.005269%) b = -5.08248 +/- 3.097 (60.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:34:00 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1276288800e-02 0.00e+00 1.06e-04 1.739109e-04 7.317150e-04 1.937037e-01 2 2.1263055696e-02 -2.65e-03 1.06e-06 1.685071e-04 -1.286053e-03 1.932295e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212631 rel. change during last iteration : -2.64926e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111461 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24236e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000168507 +/- 1.084e-05 (6.435%) bb = -0.00128605 +/- 0.0006301 (48.99%) cc = 0.193229 +/- 0.0366 (18.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.026 1.000 cc -0.619 0.058 1.000 ******************************************************************************* Sat Feb 22 18:34:01 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9357726445e+05 0.00e+00 4.71e+01 6.665493e+01 -5.082484e+00 2 3.4917280377e+03 -1.30e-02 4.71e-01 7.200562e+01 -5.086998e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3491.73 rel. change during last iteration : -1.29723e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0056 +/- 0.00351 (0.004874%) b = -5.087 +/- 3.094 (60.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:34:02 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1232054222e-02 0.00e+00 1.01e-04 1.685071e-04 -1.286053e-03 1.932295e-01 2 2.1214955921e-02 -9.78e-05 1.01e-06 1.629585e-04 -2.325386e-03 3.243329e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.021215 rel. change during last iteration : -9.78454e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111335 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23955e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000162958 +/- 1.003e-05 (6.155%) bb = -0.00232539 +/- 0.0007455 (32.06%) cc = 0.324333 +/- 0.04065 (12.53%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.018 1.000 cc -0.528 -0.029 1.000 ******************************************************************************* Sat Feb 22 18:34:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9715940146e+05 0.00e+00 5.09e+01 7.200562e+01 -5.086998e+00 2 3.4905403353e+03 -1.38e-02 5.09e-01 7.737583e+01 -5.092504e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.54 rel. change during last iteration : -1.37927e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203934 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3758 +/- 0.003509 (0.004535%) b = -5.0925 +/- 3.094 (60.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:34:04 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1381609415e-02 0.00e+00 1.12e-04 1.629585e-04 -2.325386e-03 3.243329e-01 2 2.1292369605e-02 -8.12e-05 1.12e-06 1.859618e-04 8.327277e-04 9.050763e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212924 rel. change during last iteration : -8.11634e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111538 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24408e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000185962 +/- 1.115e-05 (5.997%) bb = 0.000832728 +/- 0.0006062 (72.79%) cc = 0.0905076 +/- 0.03622 (40.02%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.027 1.000 cc -0.644 -0.065 1.000 ******************************************************************************* Sat Feb 22 18:34:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9371891981e+05 0.00e+00 5.47e+01 7.737583e+01 -5.092504e+00 2 3.4897202881e+03 -1.34e-02 5.47e-01 8.272730e+01 -5.097214e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3489.72 rel. change during last iteration : -1.34382e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451538 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203886 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7273 +/- 0.003509 (0.004241%) b = -5.09721 +/- 3.094 (60.69%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:34:06 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1243922421e-02 0.00e+00 1.08e-04 1.859618e-04 8.327277e-04 9.050763e-02 2 2.1152071321e-02 -3.65e-03 1.08e-06 1.486415e-04 2.856820e-03 4.146993e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0211521 rel. change during last iteration : -3.64759e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011117 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23588e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000148641 +/- 1.009e-05 (6.786%) bb = 0.00285682 +/- 0.0007293 (25.53%) cc = 0.414699 +/- 0.03999 (9.642%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.023 1.000 cc -0.539 -0.008 1.000 ******************************************************************************* Sat Feb 22 18:34:07 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9714522457e+05 0.00e+00 5.85e+01 8.272730e+01 -5.097214e+00 2 3.4902771530e+03 -1.33e-02 5.85e-01 8.809744e+01 -5.101210e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.28 rel. change during last iteration : -1.32593e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203919 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.0974 +/- 0.003509 (0.003983%) b = -5.10121 +/- 3.094 (60.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:34:08 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1467587116e-02 0.00e+00 1.14e-04 1.486415e-04 2.856820e-03 4.146993e-01 2 2.1302852063e-02 -3.78e-05 1.14e-06 1.972695e-04 -1.249083e-05 3.674087e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213029 rel. change during last iteration : -3.7821e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111566 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24469e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000197269 +/- 1.093e-05 (5.54%) bb = -1.24908e-05 +/- 0.000622 (4979%) cc = 0.0367409 +/- 0.03631 (98.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.008 1.000 cc -0.625 0.041 1.000 ******************************************************************************* Sat Feb 22 18:34:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9372251947e+05 0.00e+00 6.23e+01 8.809744e+01 -5.101210e+00 2 3.4904759886e+03 -1.34e-02 6.23e-01 9.344892e+01 -5.105334e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.48 rel. change during last iteration : -1.34192e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451587 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203931 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4489 +/- 0.003509 (0.003755%) b = -5.10533 +/- 3.094 (60.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:34:10 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1282671330e-02 0.00e+00 1.14e-04 1.972695e-04 -1.249083e-05 3.674087e-02 4 2.1177801162e-02 -4.20e-05 1.14e-08 1.487213e-04 -2.522916e-03 3.598966e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0211778 rel. change during last iteration : -4.19517e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111238 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23738e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000148721 +/- 1.043e-05 (7.012%) bb = -0.00252292 +/- 0.0006842 (27.12%) cc = 0.359897 +/- 0.03901 (10.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.579 0.041 1.000 ******************************************************************************* Sat Feb 22 18:34:11 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9715270210e+05 0.00e+00 6.61e+01 9.344892e+01 -5.105334e+00 2 3.4902365319e+03 -1.30e-02 6.61e-01 9.881910e+01 -5.108510e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.24 rel. change during last iteration : -1.30234e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451571 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8191 +/- 0.003509 (0.003551%) b = -5.10851 +/- 3.094 (60.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:34:12 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1364697875e-02 0.00e+00 1.06e-04 1.487213e-04 -2.522916e-03 3.598966e-01 2 2.1292270923e-02 -9.37e-06 1.06e-06 1.903096e-04 -1.521660e-03 8.377787e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212923 rel. change during last iteration : -9.37457e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111538 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24407e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00019031 +/- 1.057e-05 (5.553%) bb = -0.00152166 +/- 0.000655 (43.05%) cc = 0.0837779 +/- 0.03685 (43.99%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.004 1.000 cc -0.591 -0.029 1.000 ******************************************************************************* Sat Feb 22 18:34:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9383665554e+05 0.00e+00 6.99e+01 9.881910e+01 -5.108510e+00 2 3.4942389589e+03 -1.20e-02 6.99e-01 1.041712e+02 -5.109169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3494.24 rel. change during last iteration : -1.20179e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.45183 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20415 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.171 +/- 0.003511 (0.00337%) b = -5.10917 +/- 3.096 (60.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:34:14 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1294841025e-02 0.00e+00 1.11e-04 1.903096e-04 -1.521660e-03 8.377787e-02 2 2.1249091805e-02 -7.75e-04 1.11e-06 1.641307e-04 1.404907e-03 2.356457e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212491 rel. change during last iteration : -7.75056e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111425 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24155e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000164131 +/- 1.075e-05 (6.552%) bb = 0.00140491 +/- 0.0006535 (46.52%) cc = 0.235646 +/- 0.03862 (16.39%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.022 1.000 cc -0.611 -0.036 1.000 ******************************************************************************* Sat Feb 22 18:34:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 12806 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.7144933498e+05 0.00e+00 7.37e+01 1.041712e+02 -5.109169e+00 2 2.6432078954e+03 -1.32e-01 7.37e-01 1.095377e+02 -5.082350e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2643.21 rel. change during last iteration : -1.32315e-06 degrees of freedom (FIT_NDF) : 12804 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.454352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.206436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.538 +/- 0.005184 (0.004733%) b = -5.08235 +/- 4.838 (95.19%) correlation matrix of the fit parameters: a b a 1.000 b -0.633 1.000 ******************************************************************************* Sat Feb 22 18:34:15 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 12806 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 1.1817348203e-02 0.00e+00 1.03e-04 1.641307e-04 1.404907e-03 2.356457e-01 2 8.7485328526e-03 -4.35e-04 1.03e-06 7.278449e-04 2.145993e-03 -2.920497e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.00874853 rel. change during last iteration : -4.34929e-09 degrees of freedom (FIT_NDF) : 12803 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000826631 variance of residuals (reduced chisquare) = WSSR/ndf : 6.83319e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000727845 +/- 9.025e-06 (1.24%) bb = 0.00214599 +/- 0.0005578 (25.99%) cc = -0.29205 +/- 0.0309 (10.58%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.009 1.000 cc -0.587 0.012 1.000 ******************************************************************************* Sat Feb 22 18:35:25 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 18:35:27 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 1.7103527502e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 2.1261425704e-02 -2.13e-01 5.77e-06 2.070214e-04 -2.660516e-03 -2.086778e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0212614 rel. change during last iteration : -2.12759e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111457 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24227e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000207021 +/- 1.16e-05 (5.603%) bb = -0.00266052 +/- 0.002591 (97.38%) cc = -0.208678 +/- 0.7184 (344.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 18:35:29 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613494e+05 0.00e+00 1.60e+00 2.269416e+00 -3.339508e+00 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6422e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -5.16933 +/- 3.093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:35:30 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1391687035e-02 0.00e+00 1.30e-04 2.070214e-04 -2.660516e-03 -2.086778e-01 2 2.1308656319e-02 -8.06e-05 1.30e-06 2.036704e-04 -4.342421e-04 -5.528872e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213087 rel. change during last iteration : -8.06294e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111581 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24503e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00020367 +/- 1.1e-05 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -0.00552887 +/- 0.03081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 18:35:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e+00 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88395e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -5.4412 +/- 3.096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:35:32 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1324561745e-02 0.00e+00 1.18e-04 2.036704e-04 -4.342421e-04 -5.528872e-03 3 2.1026437525e-02 -2.36e-02 1.18e-07 1.452617e-04 7.342969e-03 7.360989e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0210264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110839 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22854e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000145262 +/- 1.024e-05 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.736099 +/- 0.04917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 18:35:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e+00 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -5.14063 +/- 3.097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:35:34 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.2302749789e-02 0.00e+00 1.94e-04 1.452617e-04 7.342969e-03 7.360989e-01 2 2.1304400889e-02 -5.34e-05 1.94e-06 1.999514e-04 6.307196e-04 1.793797e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011157 