******************************************************************************* Sun Mar 16 13:34:59 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.1111921837e+10 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 2 6.8257419043e+08 -2.45e-02 7.11e-03 2.254495e+03 3.253850e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.82574e+08 rel. change during last iteration : -2.45395e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 292.85 variance of residuals (reduced chisquare) = WSSR/ndf : 85761.3 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2254.49 +/- 3.328 (0.1476%) b = 3.25385 +/- 29.98 (921.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.166 1.000 ******************************************************************************* Sun Mar 16 13:34:59 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.3780954272e+04 0.00e+00 6.74e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 9.5283491163e+01 -3.39e-01 6.74e-03 1.605323e-02 -2.851472e-03 1.070464e-02 After 2 iterations the fit converged. final sum of squares of residuals : 95.2835 rel. change during last iteration : -3.3949e-06 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109423 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119733 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0160532 +/- 0.001503 (9.364%) bb = -0.00285147 +/- 0.002625 (92.06%) cc = 0.0107046 +/- 0.003976 (37.14%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.578 0.051 1.000 ******************************************************************************* Sun Mar 16 13:35:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.6908143517e+12 0.00e+00 1.59e+03 2.254495e+03 3.253850e+00 3 6.0870333439e+08 -1.59e-02 1.59e+00 2.378438e+04 2.391650e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.08703e+08 rel. change during last iteration : -1.59185e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.55 variance of residuals (reduced chisquare) = WSSR/ndf : 76479.9 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23784.4 +/- 3.142 (0.01321%) b = 2.39165 +/- 28.3 (1183%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:35:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.6068920305e+01 0.00e+00 1.61e-02 1.605323e-02 -2.851472e-03 1.070464e-02 2 9.4560928352e+01 -9.46e-04 1.61e-04 1.184881e-02 -1.958890e-04 5.960233e-03 After 2 iterations the fit converged. final sum of squares of residuals : 94.5609 rel. change during last iteration : -9.45764e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109007 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0118825 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0118488 +/- 0.001419 (11.97%) bb = -0.000195889 +/- 0.001243 (634.5%) cc = 0.00596023 +/- 0.0007004 (11.75%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.022 1.000 cc -0.493 0.286 1.000 ******************************************************************************* Sun Mar 16 13:35:01 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.6612318562e+12 0.00e+00 1.68e+04 2.378438e+04 2.391650e+00 3 6.0894962894e+08 -2.00e-03 1.68e+01 4.522778e+04 2.426954e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.0895e+08 rel. change during last iteration : -2.00191e-08 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.606 variance of residuals (reduced chisquare) = WSSR/ndf : 76510.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45227.8 +/- 3.143 (0.00695%) b = 2.42695 +/- 28.3 (1166%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:35:02 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.4311297905e+01 0.00e+00 9.90e-03 1.184881e-02 -1.958890e-04 5.960233e-03 3 9.4206861160e+01 -1.90e-05 9.90e-06 9.744520e-03 -2.578208e-03 7.403977e-03 After 3 iterations the fit converged. final sum of squares of residuals : 94.2069 rel. change during last iteration : -1.90338e-10 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108803 variance of residuals (reduced chisquare) = WSSR/ndf : 0.011838 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00974452 +/- 0.001488 (15.27%) bb = -0.00257821 +/- 0.001123 (43.54%) cc = 0.00740398 +/- 0.0007139 (9.642%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.061 1.000 cc -0.569 -0.000 1.000 ******************************************************************************* Sun Mar 16 13:35:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.6611564788e+12 0.00e+00 3.20e+04 4.522778e+04 2.426954e+00 3 6.0870682055e+08 -1.51e-04 3.20e+01 6.667097e+04 2.432148e+00 After 3 iterations the fit converged. final sum of squares of residuals : 6.08707e+08 rel. change during last iteration : -1.51182e-09 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.551 variance of residuals (reduced chisquare) = WSSR/ndf : 76480.3 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66671 +/- 3.142 (0.004713%) b = 2.43215 +/- 28.29 (1163%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:35:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.8366785772e+01 0.00e+00 1.28e-02 9.744520e-03 -2.578208e-03 7.403977e-03 2 9.5505187274e+01 -5.36e-04 1.28e-04 2.019159e-02 2.657707e-04 -1.192501e-03 After 2 iterations the fit converged. final sum of squares of residuals : 95.5052 rel. change during last iteration : -5.36435e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.10955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120012 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0201916 +/- 0.001527 (7.563%) bb = 0.000265771 +/- 0.0009776 (367.8%) cc = -0.0011925 +/- 0.0005754 (48.26%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.005 1.000 cc -0.595 0.003 1.000 ******************************************************************************* Sun Mar 16 13:35:04 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 5459 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.5097277890e+12 0.00e+00 4.71e+04 6.667097e+04 2.432148e+00 3 4.2143347571e+08 -4.60e-02 4.71e+01 8.811074e+04 2.483428e+00 After 3 iterations the fit converged. final sum of squares of residuals : 4.21433e+08 rel. change during last iteration : -4.59696e-07 degrees of freedom (FIT_NDF) : 5457 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 277.899 variance of residuals (reduced chisquare) = WSSR/ndf : 77228.1 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88110.7 +/- 5.214 (0.005917%) b = 2.48343 +/- 48.53 (1954%) correlation matrix of the fit parameters: a b a 1.000 b -0.693 1.000 ******************************************************************************* Sun Mar 16 13:35:05 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 5459 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.9933561542e+01 0.00e+00 1.18e-02 2.019159e-02 2.657707e-04 -1.192501e-03 2 3.2410142798e+01 -2.99e-01 1.18e-04 8.092009e-02 8.559651e-04 -3.555368e-03 After 2 iterations the fit converged. final sum of squares of residuals : 32.4101 rel. change during last iteration : -2.99495e-06 degrees of freedom (FIT_NDF) : 5456 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0770732 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00594028 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0809201 +/- 0.001335 (1.65%) bb = 0.000855965 +/- 0.0007758 (90.64%) cc = -0.00355537 +/- 0.0004583 (12.89%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.013 1.000 cc -0.623 0.076 1.000 ******************************************************************************* Sun Mar 16 13:49:04 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 4.1111921837e+10 0.00e+00 7.11e-01 1.000000e+00 1.000000e+00 2 6.8257419043e+08 -2.45e-02 7.11e-03 2.254495e+03 3.253850e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.82574e+08 rel. change during last iteration : -2.45395e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 292.85 variance of residuals (reduced chisquare) = WSSR/ndf : 85761.3 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2254.49 +/- 3.328 (0.1476%) b = 3.25385 +/- 29.98 (921.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.166 1.000 ******************************************************************************* Sun Mar 16 13:49:05 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.3780954272e+04 0.00e+00 6.74e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 9.5283491163e+01 -3.39e-01 6.74e-03 1.605323e-02 -2.851472e-03 1.070464e-02 After 2 iterations the fit converged. final sum of squares of residuals : 95.2835 rel. change during last iteration : -3.3949e-06 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109423 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119733 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0160532 +/- 0.001503 (9.364%) bb = -0.00285147 +/- 0.002625 (92.06%) cc = 0.0107046 +/- 0.003976 (37.14%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.578 0.051 1.000 ******************************************************************************* Sun Mar 16 13:49:06 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.5274771722e+11 0.00e+00 1.59e+03 2.254495e+03 3.253850e+00 2 6.0863145055e+08 -9.91e-02 1.59e+01 6.626057e+03 3.228194e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08631e+08 rel. change during last iteration : -9.91163e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.534 variance of residuals (reduced chisquare) = WSSR/ndf : 76470.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6626.06 +/- 3.142 (0.04742%) b = 3.22819 +/- 28.3 (876.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.164 1.000 ******************************************************************************* Sun Mar 16 13:49:06 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.1061137455e+02 0.00e+00 2.42e-02 1.605323e-02 -2.851472e-03 1.070464e-02 2 9.5072272502e+01 -4.52e-04 2.42e-04 2.377049e-02 -1.917904e-03 -2.670895e-03 After 2 iterations the fit converged. final sum of squares of residuals : 95.0723 rel. change during last iteration : -4.52232e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109301 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119468 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0237705 +/- 0.00157 (6.603%) bb = -0.0019179 +/- 0.0008488 (44.26%) cc = -0.0026709 +/- 0.0004474 (16.75%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.020 1.000 cc -0.613 0.228 1.000 ******************************************************************************* Sun Mar 16 13:49:07 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677782512e+11 0.00e+00 4.69e+03 6.626057e+03 3.228194e+00 2 6.0879233278e+08 -9.47e-02 4.69e+01 1.091099e+04 3.225767e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08792e+08 rel. change during last iteration : -9.47377e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.57 variance of residuals (reduced chisquare) = WSSR/ndf : 76491.1 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 10911 +/- 3.142 (0.0288%) b = 3.22577 +/- 28.3 (877.