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24478e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000199951 +/- 1.162e-05 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.017938 +/- 0.03099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 18:35:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e+00 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -5.27316 +/- 3.098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:37 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1290140795e-02 0.00e+00 1.16e-04 1.999514e-04 6.307196e-04 1.793797e-02 3 2.1161198441e-02 -1.46e-06 1.16e-07 1.548960e-04 8.383212e-04 4.763583e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0211612 rel. change during last iteration : -1.46051e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111194 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23641e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000154896 +/- 9.726e-06 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.476358 +/- 0.04661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 18:35:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e+00 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23072e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -5.17496 +/- 3.098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:39 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1689028344e-02 0.00e+00 1.34e-04 1.548960e-04 8.383212e-04 4.763583e-01 2 2.1294847326e-02 -3.05e-03 1.34e-06 2.120513e-04 -1.020705e-03 -4.126603e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111545 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24422e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000212051 +/- 1.1e-05 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.041266 +/- 0.03154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 18:35:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9702646603e+05 0.00e+00 2.06e+01 2.911969e+01 -5.174959e+00 2 3.4907728821e+03 -1.61e-02 2.06e-01 3.448918e+01 -5.195593e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.77 rel. change during last iteration : -1.61049e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451606 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34.4892 +/- 0.003509 (0.01017%) b = -5.19559 +/- 3.094 (59.54%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:41 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1309220552e-02 0.00e+00 1.23e-04 2.120513e-04 -1.020705e-03 -4.126603e-02 2 2.1306978189e-02 -6.15e-04 1.23e-06 2.029953e-04 -7.719009e-04 1.608866e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.021307 rel. change during last iteration : -6.15055e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111576 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24493e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000202995 +/- 1.09e-05 (5.369%) bb = -0.000771901 +/- 0.000596 (77.21%) cc = 0.00160887 +/- 0.0322 (2001%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.061 1.000 cc -0.620 0.190 1.000 ******************************************************************************* Sat Feb 22 18:35:42 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9386669756e+05 0.00e+00 2.44e+01 3.448918e+01 -5.195593e+00 2 3.4983444443e+03 -3.90e-02 2.44e-01 3.984140e+01 -5.149849e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.34 rel. change during last iteration : -3.89636e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452095 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20439 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39.8414 +/- 0.003513 (0.008817%) b = -5.14985 +/- 3.097 (60.15%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:43 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1301291617e-02 0.00e+00 1.17e-04 2.029953e-04 -7.719009e-04 1.608866e-03 3 2.1287480117e-02 -1.36e-01 1.17e-07 1.846080e-04 -7.739043e-04 1.229317e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0212875 rel. change during last iteration : -1.35753e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111525 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24379e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000184608 +/- 1.026e-05 (5.558%) bb = -0.000773904 +/- 0.0006827 (88.22%) cc = 0.122932 +/- 0.0365 (29.7%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.015 1.000 cc -0.556 0.068 1.000 ******************************************************************************* Sat Feb 22 18:35:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9716587310e+05 0.00e+00 2.82e+01 3.984140e+01 -5.149849e+00 2 3.4966666321e+03 -2.61e-02 2.82e-01 4.521160e+01 -5.121395e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3496.67 rel. change during last iteration : -2.60759e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204292 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45.2116 +/- 0.003512 (0.007768%) b = -5.12139 +/- 3.097 (60.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:46 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1232699036e-02 0.00e+00 1.08e-04 1.846080e-04 -7.739043e-04 1.229317e-01 2 2.1138907899e-02 -7.58e-04 1.08e-06 1.423256e-04 -4.798260e-04 5.103408e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0211389 rel. change during last iteration : -7.57931e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111136 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23511e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000142326 +/- 1.009e-05 (7.089%) bb = -0.000479826 +/- 0.00077 (160.5%) cc = 0.510341 +/- 0.0446 (8.74%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.030 1.000 cc -0.539 -0.000 1.000 ******************************************************************************* Sat Feb 22 18:35:47 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9371481846e+05 0.00e+00 3.20e+01 4.521160e+01 -5.121395e+00 2 3.4986800355e+03 -2.17e-02 3.20e-01 5.056300e+01 -5.100567e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.68 rel. change during last iteration : -2.16613e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452117 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20441 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50.563 +/- 0.003513 (0.006948%) b = -5.10057 +/- 3.097 (60.73%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:48 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1511890398e-02 0.00e+00 1.26e-04 1.423256e-04 -4.798260e-04 5.103408e-01 2 2.1297551762e-02 -3.36e-03 1.26e-06 1.854155e-04 2.705689e-04 8.759919e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212976 rel. change during last iteration : -3.36167e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111552 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24438e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000185415 +/- 1.134e-05 (6.119%) bb = 0.000270569 +/- 0.0005888 (217.6%) cc = 0.0875992 +/- 0.03538 (40.39%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.045 1.000 cc -0.659 -0.105 1.000 ******************************************************************************* Sat Feb 22 18:35:49 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9703138782e+05 0.00e+00 3.58e+01 5.056300e+01 -5.100567e+00 2 3.4910838867e+03 -1.41e-02 3.58e-01 5.593251e+01 -5.109122e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3491.08 rel. change during last iteration : -1.41279e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451626 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55.9325 +/- 0.003509 (0.006274%) b = -5.10912 +/- 3.094 (60.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:50 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1264671376e-02 0.00e+00 1.08e-04 1.854155e-04 2.705689e-04 8.759919e-02 2 2.1212878406e-02 -8.88e-02 1.08e-06 1.586044e-04 1.672017e-03 3.374173e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212129 rel. change during last iteration : -8.87549e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011133 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23943e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000158604 +/- 1.016e-05 (6.406%) bb = 0.00167202 +/- 0.0007288 (43.59%) cc = 0.337417 +/- 0.0407 (12.06%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.012 1.000 cc -0.546 0.011 1.000 ******************************************************************************* Sat Feb 22 18:35:52 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9385854341e+05 0.00e+00 3.96e+01 5.593251e+01 -5.109122e+00 2 3.4971488681e+03 -2.04e-02 3.96e-01 6.128470e+01 -5.093406e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.15 rel. change during last iteration : -2.0392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452018 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20432 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61.2847 +/- 0.003512 (0.005731%) b = -5.09341 +/- 3.097 (60.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:53 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1291068429e-02 0.00e+00 1.06e-04 1.586044e-04 1.672017e-03 3.374173e-01 2 2.1271698912e-02 -2.75e-05 1.06e-06 1.739109e-04 7.317150e-04 1.937037e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212717 rel. change during last iteration : -2.74799e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111484 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24287e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000173911 +/- 1.051e-05 (6.044%) bb = 0.000731715 +/- 0.0006785 (92.72%) cc = 0.193704 +/- 0.03879 (20.02%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.003 1.000 cc -0.584 0.080 1.000 ******************************************************************************* Sat Feb 22 18:35:54 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9716994626e+05 0.00e+00 4.33e+01 6.128470e+01 -5.093406e+00 2 3.4970412999e+03 -1.69e-02 4.33e-01 6.665493e+01 -5.082484e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.04 rel. change during last iteration : -1.69458e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452011 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204314 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66.6549 +/- 0.003512 (0.005269%) b = -5.08248 +/- 3.097 (60.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:55 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1276288800e-02 0.00e+00 1.06e-04 1.739109e-04 7.317150e-04 1.937037e-01 2 2.1263055696e-02 -2.65e-03 1.06e-06 1.685071e-04 -1.286053e-03 1.932295e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212631 rel. change during last iteration : -2.64926e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111461 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24236e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000168507 +/- 1.084e-05 (6.435%) bb = -0.00128605 +/- 0.0006301 (48.99%) cc = 0.193229 +/- 0.0366 (18.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.026 1.000 cc -0.619 0.058 1.000 ******************************************************************************* Sat Feb 22 18:35:56 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9357726445e+05 0.00e+00 4.71e+01 6.665493e+01 -5.082484e+00 2 3.4917280377e+03 -1.30e-02 4.71e-01 7.200562e+01 -5.086998e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3491.73 rel. change during last iteration : -1.29723e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451668 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72.0056 +/- 0.00351 (0.004874%) b = -5.087 +/- 3.094 (60.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:57 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1232054222e-02 0.00e+00 1.01e-04 1.685071e-04 -1.286053e-03 1.932295e-01 2 2.1214955921e-02 -9.78e-05 1.01e-06 1.629585e-04 -2.325386e-03 3.243329e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.021215 rel. change during last iteration : -9.78454e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111335 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23955e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000162958 +/- 1.003e-05 (6.155%) bb = -0.00232539 +/- 0.0007455 (32.06%) cc = 0.324333 +/- 0.04065 (12.53%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.018 1.000 cc -0.528 -0.029 1.000 ******************************************************************************* Sat Feb 22 18:35:58 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9715940146e+05 0.00e+00 5.09e+01 7.200562e+01 -5.086998e+00 2 3.4905403353e+03 -1.38e-02 5.09e-01 7.737583e+01 -5.092504e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.54 rel. change during last iteration : -1.37927e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451591 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203934 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77.3758 +/- 0.003509 (0.004535%) b = -5.0925 +/- 3.094 (60.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:35:59 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1381609415e-02 0.00e+00 1.12e-04 1.629585e-04 -2.325386e-03 3.243329e-01 2 2.1292369605e-02 -8.12e-05 1.12e-06 1.859618e-04 8.327277e-04 9.050763e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212924 rel. change during last iteration : -8.11634e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111538 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24408e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000185962 +/- 1.115e-05 (5.997%) bb = 0.000832728 +/- 0.0006062 (72.79%) cc = 0.0905076 +/- 0.03622 (40.02%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.027 1.000 cc -0.644 -0.065 1.000 ******************************************************************************* Sat Feb 22 18:36:00 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9371891981e+05 0.00e+00 5.47e+01 7.737583e+01 -5.092504e+00 2 3.4897202881e+03 -1.34e-02 5.47e-01 8.272730e+01 -5.097214e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3489.72 rel. change during last iteration : -1.34382e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451538 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203886 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82.7273 +/- 0.003509 (0.004241%) b = -5.09721 +/- 3.094 (60.69%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:36:02 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1243922421e-02 0.00e+00 1.08e-04 1.859618e-04 8.327277e-04 9.050763e-02 2 2.1152071321e-02 -3.65e-03 1.08e-06 1.486415e-04 2.856820e-03 4.146993e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0211521 rel. change during last iteration : -3.64759e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011117 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23588e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000148641 +/- 1.009e-05 (6.786%) bb = 0.00285682 +/- 0.0007293 (25.53%) cc = 0.414699 +/- 0.03999 (9.642%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.023 1.000 cc -0.539 -0.008 1.000 ******************************************************************************* Sat Feb 22 18:36:03 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9714522457e+05 0.00e+00 5.85e+01 8.272730e+01 -5.097214e+00 2 3.4902771530e+03 -1.33e-02 5.85e-01 8.809744e+01 -5.101210e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.28 rel. change during last iteration : -1.32593e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451574 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203919 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88.0974 +/- 0.003509 (0.003983%) b = -5.10121 +/- 3.094 (60.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:36:04 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1467587116e-02 0.00e+00 1.14e-04 1.486415e-04 2.856820e-03 4.146993e-01 2 2.1302852063e-02 -3.78e-05 1.14e-06 1.972695e-04 -1.249083e-05 3.674087e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213029 rel. change during last iteration : -3.7821e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111566 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24469e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000197269 +/- 1.093e-05 (5.54%) bb = -1.24908e-05 +/- 0.000622 (4979%) cc = 0.0367409 +/- 0.03631 (98.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.008 1.000 cc -0.625 0.041 1.000 ******************************************************************************* Sat Feb 22 18:36:05 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9372251947e+05 0.00e+00 6.23e+01 8.809744e+01 -5.101210e+00 2 3.4904759886e+03 -1.34e-02 6.23e-01 9.344892e+01 -5.105334e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.48 rel. change during last iteration : -1.34192e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451587 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203931 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93.4489 +/- 0.003509 (0.003755%) b = -5.10533 +/- 3.094 (60.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:36:06 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1282671330e-02 0.00e+00 1.14e-04 1.972695e-04 -1.249083e-05 3.674087e-02 4 2.1177801162e-02 -4.20e-05 1.14e-08 1.487213e-04 -2.522916e-03 3.598966e-01 After 4 iterations the fit converged. final sum of squares of residuals : 0.0211778 rel. change during last iteration : -4.19517e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111238 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23738e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000148721 +/- 1.043e-05 (7.012%) bb = -0.00252292 +/- 0.0006842 (27.12%) cc = 0.359897 +/- 0.03901 (10.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.579 0.041 1.000 ******************************************************************************* Sat Feb 22 18:36:08 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9715270210e+05 0.00e+00 6.61e+01 9.344892e+01 -5.105334e+00 2 3.4902365319e+03 -1.30e-02 6.61e-01 9.881910e+01 -5.108510e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3490.24 rel. change during last iteration : -1.30234e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451571 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98.8191 +/- 0.003509 (0.003551%) b = -5.10851 +/- 3.094 (60.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:36:09 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1364697875e-02 0.00e+00 1.06e-04 1.487213e-04 -2.522916e-03 3.598966e-01 2 2.1292270923e-02 -9.37e-06 1.06e-06 1.903096e-04 -1.521660e-03 8.377787e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212923 rel. change during last iteration : -9.37457e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111538 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24407e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00019031 +/- 1.057e-05 (5.553%) bb = -0.00152166 +/- 0.000655 (43.05%) cc = 0.0837779 +/- 0.03685 (43.99%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.004 1.000 cc -0.591 -0.029 1.000 ******************************************************************************* Sat Feb 22 18:36:10 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9383665554e+05 0.00e+00 6.99e+01 9.881910e+01 -5.108510e+00 2 3.4942389589e+03 -1.20e-02 6.99e-01 1.041712e+02 -5.109169e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3494.24 rel. change during last iteration : -1.20179e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.45183 variance of residuals (reduced chisquare) = WSSR/ndf : 0.20415 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104.171 +/- 0.003511 (0.00337%) b = -5.10917 +/- 3.096 (60.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:36:11 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1294841025e-02 0.00e+00 1.11e-04 1.903096e-04 -1.521660e-03 8.377787e-02 2 2.1249091805e-02 -7.75e-04 1.11e-06 1.641307e-04 1.404907e-03 2.356457e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212491 rel. change during last iteration : -7.75056e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111425 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24155e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000164131 +/- 1.075e-05 (6.552%) bb = 0.00140491 +/- 0.0006535 (46.52%) cc = 0.235646 +/- 0.03862 (16.39%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.022 1.000 cc -0.611 -0.036 1.000 ******************************************************************************* Sat Feb 22 18:36:12 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 12806 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.7144933498e+05 0.00e+00 7.37e+01 1.041712e+02 -5.109169e+00 2 2.6432078954e+03 -1.32e-01 7.37e-01 1.095377e+02 -5.082350e+00 After 2 iterations the fit converged. final sum of squares of residuals : 2643.21 rel. change during last iteration : -1.32315e-06 degrees of freedom (FIT_NDF) : 12804 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.454352 variance of residuals (reduced chisquare) = WSSR/ndf : 0.206436 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 109.538 +/- 0.005184 (0.004733%) b = -5.08235 +/- 4.838 (95.19%) correlation matrix of the fit parameters: a b a 1.000 b -0.633 1.000 ******************************************************************************* Sat Feb 22 18:36:13 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 12806 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 1.1817348203e-02 0.00e+00 1.03e-04 1.641307e-04 1.404907e-03 2.356457e-01 2 8.7485328526e-03 -4.35e-04 1.03e-06 7.278449e-04 2.145993e-03 -2.920497e-01 After 2 iterations the fit converged. final sum of squares of residuals : 0.00874853 rel. change during last iteration : -4.34929e-09 degrees of freedom (FIT_NDF) : 12803 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000826631 variance of residuals (reduced chisquare) = WSSR/ndf : 6.83319e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000727845 +/- 9.025e-06 (1.24%) bb = 0.00214599 +/- 0.0005578 (25.99%) cc = -0.29205 +/- 0.0309 (10.58%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.009 1.000 cc -0.587 0.012 1.000 ******************************************************************************* Sat Feb 22 18:45:09 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 18:45:10 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 1.7103527502e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 2.1261425704e-02 -2.13e-01 5.77e-06 2.070214e-04 -2.660516e-03 -2.086778e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0212614 rel. change during last iteration : -2.12759e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111457 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24227e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000207021 +/- 1.16e-05 (5.603%) bb = -0.00266052 +/- 0.002591 (97.38%) cc = -0.208678 +/- 0.7184 (344.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 18:45:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613494e+05 0.00e+00 1.60e+00 2.269416e+00 -3.339508e+00 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6422e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -5.16933 +/- 3.093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:45:14 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1391687035e-02 0.00e+00 1.30e-04 2.070214e-04 -2.660516e-03 -2.086778e-01 2 2.1308656319e-02 -8.06e-05 1.30e-06 2.036704e-04 -4.342421e-04 -5.528872e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213087 rel. change during last iteration : -8.06294e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111581 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24503e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00020367 +/- 1.1e-05 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -0.00552887 +/- 0.03081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 18:45:15 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e+00 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88395e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -5.4412 +/- 3.096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:45:16 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1324561745e-02 0.00e+00 1.18e-04 2.036704e-04 -4.342421e-04 -5.528872e-03 3 2.1026437525e-02 -2.36e-02 1.18e-07 1.452617e-04 7.342969e-03 7.360989e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0210264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110839 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22854e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000145262 +/- 1.024e-05 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.736099 +/- 0.04917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 18:45:17 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e+00 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -5.14063 +/- 3.097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:45:18 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.2302749789e-02 0.00e+00 1.94e-04 1.452617e-04 7.342969e-03 7.360989e-01 2 2.1304400889e-02 -5.34e-05 1.94e-06 1.999514e-04 6.307196e-04 1.793797e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011157 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24478e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000199951 +/- 1.162e-05 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.017938 +/- 0.03099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 18:45:20 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e+00 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -5.27316 +/- 3.098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:45:21 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1290140795e-02 0.00e+00 1.16e-04 1.999514e-04 6.307196e-04 1.793797e-02 3 2.1161198441e-02 -1.46e-06 1.16e-07 1.548960e-04 8.383212e-04 4.763583e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0211612 rel. change during last iteration : -1.46051e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111194 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23641e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000154896 +/- 9.726e-06 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.476358 +/- 0.04661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 18:45:22 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e+00 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23072e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -5.17496 +/- 3.098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:45:23 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1689028344e-02 0.00e+00 1.34e-04 1.548960e-04 8.383212e-04 4.763583e-01 2 2.1294847326e-02 -3.05e-03 1.34e-06 2.120513e-04 -1.020705e-03 -4.126603e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111545 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24422e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000212051 +/- 1.1e-05 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.041266 +/- 0.03154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 18:46:13 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 18:46:14 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 1.7103527502e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 2.1261425704e-02 -2.13e-01 5.77e-06 2.070214e-04 -2.660516e-03 -2.086778e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0212614 rel. change during last iteration : -2.12759e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111457 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24227e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000207021 +/- 1.16e-05 (5.603%) bb = -0.00266052 +/- 0.002591 (97.38%) cc = -0.208678 +/- 0.7184 (344.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 18:46:16 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613494e+05 0.00e+00 1.60e+00 2.269416e+00 -3.339508e+00 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6422e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -5.16933 +/- 3.093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:46:17 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1391687035e-02 0.00e+00 1.30e-04 2.070214e-04 -2.660516e-03 -2.086778e-01 2 2.1308656319e-02 -8.06e-05 1.30e-06 2.036704e-04 -4.342421e-04 -5.528872e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213087 rel. change during last iteration : -8.06294e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111581 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24503e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00020367 +/- 1.1e-05 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -0.00552887 +/- 0.03081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 18:46:19 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e+00 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88395e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -5.4412 +/- 3.096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:46:20 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1324561745e-02 0.00e+00 1.18e-04 2.036704e-04 -4.342421e-04 -5.528872e-03 3 2.1026437525e-02 -2.36e-02 1.18e-07 1.452617e-04 7.342969e-03 7.360989e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0210264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110839 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22854e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000145262 +/- 1.024e-05 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.736099 +/- 0.04917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 18:46:21 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e+00 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -5.14063 +/- 3.097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:46:22 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.2302749789e-02 0.00e+00 1.94e-04 1.452617e-04 7.342969e-03 7.360989e-01 2 2.1304400889e-02 -5.34e-05 1.94e-06 1.999514e-04 6.307196e-04 1.793797e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011157 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24478e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000199951 +/- 1.162e-05 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.017938 +/- 0.03099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 18:46:24 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e+00 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -5.27316 +/- 3.098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:46:24 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1290140795e-02 0.00e+00 1.16e-04 1.999514e-04 6.307196e-04 1.793797e-02 3 2.1161198441e-02 -1.46e-06 1.16e-07 1.548960e-04 8.383212e-04 4.763583e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0211612 rel. change during last iteration : -1.46051e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111194 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23641e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000154896 +/- 9.726e-06 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.476358 +/- 0.04661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 18:46:26 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e+00 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23072e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -5.17496 +/- 3.098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:46:27 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1689028344e-02 0.00e+00 1.34e-04 1.548960e-04 8.383212e-04 4.763583e-01 2 2.1294847326e-02 -3.05e-03 1.34e-06 2.120513e-04 -1.020705e-03 -4.126603e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111545 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24422e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000212051 +/- 1.1e-05 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.041266 +/- 0.03154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 18:51:27 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 18:51:29 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 1.7103527502e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 2.1261425704e-02 -2.13e-01 5.77e-06 2.070214e-04 -2.660516e-03 -2.086778e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0212614 rel. change during last iteration : -2.12759e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111457 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24227e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000207021 +/- 1.16e-05 (5.603%) bb = -0.00266052 +/- 0.002591 (97.38%) cc = -0.208678 +/- 0.7184 (344.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 18:51:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613494e+05 0.00e+00 1.60e+00 2.269416e+00 -3.339508e+00 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6422e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -5.16933 +/- 3.093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:51:32 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1391687035e-02 0.00e+00 1.30e-04 2.070214e-04 -2.660516e-03 -2.086778e-01 2 2.1308656319e-02 -8.06e-05 1.30e-06 2.036704e-04 -4.342421e-04 -5.528872e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213087 rel. change during last iteration : -8.06294e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111581 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24503e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00020367 +/- 1.1e-05 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -0.00552887 +/- 0.03081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 18:51:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e+00 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88395e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -5.4412 +/- 3.096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:51:34 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1324561745e-02 0.00e+00 1.18e-04 2.036704e-04 -4.342421e-04 -5.528872e-03 3 2.1026437525e-02 -2.36e-02 1.18e-07 1.452617e-04 7.342969e-03 7.360989e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0210264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110839 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22854e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000145262 +/- 1.024e-05 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.736099 +/- 0.04917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 18:51:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e+00 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -5.14063 +/- 3.097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:51:36 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.2302749789e-02 0.00e+00 1.94e-04 1.452617e-04 7.342969e-03 7.360989e-01 2 2.1304400889e-02 -5.34e-05 1.94e-06 1.999514e-04 6.307196e-04 1.793797e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011157 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24478e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000199951 +/- 1.162e-05 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.017938 +/- 0.03099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 18:51:38 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e+00 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -5.27316 +/- 3.098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:51:39 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1290140795e-02 0.00e+00 1.16e-04 1.999514e-04 6.307196e-04 1.793797e-02 3 2.1161198441e-02 -1.46e-06 1.16e-07 1.548960e-04 8.383212e-04 4.763583e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0211612 rel. change during last iteration : -1.46051e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111194 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23641e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000154896 +/- 9.726e-06 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.476358 +/- 0.04661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 18:51:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e+00 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23072e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -5.17496 +/- 3.098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:51:41 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1689028344e-02 0.00e+00 1.34e-04 1.548960e-04 8.383212e-04 4.763583e-01 2 2.1294847326e-02 -3.05e-03 1.34e-06 2.120513e-04 -1.020705e-03 -4.126603e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111545 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24422e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000212051 +/- 1.1e-05 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.041266 +/- 0.03154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 18:55:23 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 18:55:24 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 1.7103527502e+04 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 2.1261425704e-02 -2.13e-01 5.77e-06 2.070214e-04 -2.660516e-03 -2.086778e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0212614 rel. change during last iteration : -2.12759e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111457 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24227e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000207021 +/- 1.16e-05 (5.603%) bb = -0.00266052 +/- 0.002591 (97.38%) cc = -0.208678 +/- 0.7184 (344.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 18:55:26 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613494e+05 0.00e+00 1.60e+00 2.269416e+00 -3.339508e+00 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6422e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -5.16933 +/- 3.093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:55:27 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1391687035e-02 0.00e+00 1.30e-04 2.070214e-04 -2.660516e-03 -2.086778e-01 2 2.1308656319e-02 -8.06e-05 1.30e-06 2.036704e-04 -4.342421e-04 -5.528872e-03 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213087 rel. change during last iteration : -8.06294e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111581 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24503e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00020367 +/- 1.1e-05 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -0.00552887 +/- 0.03081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 18:55:28 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e+00 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88395e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -5.4412 +/- 3.096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:55:29 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1324561745e-02 0.00e+00 1.18e-04 2.036704e-04 -4.342421e-04 -5.528872e-03 3 2.1026437525e-02 -2.36e-02 1.18e-07 1.452617e-04 7.342969e-03 7.360989e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0210264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00110839 variance of residuals (reduced chisquare) = WSSR/ndf : 1.22854e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000145262 +/- 1.024e-05 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.736099 +/- 0.04917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 18:55:31 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e+00 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -5.14063 +/- 3.097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:55:32 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.2302749789e-02 0.00e+00 1.94e-04 1.452617e-04 7.342969e-03 7.360989e-01 2 2.1304400889e-02 -5.34e-05 1.94e-06 1.999514e-04 6.307196e-04 1.793797e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0213044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011157 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24478e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000199951 +/- 1.162e-05 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.017938 +/- 0.03099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 18:55:33 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e+00 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -5.27316 +/- 3.098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:55:34 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1290140795e-02 0.00e+00 1.16e-04 1.999514e-04 6.307196e-04 1.793797e-02 3 2.1161198441e-02 -1.46e-06 1.16e-07 1.548960e-04 8.383212e-04 4.763583e-01 After 3 iterations the fit converged. final sum of squares of residuals : 0.0211612 rel. change during last iteration : -1.46051e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111194 variance of residuals (reduced chisquare) = WSSR/ndf : 1.23641e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000154896 +/- 9.726e-06 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.476358 +/- 0.04661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 18:55:35 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e+00 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23072e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -5.17496 +/- 3.098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:55:36 2025 FIT: data read from psfile[i] u 6:9 format = x:z #datapoints = 17118 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 2.1689028344e-02 0.00e+00 1.34e-04 1.548960e-04 8.383212e-04 4.763583e-01 2 2.1294847326e-02 -3.05e-03 1.34e-06 2.120513e-04 -1.020705e-03 -4.126603e-02 After 2 iterations the fit converged. final sum of squares of residuals : 0.0212948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00111545 variance of residuals (reduced chisquare) = WSSR/ndf : 1.24422e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.000212051 +/- 1.1e-05 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.041266 +/- 0.03154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 18:59:37 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.1007356185e+04 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 3 3.4614276539e+03 -3.86e-01 7.07e-04 2.269416e+00 -3.339508e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.86148e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -3.33951 +/- 3.084 (92.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 18:59:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1643668413e+04 0.00e+00 6.16e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.1261425704e+02 -2.88e-01 6.16e-03 2.070235e-02 -2.660599e-03 -2.088650e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.614 rel. change during last iteration : -2.8836e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111457 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124227 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0207023 +/- 0.00116 (5.603%) bb = -0.0026606 +/- 0.002591 (97.38%) cc = -0.00208865 +/- 0.007184 (343.9%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 18:59:40 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613494e+05 0.00e+00 1.60e+00 2.269416e+00 -3.339508e+00 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e+00 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6422e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -5.16933 +/- 3.093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:59:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1391835156e+02 0.00e+00 1.30e-02 2.070235e-02 -2.660599e-03 -2.088650e-03 2 2.1308656319e+02 -8.06e-05 1.30e-04 2.036704e-02 -4.342421e-04 -5.528872e-05 After 2 iterations the fit converged. final sum of squares of residuals : 213.087 rel. change during last iteration : -8.06093e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111581 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124503 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.020367 +/- 0.0011 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -5.52887e-05 +/- 0.0003081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 18:59:43 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e+00 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88395e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -5.4412 +/- 3.096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:59:44 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1324561745e+02 0.00e+00 1.18e-02 2.036704e-02 -4.342421e-04 -5.528872e-05 3 2.1026437525e+02 -2.36e-02 1.18e-05 1.452617e-02 7.342969e-03 7.360989e-03 After 3 iterations the fit converged. final sum of squares of residuals : 210.264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110839 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122854 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0145262 +/- 0.001024 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.00736099 +/- 0.0004917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 18:59:45 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e+00 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -5.14063 +/- 3.097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 18:59:46 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.2302749789e+02 0.00e+00 1.94e-02 1.452617e-02 7.342969e-03 7.360989e-03 2 2.1304400889e+02 -5.34e-05 1.94e-04 1.999514e-02 6.307196e-04 1.793797e-04 After 2 iterations the fit converged. final sum of squares of residuals : 213.044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11157 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124478 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0199951 +/- 0.001162 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.00017938 +/- 0.0003099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 18:59:48 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e+00 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -5.27316 +/- 3.098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:59:49 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1290140795e+02 0.00e+00 1.16e-02 1.999514e-02 6.307196e-04 1.793797e-04 3 2.1161198441e+02 -1.46e-06 1.16e-05 1.548960e-02 8.383212e-04 4.763583e-03 After 3 iterations the fit converged. final sum of squares of residuals : 211.612 rel. change during last iteration : -1.46052e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123641 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0154896 +/- 0.0009726 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.00476358 +/- 0.0004661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 18:59:51 2025 FIT: data read from psfile[i] u 9:(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e+00 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e+00 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23072e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -5.17496 +/- 3.098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 18:59:52 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1689028344e+02 0.00e+00 1.34e-02 1.548960e-02 8.383212e-04 4.763583e-03 2 2.1294847326e+02 -3.05e-03 1.34e-04 2.120513e-02 -1.020705e-03 -4.126603e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124422 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0212051 +/- 0.0011 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.00041266 +/- 0.0003154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 19:03:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.0358230529e+04 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 3.4614276538e+03 -3.96e-02 7.12e-03 2.269416e+00 -3.341362e-02 After 2 iterations the fit converged. final sum of squares of residuals : 3461.43 rel. change during last iteration : -3.96258e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.449704 variance of residuals (reduced chisquare) = WSSR/ndf : 0.202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26942 +/- 0.003495 (0.154%) b = -0.0334136 +/- 0.03084 (92.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 19:03:48 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1643668413e+04 0.00e+00 6.16e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.1261425704e+02 -2.88e-01 6.16e-03 2.070235e-02 -2.660599e-03 -2.088650e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.614 rel. change during last iteration : -2.8836e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111457 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124227 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0207023 +/- 0.00116 (5.603%) bb = -0.0026606 +/- 0.002591 (97.38%) cc = -0.00208865 +/- 0.007184 (343.9%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 19:03:49 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613419e+05 0.00e+00 1.60e+00 2.269416e+00 -3.341362e-02 3 3.4903507348e+03 -1.64e-02 1.60e-03 7.675761e+00 -5.169328e-02 After 3 iterations the fit converged. final sum of squares of residuals : 3490.35 rel. change during last iteration : -1.6353e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.451579 variance of residuals (reduced chisquare) = WSSR/ndf : 0.203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7.67576 +/- 0.003508 (0.04571%) b = -0.0516933 +/- 0.03093 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:03:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1391835156e+02 0.00e+00 1.30e-02 2.070235e-02 -2.660599e-03 -2.088650e-03 2 2.1308656319e+02 -8.06e-05 1.30e-04 2.036704e-02 -4.342421e-04 -5.528872e-05 After 2 iterations the fit converged. final sum of squares of residuals : 213.087 rel. change during last iteration : -8.06093e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111581 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124503 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.020367 +/- 0.0011 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -5.52887e-05 +/- 0.0003081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 19:03:52 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+05 0.00e+00 5.43e+00 7.675761e+00 -5.169328e-02 2 3.4980610849e+03 -9.88e-02 5.43e-02 1.304709e+01 -5.441197e-02 After 2 iterations the fit converged. final sum of squares of residuals : 3498.06 rel. change during last iteration : -9.88392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452077 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13.0471 +/- 0.003512 (0.02692%) b = -0.054412 +/- 0.03096 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:03:53 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1324561745e+02 0.00e+00 1.18e-02 2.036704e-02 -4.342421e-04 -5.528872e-05 3 2.1026437525e+02 -2.36e-02 1.18e-05 1.452617e-02 7.342969e-03 7.360989e-03 After 3 iterations the fit converged. final sum of squares of residuals : 210.264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110839 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122854 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0145262 +/- 0.001024 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.00736099 +/- 0.0004917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 19:03:55 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+05 0.00e+00 9.23e+00 1.304709e+01 -5.441197e-02 2 3.4977302338e+03 -2.08e-01 9.23e-02 1.839802e+01 -5.140628e-02 After 2 iterations the fit converged. final sum of squares of residuals : 3497.73 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452056 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18.398 +/- 0.003512 (0.01909%) b = -0.0514063 +/- 0.03097 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:03:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.2302749789e+02 0.00e+00 1.94e-02 1.452617e-02 7.342969e-03 7.360989e-03 2 2.1304400889e+02 -5.34e-05 1.94e-04 1.999514e-02 6.307196e-04 1.793797e-04 After 2 iterations the fit converged. final sum of squares of residuals : 213.044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11157 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124478 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0199951 +/- 0.001162 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.00017938 +/- 0.0003099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 19:03:58 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+05 0.00e+00 1.30e+01 1.839802e+01 -5.140628e-02 2 3.4985497999e+03 -8.52e-02 1.30e-01 2.376859e+01 -5.273164e-02 After 2 iterations the fit converged. final sum of squares of residuals : 3498.55 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452109 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23.7686 +/- 0.003513 (0.01478%) b = -0.0527316 +/- 0.03098 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:03:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1290140795e+02 0.00e+00 1.16e-02 1.999514e-02 6.307196e-04 1.793797e-04 3 2.1161198441e+02 -1.46e-06 1.16e-05 1.548960e-02 8.383212e-04 4.763583e-03 After 3 iterations the fit converged. final sum of squares of residuals : 211.612 rel. change during last iteration : -1.46052e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123641 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0154896 +/- 0.0009726 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.00476358 +/- 0.0004661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 19:04:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?$15:1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+05 0.00e+00 1.68e+01 2.376859e+01 -5.273164e-02 2 3.4979736144e+03 -7.23e-02 1.68e-01 2.911969e+01 -5.174959e-02 After 2 iterations the fit converged. final sum of squares of residuals : 3497.97 rel. change during last iteration : -7.23073e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.452071 variance of residuals (reduced chisquare) = WSSR/ndf : 0.204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29.1197 +/- 0.003513 (0.01206%) b = -0.0517496 +/- 0.03098 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:04:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1689028344e+02 0.00e+00 1.34e-02 1.548960e-02 8.383212e-04 4.763583e-03 2 2.1294847326e+02 -3.05e-03 1.34e-04 2.120513e-02 -1.020705e-03 -4.126603e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124422 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0212051 +/- 0.0011 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.00041266 +/- 0.0003154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 19:10:58 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.1491129289e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 3.4614276538e+09 -2.45e-03 7.12e-03 2.269416e+03 -3.341368e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.46143e+09 rel. change during last iteration : -2.45457e-08 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 449.704 variance of residuals (reduced chisquare) = WSSR/ndf : 202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2269.42 +/- 3.495 (0.154%) b = -33.4137 +/- 30.84 (92.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 19:10:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1643668413e+04 0.00e+00 6.16e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.1261425704e+02 -2.88e-01 6.16e-03 2.070235e-02 -2.660599e-03 -2.088650e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.614 rel. change during last iteration : -2.8836e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111457 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124227 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0207023 +/- 0.00116 (5.603%) bb = -0.0026606 +/- 0.002591 (97.38%) cc = -0.00208865 +/- 0.007184 (343.9%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 19:11:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613418e+11 0.00e+00 1.60e+03 2.269416e+03 -3.341368e+01 3 3.4903507348e+09 -1.64e-02 1.60e+00 7.675761e+03 -5.169328e+01 After 3 iterations the fit converged. final sum of squares of residuals : 3.49035e+09 rel. change during last iteration : -1.63528e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.579 variance of residuals (reduced chisquare) = WSSR/ndf : 203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7675.76 +/- 3.508 (0.04571%) b = -51.6933 +/- 30.93 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:11:02 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1391835156e+02 0.00e+00 1.30e-02 2.070235e-02 -2.660599e-03 -2.088650e-03 2 2.1308656319e+02 -8.06e-05 1.30e-04 2.036704e-02 -4.342421e-04 -5.528872e-05 After 2 iterations the fit converged. final sum of squares of residuals : 213.087 rel. change during last iteration : -8.06093e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111581 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124503 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.020367 +/- 0.0011 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -5.52887e-05 +/- 0.0003081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 19:11:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+11 0.00e+00 5.43e+03 7.675761e+03 -5.169328e+01 2 3.4980610849e+09 -9.88e-02 5.43e+01 1.304709e+04 -5.441197e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49806e+09 rel. change during last iteration : -9.88392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.077 variance of residuals (reduced chisquare) = WSSR/ndf : 204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13047.1 +/- 3.512 (0.02692%) b = -54.412 +/- 30.96 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:11:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1324561745e+02 0.00e+00 1.18e-02 2.036704e-02 -4.342421e-04 -5.528872e-05 3 2.1026437525e+02 -2.36e-02 1.18e-05 1.452617e-02 7.342969e-03 7.360989e-03 After 3 iterations the fit converged. final sum of squares of residuals : 210.264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110839 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122854 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0145262 +/- 0.001024 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.00736099 +/- 0.0004917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 19:11:06 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+11 0.00e+00 9.23e+03 1.304709e+04 -5.441197e+01 2 3.4977302338e+09 -2.08e-01 9.23e+01 1.839802e+04 -5.140628e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49773e+09 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.056 variance of residuals (reduced chisquare) = WSSR/ndf : 204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18398 +/- 3.512 (0.01909%) b = -51.4063 +/- 30.97 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:11:07 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.2302749789e+02 0.00e+00 1.94e-02 1.452617e-02 7.342969e-03 7.360989e-03 2 2.1304400889e+02 -5.34e-05 1.94e-04 1.999514e-02 6.307196e-04 1.793797e-04 After 2 iterations the fit converged. final sum of squares of residuals : 213.044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11157 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124478 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0199951 +/- 0.001162 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.00017938 +/- 0.0003099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 19:11:09 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+11 0.00e+00 1.30e+04 1.839802e+04 -5.140628e+01 2 3.4985497999e+09 -8.52e-02 1.30e+02 2.376859e+04 -5.273164e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49855e+09 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.109 variance of residuals (reduced chisquare) = WSSR/ndf : 204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23768.6 +/- 3.513 (0.01478%) b = -52.7316 +/- 30.98 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:11:10 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1290140795e+02 0.00e+00 1.16e-02 1.999514e-02 6.307196e-04 1.793797e-04 3 2.1161198441e+02 -1.46e-06 1.16e-05 1.548960e-02 8.383212e-04 4.763583e-03 After 3 iterations the fit converged. final sum of squares of residuals : 211.612 rel. change during last iteration : -1.46052e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123641 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0154896 +/- 0.0009726 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.00476358 +/- 0.0004661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 19:11:11 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+11 0.00e+00 1.68e+04 2.376859e+04 -5.273164e+01 2 3.4979736144e+09 -7.23e-02 1.68e+02 2.911969e+04 -5.174959e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49797e+09 rel. change during last iteration : -7.23073e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.071 variance of residuals (reduced chisquare) = WSSR/ndf : 204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29119.7 +/- 3.513 (0.01206%) b = -51.7496 +/- 30.98 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:11:12 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1689028344e+02 0.00e+00 1.34e-02 1.548960e-02 8.383212e-04 4.763583e-03 2 2.1294847326e+02 -3.05e-03 1.34e-04 2.120513e-02 -1.020705e-03 -4.126603e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124422 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0212051 +/- 0.0011 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.00041266 +/- 0.0003154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 19:13:36 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.1491129289e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 3.4614276538e+09 -2.45e-03 7.12e-03 2.269416e+03 -3.341368e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.46143e+09 rel. change during last iteration : -2.45457e-08 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 449.704 variance of residuals (reduced chisquare) = WSSR/ndf : 202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2269.42 +/- 3.495 (0.154%) b = -33.4137 +/- 30.84 (92.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 19:13:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1643668413e+04 0.00e+00 6.16e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.1261425704e+02 -2.88e-01 6.16e-03 2.070235e-02 -2.660599e-03 -2.088650e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.614 rel. change during last iteration : -2.8836e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111457 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124227 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0207023 +/- 0.00116 (5.603%) bb = -0.0026606 +/- 0.002591 (97.38%) cc = -0.00208865 +/- 0.007184 (343.9%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 19:13:39 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613418e+11 0.00e+00 1.60e+03 2.269416e+03 -3.341368e+01 3 3.4903507348e+09 -1.64e-02 1.60e+00 7.675761e+03 -5.169328e+01 After 3 iterations the fit converged. final sum of squares of residuals : 3.49035e+09 rel. change during last iteration : -1.63528e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.579 variance of residuals (reduced chisquare) = WSSR/ndf : 203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7675.76 +/- 3.508 (0.04571%) b = -51.6933 +/- 30.93 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:13:40 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1391835156e+02 0.00e+00 1.30e-02 2.070235e-02 -2.660599e-03 -2.088650e-03 2 2.1308656319e+02 -8.06e-05 1.30e-04 2.036704e-02 -4.342421e-04 -5.528872e-05 After 2 iterations the fit converged. final sum of squares of residuals : 213.087 rel. change during last iteration : -8.06093e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111581 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124503 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.020367 +/- 0.0011 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -5.52887e-05 +/- 0.0003081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 19:13:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+11 0.00e+00 5.43e+03 7.675761e+03 -5.169328e+01 2 3.4980610849e+09 -9.88e-02 5.43e+01 1.304709e+04 -5.441197e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49806e+09 rel. change during last iteration : -9.88392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.077 variance of residuals (reduced chisquare) = WSSR/ndf : 204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13047.1 +/- 3.512 (0.02692%) b = -54.412 +/- 30.96 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:13:43 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1324561745e+02 0.00e+00 1.18e-02 2.036704e-02 -4.342421e-04 -5.528872e-05 3 2.1026437525e+02 -2.36e-02 1.18e-05 1.452617e-02 7.342969e-03 7.360989e-03 After 3 iterations the fit converged. final sum of squares of residuals : 210.264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110839 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122854 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0145262 +/- 0.001024 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.00736099 +/- 0.0004917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 19:13:45 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+11 0.00e+00 9.23e+03 1.304709e+04 -5.441197e+01 2 3.4977302338e+09 -2.08e-01 9.23e+01 1.839802e+04 -5.140628e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49773e+09 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.056 variance of residuals (reduced chisquare) = WSSR/ndf : 204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18398 +/- 3.512 (0.01909%) b = -51.4063 +/- 30.97 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:13:46 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.2302749789e+02 0.00e+00 1.94e-02 1.452617e-02 7.342969e-03 7.360989e-03 2 2.1304400889e+02 -5.34e-05 1.94e-04 1.999514e-02 6.307196e-04 1.793797e-04 After 2 iterations the fit converged. final sum of squares of residuals : 213.044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11157 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124478 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0199951 +/- 0.001162 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.00017938 +/- 0.0003099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 19:13:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+11 0.00e+00 1.30e+04 1.839802e+04 -5.140628e+01 2 3.4985497999e+09 -8.52e-02 1.30e+02 2.376859e+04 -5.273164e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49855e+09 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.109 variance of residuals (reduced chisquare) = WSSR/ndf : 204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23768.6 +/- 3.513 (0.01478%) b = -52.7316 +/- 30.98 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:13:48 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1290140795e+02 0.00e+00 1.16e-02 1.999514e-02 6.307196e-04 1.793797e-04 3 2.1161198441e+02 -1.46e-06 1.16e-05 1.548960e-02 8.383212e-04 4.763583e-03 After 3 iterations the fit converged. final sum of squares of residuals : 211.612 rel. change during last iteration : -1.46052e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123641 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0154896 +/- 0.0009726 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.00476358 +/- 0.0004661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 19:13:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+11 0.00e+00 1.68e+04 2.376859e+04 -5.273164e+01 2 3.4979736144e+09 -7.23e-02 1.68e+02 2.911969e+04 -5.174959e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49797e+09 rel. change during last iteration : -7.23073e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.071 variance of residuals (reduced chisquare) = WSSR/ndf : 204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29119.7 +/- 3.513 (0.01206%) b = -51.7496 +/- 30.98 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:13:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1689028344e+02 0.00e+00 1.34e-02 1.548960e-02 8.383212e-04 4.763583e-03 2 2.1294847326e+02 -3.05e-03 1.34e-04 2.120513e-02 -1.020705e-03 -4.126603e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124422 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0212051 +/- 0.0011 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.00041266 +/- 0.0003154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 19:14:28 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.1491129289e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 3.4614276538e+09 -2.45e-03 7.12e-03 2.269416e+03 -3.341368e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.46143e+09 rel. change during last iteration : -2.45457e-08 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 449.704 variance of residuals (reduced chisquare) = WSSR/ndf : 202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2269.42 +/- 3.495 (0.154%) b = -33.4137 +/- 30.84 (92.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 19:14:29 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1643668413e+04 0.00e+00 6.16e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.1261425704e+02 -2.88e-01 6.16e-03 2.070235e-02 -2.660599e-03 -2.088650e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.614 rel. change during last iteration : -2.8836e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111457 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124227 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0207023 +/- 0.00116 (5.603%) bb = -0.0026606 +/- 0.002591 (97.38%) cc = -0.00208865 +/- 0.007184 (343.9%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 19:14:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613418e+11 0.00e+00 1.60e+03 2.269416e+03 -3.341368e+01 3 3.4903507348e+09 -1.64e-02 1.60e+00 7.675761e+03 -5.169328e+01 After 3 iterations the fit converged. final sum of squares of residuals : 3.49035e+09 rel. change during last iteration : -1.63528e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.579 variance of residuals (reduced chisquare) = WSSR/ndf : 203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7675.76 +/- 3.508 (0.04571%) b = -51.6933 +/- 30.93 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:14:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1391835156e+02 0.00e+00 1.30e-02 2.070235e-02 -2.660599e-03 -2.088650e-03 2 2.1308656319e+02 -8.06e-05 1.30e-04 2.036704e-02 -4.342421e-04 -5.528872e-05 After 2 iterations the fit converged. final sum of squares of residuals : 213.087 rel. change during last iteration : -8.06093e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111581 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124503 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.020367 +/- 0.0011 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -5.52887e-05 +/- 0.0003081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 19:14:33 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+11 0.00e+00 5.43e+03 7.675761e+03 -5.169328e+01 2 3.4980610849e+09 -9.88e-02 5.43e+01 1.304709e+04 -5.441197e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49806e+09 rel. change during last iteration : -9.88392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.077 variance of residuals (reduced chisquare) = WSSR/ndf : 204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13047.1 +/- 3.512 (0.02692%) b = -54.412 +/- 30.96 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:14:34 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1324561745e+02 0.00e+00 1.18e-02 2.036704e-02 -4.342421e-04 -5.528872e-05 3 2.1026437525e+02 -2.36e-02 1.18e-05 1.452617e-02 7.342969e-03 7.360989e-03 After 3 iterations the fit converged. final sum of squares of residuals : 210.264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110839 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122854 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0145262 +/- 0.001024 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.00736099 +/- 0.0004917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 19:14:36 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+11 0.00e+00 9.23e+03 1.304709e+04 -5.441197e+01 2 3.4977302338e+09 -2.08e-01 9.23e+01 1.839802e+04 -5.140628e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49773e+09 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.056 variance of residuals (reduced chisquare) = WSSR/ndf : 204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18398 +/- 3.512 (0.01909%) b = -51.4063 +/- 30.97 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:14:37 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.2302749789e+02 0.00e+00 1.94e-02 1.452617e-02 7.342969e-03 7.360989e-03 2 2.1304400889e+02 -5.34e-05 1.94e-04 1.999514e-02 6.307196e-04 1.793797e-04 After 2 iterations the fit converged. final sum of squares of residuals : 213.044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11157 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124478 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0199951 +/- 0.001162 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.00017938 +/- 0.0003099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 19:14:38 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+11 0.00e+00 1.30e+04 1.839802e+04 -5.140628e+01 2 3.4985497999e+09 -8.52e-02 1.30e+02 2.376859e+04 -5.273164e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49855e+09 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.109 variance of residuals (reduced chisquare) = WSSR/ndf : 204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23768.6 +/- 3.513 (0.01478%) b = -52.7316 +/- 30.98 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:14:40 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1290140795e+02 0.00e+00 1.16e-02 1.999514e-02 6.307196e-04 1.793797e-04 3 2.1161198441e+02 -1.46e-06 1.16e-05 1.548960e-02 8.383212e-04 4.763583e-03 After 3 iterations the fit converged. final sum of squares of residuals : 211.612 rel. change during last iteration : -1.46052e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123641 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0154896 +/- 0.0009726 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.00476358 +/- 0.0004661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 19:14:41 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+11 0.00e+00 1.68e+04 2.376859e+04 -5.273164e+01 2 3.4979736144e+09 -7.23e-02 1.68e+02 2.911969e+04 -5.174959e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49797e+09 rel. change during last iteration : -7.23073e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.071 variance of residuals (reduced chisquare) = WSSR/ndf : 204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29119.7 +/- 3.513 (0.01206%) b = -51.7496 +/- 30.98 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:14:42 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1689028344e+02 0.00e+00 1.34e-02 1.548960e-02 8.383212e-04 4.763583e-03 2 2.1294847326e+02 -3.05e-03 1.34e-04 2.120513e-02 -1.020705e-03 -4.126603e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124422 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0212051 +/- 0.0011 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.00041266 +/- 0.0003154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 19:18:18 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 9.1491129289e+10 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 3.4614276538e+09 -2.45e-03 7.12e-03 2.269416e+03 -3.341368e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.46143e+09 rel. change during last iteration : -2.45457e-08 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 449.704 variance of residuals (reduced chisquare) = WSSR/ndf : 202233 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2269.42 +/- 3.495 (0.154%) b = -33.4137 +/- 30.84 (92.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.181 1.000 ******************************************************************************* Sat Feb 22 19:18:19 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1643668413e+04 0.00e+00 6.16e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.1261425704e+02 -2.88e-01 6.16e-03 2.070235e-02 -2.660599e-03 -2.088650e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.614 rel. change during last iteration : -2.8836e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111457 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124227 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0207023 +/- 0.00116 (5.603%) bb = -0.0026606 +/- 0.002591 (97.38%) cc = -0.00208865 +/- 0.007184 (343.9%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.031 1.000 cc -0.677 0.123 1.000 ******************************************************************************* Sat Feb 22 19:18:21 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.0375613418e+11 0.00e+00 1.60e+03 2.269416e+03 -3.341368e+01 3 3.4903507348e+09 -1.64e-02 1.60e+00 7.675761e+03 -5.169328e+01 After 3 iterations the fit converged. final sum of squares of residuals : 3.49035e+09 rel. change during last iteration : -1.63528e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.579 variance of residuals (reduced chisquare) = WSSR/ndf : 203923 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7675.76 +/- 3.508 (0.04571%) b = -51.6933 +/- 30.93 (59.84%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:18:22 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1391835156e+02 0.00e+00 1.30e-02 2.070235e-02 -2.660599e-03 -2.088650e-03 2 2.1308656319e+02 -8.06e-05 1.30e-04 2.036704e-02 -4.342421e-04 -5.528872e-05 After 2 iterations the fit converged. final sum of squares of residuals : 213.087 rel. change during last iteration : -8.06093e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111581 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124503 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.020367 +/- 0.0011 (5.401%) bb = -0.000434242 +/- 0.0005979 (137.7%) cc = -5.52887e-05 +/- 0.0003081 (557.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.079 1.000 cc -0.616 0.343 1.000 ******************************************************************************* Sat Feb 22 19:18:23 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9736143655e+11 0.00e+00 5.43e+03 7.675761e+03 -5.169328e+01 2 3.4980610849e+09 -9.88e-02 5.43e+01 1.304709e+04 -5.441197e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49806e+09 rel. change during last iteration : -9.88392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.077 variance of residuals (reduced chisquare) = WSSR/ndf : 204374 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13047.1 +/- 3.512 (0.02692%) b = -54.412 +/- 30.96 (56.91%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:18:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1324561745e+02 0.00e+00 1.18e-02 2.036704e-02 -4.342421e-04 -5.528872e-05 3 2.1026437525e+02 -2.36e-02 1.18e-05 1.452617e-02 7.342969e-03 7.360989e-03 After 3 iterations the fit converged. final sum of squares of residuals : 210.264 rel. change during last iteration : -2.36493e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.110839 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0122854 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0145262 +/- 0.001024 (7.049%) bb = 0.00734297 +/- 0.0008867 (12.08%) cc = 0.00736099 +/- 0.0004917 (6.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.156 1.000 cc -0.455 0.338 1.000 ******************************************************************************* Sat Feb 22 19:18:26 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9364071631e+11 0.00e+00 9.23e+03 1.304709e+04 -5.441197e+01 2 3.4977302338e+09 -2.08e-01 9.23e+01 1.839802e+04 -5.140628e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49773e+09 rel. change during last iteration : -2.08337e-06 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.056 variance of residuals (reduced chisquare) = WSSR/ndf : 204354 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18398 +/- 3.512 (0.01909%) b = -51.4063 +/- 30.97 (60.25%) correlation matrix of the fit parameters: a b a 1.000 b -0.179 1.000 ******************************************************************************* Sat Feb 22 19:18:27 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.2302749789e+02 0.00e+00 1.94e-02 1.452617e-02 7.342969e-03 7.360989e-03 2 2.1304400889e+02 -5.34e-05 1.94e-04 1.999514e-02 6.307196e-04 1.793797e-04 After 2 iterations the fit converged. final sum of squares of residuals : 213.044 rel. change during last iteration : -5.33997e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11157 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124478 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0199951 +/- 0.001162 (5.809%) bb = 0.00063072 +/- 0.0005424 (86%) cc = 0.00017938 +/- 0.0003099 (172.8%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.674 0.173 1.000 ******************************************************************************* Sat Feb 22 19:18:29 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9722712282e+11 0.00e+00 1.30e+04 1.839802e+04 -5.140628e+01 2 3.4985497999e+09 -8.52e-02 1.30e+02 2.376859e+04 -5.273164e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49855e+09 rel. change during last iteration : -8.51786e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.109 variance of residuals (reduced chisquare) = WSSR/ndf : 204402 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23768.6 +/- 3.513 (0.01478%) b = -52.7316 +/- 30.98 (58.75%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:30 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1290140795e+02 0.00e+00 1.16e-02 1.999514e-02 6.307196e-04 1.793797e-04 3 2.1161198441e+02 -1.46e-06 1.16e-05 1.548960e-02 8.383212e-04 4.763583e-03 After 3 iterations the fit converged. final sum of squares of residuals : 211.612 rel. change during last iteration : -1.46052e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111194 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123641 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0154896 +/- 0.0009726 (6.279%) bb = 0.000838321 +/- 0.0008747 (104.3%) cc = 0.00476358 +/- 0.0004661 (9.785%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.463 0.289 1.000 ******************************************************************************* Sat Feb 22 19:18:32 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9366286472e+11 0.00e+00 1.68e+04 2.376859e+04 -5.273164e+01 2 3.4979736144e+09 -7.23e-02 1.68e+02 2.911969e+04 -5.174959e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49797e+09 rel. change during last iteration : -7.23073e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.071 variance of residuals (reduced chisquare) = WSSR/ndf : 204369 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29119.7 +/- 3.513 (0.01206%) b = -51.7496 +/- 30.98 (59.86%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:33 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1689028344e+02 0.00e+00 1.34e-02 1.548960e-02 8.383212e-04 4.763583e-03 2 2.1294847326e+02 -3.05e-03 1.34e-04 2.120513e-02 -1.020705e-03 -4.126603e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.948 rel. change during last iteration : -3.04765e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111545 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124422 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0212051 +/- 0.0011 (5.188%) bb = -0.0010207 +/- 0.0005931 (58.11%) cc = -0.00041266 +/- 0.0003154 (76.44%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.626 0.281 1.000 ******************************************************************************* Sat Feb 22 19:18:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9702646603e+11 0.00e+00 2.06e+04 2.911969e+04 -5.174959e+01 2 3.4907728821e+09 -1.61e-02 2.06e+02 3.448918e+04 -5.195593e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49077e+09 rel. change during last iteration : -1.61049e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.606 variance of residuals (reduced chisquare) = WSSR/ndf : 203948 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34489.2 +/- 3.509 (0.01017%) b = -51.9559 +/- 30.94 (59.54%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:35 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1309220552e+02 0.00e+00 1.23e-02 2.120513e-02 -1.020705e-03 -4.126603e-04 2 2.1306978189e+02 -6.15e-04 1.23e-04 2.029953e-02 -7.719009e-04 1.608866e-05 After 2 iterations the fit converged. final sum of squares of residuals : 213.07 rel. change during last iteration : -6.15055e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111576 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124493 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0202995 +/- 0.00109 (5.369%) bb = -0.000771901 +/- 0.000596 (77.21%) cc = 1.60887e-05 +/- 0.000322 (2001%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.061 1.000 cc -0.620 0.190 1.000 ******************************************************************************* Sat Feb 22 19:18:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9386669756e+11 0.00e+00 2.44e+04 3.448918e+04 -5.195593e+01 2 3.4983444443e+09 -3.90e-02 2.44e+02 3.984140e+04 -5.149849e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49834e+09 rel. change during last iteration : -3.89636e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.095 variance of residuals (reduced chisquare) = WSSR/ndf : 204390 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39841.4 +/- 3.513 (0.008817%) b = -51.4985 +/- 30.97 (60.15%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1301291617e+02 0.00e+00 1.17e-02 2.029953e-02 -7.719009e-04 1.608866e-05 3 2.1287480117e+02 -1.36e-01 1.17e-05 1.846080e-02 -7.739043e-04 1.229317e-03 After 3 iterations the fit converged. final sum of squares of residuals : 212.875 rel. change during last iteration : -1.35753e-06 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111525 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124379 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0184608 +/- 0.001026 (5.558%) bb = -0.000773904 +/- 0.0006827 (88.22%) cc = 0.00122932 +/- 0.000365 (29.7%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.015 1.000 cc -0.556 0.068 1.000 ******************************************************************************* Sat Feb 22 19:18:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9716587310e+11 0.00e+00 2.82e+04 3.984140e+04 -5.149849e+01 2 3.4966666321e+09 -2.61e-02 2.82e+02 4.521160e+04 -5.121395e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49667e+09 rel. change during last iteration : -2.60759e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.987 variance of residuals (reduced chisquare) = WSSR/ndf : 204292 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45211.6 +/- 3.512 (0.007768%) b = -51.2139 +/- 30.97 (60.47%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1232699036e+02 0.00e+00 1.08e-02 1.846080e-02 -7.739043e-04 1.229317e-03 2 2.1138907899e+02 -7.58e-04 1.08e-04 1.423256e-02 -4.798260e-04 5.103408e-03 After 2 iterations the fit converged. final sum of squares of residuals : 211.389 rel. change during last iteration : -7.57931e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111136 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123511 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0142326 +/- 0.001009 (7.089%) bb = -0.000479826 +/- 0.00077 (160.5%) cc = 0.00510341 +/- 0.000446 (8.74%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.030 1.000 cc -0.539 -0.000 1.000 ******************************************************************************* Sat Feb 22 19:18:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9371481846e+11 0.00e+00 3.20e+04 4.521160e+04 -5.121395e+01 2 3.4986800355e+09 -2.17e-02 3.20e+02 5.056300e+04 -5.100567e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49868e+09 rel. change during last iteration : -2.16613e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.117 variance of residuals (reduced chisquare) = WSSR/ndf : 204410 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50563 +/- 3.513 (0.006948%) b = -51.0057 +/- 30.97 (60.73%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:43 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1511890398e+02 0.00e+00 1.26e-02 1.423256e-02 -4.798260e-04 5.103408e-03 2 2.1297551762e+02 -3.36e-03 1.26e-04 1.854155e-02 2.705689e-04 8.759919e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.976 rel. change during last iteration : -3.36167e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111552 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124438 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0185415 +/- 0.001134 (6.119%) bb = 0.000270569 +/- 0.0005888 (217.6%) cc = 0.000875992 +/- 0.0003538 (40.39%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.045 1.000 cc -0.659 -0.105 1.000 ******************************************************************************* Sat Feb 22 19:18:45 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9703138782e+11 0.00e+00 3.58e+04 5.056300e+04 -5.100567e+01 2 3.4910838867e+09 -1.41e-02 3.58e+02 5.593251e+04 -5.109122e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49108e+09 rel. change during last iteration : -1.41279e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.626 variance of residuals (reduced chisquare) = WSSR/ndf : 203966 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55932.5 +/- 3.509 (0.006274%) b = -51.0912 +/- 30.94 (60.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:46 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1264671376e+02 0.00e+00 1.08e-02 1.854155e-02 2.705689e-04 8.759919e-04 2 2.1212878406e+02 -8.88e-02 1.08e-04 1.586044e-02 1.672017e-03 3.374173e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.129 rel. change during last iteration : -8.87549e-07 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11133 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123943 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0158604 +/- 0.001016 (6.406%) bb = 0.00167202 +/- 0.0007288 (43.59%) cc = 0.00337417 +/- 0.000407 (12.06%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.012 1.000 cc -0.546 0.011 1.000 ******************************************************************************* Sat Feb 22 19:18:48 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9385854341e+11 0.00e+00 3.96e+04 5.593251e+04 -5.109122e+01 2 3.4971488681e+09 -2.04e-02 3.96e+02 6.128470e+04 -5.093406e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49715e+09 rel. change during last iteration : -2.0392e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.018 variance of residuals (reduced chisquare) = WSSR/ndf : 204320 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61284.7 +/- 3.512 (0.005731%) b = -50.9341 +/- 30.97 (60.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:49 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1291068429e+02 0.00e+00 1.06e-02 1.586044e-02 1.672017e-03 3.374173e-03 2 2.1271698912e+02 -2.75e-05 1.06e-04 1.739109e-02 7.317150e-04 1.937037e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.717 rel. change during last iteration : -2.74798e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111484 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124287 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0173911 +/- 0.001051 (6.044%) bb = 0.000731715 +/- 0.0006785 (92.72%) cc = 0.00193704 +/- 0.0003879 (20.02%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.003 1.000 cc -0.584 0.080 1.000 ******************************************************************************* Sat Feb 22 19:18:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9716994626e+11 0.00e+00 4.33e+04 6.128470e+04 -5.093406e+01 2 3.4970412999e+09 -1.69e-02 4.33e+02 6.665493e+04 -5.082484e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49704e+09 rel. change during last iteration : -1.69458e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.011 variance of residuals (reduced chisquare) = WSSR/ndf : 204314 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66654.9 +/- 3.512 (0.005269%) b = -50.8248 +/- 30.97 (60.93%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1276288800e+02 0.00e+00 1.06e-02 1.739109e-02 7.317150e-04 1.937037e-03 2 2.1263055696e+02 -2.65e-03 1.06e-04 1.685071e-02 -1.286053e-03 1.932295e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.631 rel. change during last iteration : -2.64926e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111461 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124236 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0168507 +/- 0.001084 (6.435%) bb = -0.00128605 +/- 0.0006301 (48.99%) cc = 0.00193229 +/- 0.000366 (18.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.026 1.000 cc -0.619 0.058 1.000 ******************************************************************************* Sat Feb 22 19:18:53 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9357726445e+11 0.00e+00 4.71e+04 6.665493e+04 -5.082484e+01 2 3.4917280377e+09 -1.30e-02 4.71e+02 7.200562e+04 -5.086998e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49173e+09 rel. change during last iteration : -1.29723e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.668 variance of residuals (reduced chisquare) = WSSR/ndf : 204004 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72005.6 +/- 3.51 (0.004874%) b = -50.87 +/- 30.94 (60.83%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1232054222e+02 0.00e+00 1.01e-02 1.685071e-02 -1.286053e-03 1.932295e-03 2 2.1214955921e+02 -9.78e-05 1.01e-04 1.629585e-02 -2.325386e-03 3.243329e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.15 rel. change during last iteration : -9.78454e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111335 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123955 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0162958 +/- 0.001003 (6.155%) bb = -0.00232539 +/- 0.0007455 (32.06%) cc = 0.00324333 +/- 0.0004065 (12.53%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.018 1.000 cc -0.528 -0.029 1.000 ******************************************************************************* Sat Feb 22 19:18:55 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9715940146e+11 0.00e+00 5.09e+04 7.200562e+04 -5.086998e+01 2 3.4905403353e+09 -1.38e-02 5.09e+02 7.737583e+04 -5.092505e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49054e+09 rel. change during last iteration : -1.37927e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.591 variance of residuals (reduced chisquare) = WSSR/ndf : 203934 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77375.8 +/- 3.509 (0.004535%) b = -50.925 +/- 30.94 (60.76%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1381609415e+02 0.00e+00 1.12e-02 1.629585e-02 -2.325386e-03 3.243329e-03 2 2.1292369605e+02 -8.12e-05 1.12e-04 1.859618e-02 8.327277e-04 9.050763e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.924 rel. change during last iteration : -8.11634e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111538 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124408 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0185962 +/- 0.001115 (5.997%) bb = 0.000832728 +/- 0.0006062 (72.79%) cc = 0.000905076 +/- 0.0003622 (40.02%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.027 1.000 cc -0.644 -0.065 1.000 ******************************************************************************* Sat Feb 22 19:18:58 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9371891981e+11 0.00e+00 5.47e+04 7.737583e+04 -5.092505e+01 2 3.4897202881e+09 -1.34e-02 5.47e+02 8.272730e+04 -5.097214e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.48972e+09 rel. change during last iteration : -1.34382e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.538 variance of residuals (reduced chisquare) = WSSR/ndf : 203886 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82727.3 +/- 3.509 (0.004241%) b = -50.9721 +/- 30.94 (60.69%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:18:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1243922421e+02 0.00e+00 1.08e-02 1.859618e-02 8.327277e-04 9.050763e-04 2 2.1152071321e+02 -3.65e-03 1.08e-04 1.486415e-02 2.856820e-03 4.146993e-03 After 2 iterations the fit converged. final sum of squares of residuals : 211.521 rel. change during last iteration : -3.64759e-08 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11117 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123588 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0148641 +/- 0.001009 (6.786%) bb = 0.00285682 +/- 0.0007293 (25.53%) cc = 0.00414699 +/- 0.0003999 (9.642%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.023 1.000 cc -0.539 -0.008 1.000 ******************************************************************************* Sat Feb 22 19:19:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9714522457e+11 0.00e+00 5.85e+04 8.272730e+04 -5.097214e+01 2 3.4902771530e+09 -1.33e-02 5.85e+02 8.809744e+04 -5.101210e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49028e+09 rel. change during last iteration : -1.32593e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.574 variance of residuals (reduced chisquare) = WSSR/ndf : 203919 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88097.4 +/- 3.509 (0.003983%) b = -51.0121 +/- 30.94 (60.65%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:19:02 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1467587116e+02 0.00e+00 1.14e-02 1.486415e-02 2.856820e-03 4.146993e-03 2 2.1302852063e+02 -3.78e-05 1.14e-04 1.972695e-02 -1.249083e-05 3.674087e-04 After 2 iterations the fit converged. final sum of squares of residuals : 213.029 rel. change during last iteration : -3.7821e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111566 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124469 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0197269 +/- 0.001093 (5.54%) bb = -1.24908e-05 +/- 0.000622 (4979%) cc = 0.000367409 +/- 0.0003631 (98.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.008 1.000 cc -0.625 0.041 1.000 ******************************************************************************* Sat Feb 22 19:19:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9372251947e+11 0.00e+00 6.23e+04 8.809744e+04 -5.101210e+01 2 3.4904759886e+09 -1.34e-02 6.23e+02 9.344892e+04 -5.105334e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49048e+09 rel. change during last iteration : -1.34192e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.587 variance of residuals (reduced chisquare) = WSSR/ndf : 203931 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93448.9 +/- 3.509 (0.003755%) b = -51.0533 +/- 30.94 (60.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:19:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1282671330e+02 0.00e+00 1.14e-02 1.972695e-02 -1.249083e-05 3.674087e-04 4 2.1177801162e+02 -4.20e-05 1.14e-06 1.487213e-02 -2.522916e-03 3.598966e-03 After 4 iterations the fit converged. final sum of squares of residuals : 211.778 rel. change during last iteration : -4.19518e-10 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111238 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0123738 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0148721 +/- 0.001043 (7.012%) bb = -0.00252292 +/- 0.0006842 (27.12%) cc = 0.00359897 +/- 0.0003901 (10.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.579 0.041 1.000 ******************************************************************************* Sat Feb 22 19:19:06 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9715270210e+11 0.00e+00 6.61e+04 9.344892e+04 -5.105334e+01 2 3.4902365319e+09 -1.30e-02 6.61e+02 9.881910e+04 -5.108510e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49024e+09 rel. change during last iteration : -1.30234e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.571 variance of residuals (reduced chisquare) = WSSR/ndf : 203917 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98819.1 +/- 3.509 (0.003551%) b = -51.0851 +/- 30.94 (60.56%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:19:07 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1364697875e+02 0.00e+00 1.06e-02 1.487213e-02 -2.522916e-03 3.598966e-03 2 2.1292270923e+02 -9.37e-06 1.06e-04 1.903096e-02 -1.521660e-03 8.377787e-04 After 2 iterations the fit converged. final sum of squares of residuals : 212.923 rel. change during last iteration : -9.37457e-11 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111538 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124407 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.019031 +/- 0.001057 (5.553%) bb = -0.00152166 +/- 0.000655 (43.05%) cc = 0.000837779 +/- 0.0003685 (43.99%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.004 1.000 cc -0.591 -0.029 1.000 ******************************************************************************* Sat Feb 22 19:19:09 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 17118 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.9383665554e+11 0.00e+00 6.99e+04 9.881910e+04 -5.108510e+01 2 3.4942389589e+09 -1.20e-02 6.99e+02 1.041712e+05 -5.109169e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.49424e+09 rel. change during last iteration : -1.20179e-07 degrees of freedom (FIT_NDF) : 17116 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.83 variance of residuals (reduced chisquare) = WSSR/ndf : 204150 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104171 +/- 3.511 (0.00337%) b = -51.0917 +/- 30.96 (60.59%) correlation matrix of the fit parameters: a b a 1.000 b -0.180 1.000 ******************************************************************************* Sat Feb 22 19:19:10 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 17118 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 2.1294841025e+02 0.00e+00 1.11e-02 1.903096e-02 -1.521660e-03 8.377787e-04 2 2.1249091805e+02 -7.75e-04 1.11e-04 1.641307e-02 1.404907e-03 2.356457e-03 After 2 iterations the fit converged. final sum of squares of residuals : 212.491 rel. change during last iteration : -7.75056e-09 degrees of freedom (FIT_NDF) : 17115 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.111425 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0124155 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0164131 +/- 0.001075 (6.552%) bb = 0.00140491 +/- 0.0006535 (46.52%) cc = 0.00235646 +/- 0.0003862 (16.39%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.022 1.000 cc -0.611 -0.036 1.000