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.164 1.000 ******************************************************************************* Sun Mar 16 13:49:07 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.6417914632e+01 0.00e+00 1.42e-02 2.377049e-02 -1.917904e-03 -2.670895e-03 2 9.4592783394e+01 -7.15e-02 1.42e-04 1.505967e-02 9.001722e-03 5.941321e-03 After 2 iterations the fit converged. final sum of squares of residuals : 94.5928 rel. change during last iteration : -7.15017e-07 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109025 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0118865 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0150597 +/- 0.001447 (9.606%) bb = 0.00900172 +/- 0.001368 (15.2%) cc = 0.00594132 +/- 0.0007425 (12.5%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.124 1.000 cc -0.421 0.420 1.000 ******************************************************************************* Sun Mar 16 13:49:08 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677133300e+11 0.00e+00 7.72e+03 1.091099e+04 3.225767e+00 2 6.0864120064e+08 -9.47e-02 7.72e+01 1.519583e+04 3.226000e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08641e+08 rel. change during last iteration : -9.47174e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.536 variance of residuals (reduced chisquare) = WSSR/ndf : 76472.1 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 15195.8 +/- 3.142 (0.02068%) b = 3.226 +/- 28.3 (877.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.164 1.000 ******************************************************************************* Sun Mar 16 13:49:09 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.4853352817e+01 0.00e+00 1.45e-02 1.505967e-02 9.001722e-03 5.941321e-03 2 9.4706747790e+01 -4.18e-06 1.45e-04 1.309148e-02 7.632144e-03 4.697888e-03 After 2 iterations the fit converged. final sum of squares of residuals : 94.7067 rel. change during last iteration : -4.17511e-11 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109091 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119008 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0130915 +/- 0.001585 (12.1%) bb = 0.00763214 +/- 0.001104 (14.47%) cc = 0.00469789 +/- 0.0006579 (14%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.067 1.000 cc -0.590 0.471 1.000 ******************************************************************************* Sun Mar 16 13:49:09 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677532888e+11 0.00e+00 1.07e+04 1.519583e+04 3.226000e+00 2 6.0882666535e+08 -9.47e-02 1.07e+02 1.948072e+04 3.225648e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08827e+08 rel. change during last iteration : -9.46946e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.578 variance of residuals (reduced chisquare) = WSSR/ndf : 76495.4 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 19480.7 +/- 3.143 (0.01613%) b = 3.22565 +/- 28.3 (877.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.164 1.000 ******************************************************************************* Sun Mar 16 13:49:10 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.8540198749e+01 0.00e+00 1.41e-02 1.309148e-02 7.632144e-03 4.697888e-03 2 9.5043046727e+01 -3.13e-04 1.41e-04 2.409535e-02 -1.217845e-03 -2.795042e-03 After 2 iterations the fit converged. final sum of squares of residuals : 95.043 rel. change during last iteration : -3.12673e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109284 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119431 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0240953 +/- 0.00154 (6.391%) bb = -0.00121784 +/- 0.0009096 (74.69%) cc = -0.00279504 +/- 0.0004534 (16.22%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.098 1.000 cc -0.589 0.389 1.000 ******************************************************************************* Sun Mar 16 13:49:11 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4805742855e+11 0.00e+00 1.38e+04 1.948072e+04 3.225648e+00 2 6.0870343361e+08 -9.56e-02 1.38e+02 2.378437e+04 3.225100e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08703e+08 rel. change during last iteration : -9.55578e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.55 variance of residuals (reduced chisquare) = WSSR/ndf : 76479.9 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23784.4 +/- 3.142 (0.01321%) b = 3.2251 +/- 28.3 (877.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:11 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.6587015568e+01 0.00e+00 1.43e-02 2.409535e-02 -1.217845e-03 -2.795042e-03 2 9.4560928352e+01 -6.46e-03 1.43e-04 1.184881e-02 -1.958928e-04 5.960232e-03 After 2 iterations the fit converged. final sum of squares of residuals : 94.5609 rel. change during last iteration : -6.46067e-08 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109007 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0118825 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0118488 +/- 0.001419 (11.97%) bb = -0.000195893 +/- 0.001243 (634.5%) cc = 0.00596023 +/- 0.0007004 (11.75%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.022 1.000 cc -0.493 0.286 1.000 ******************************************************************************* Sun Mar 16 13:49:12 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677480197e+11 0.00e+00 1.68e+04 2.378437e+04 3.225100e+00 2 6.0863408655e+08 -9.47e-02 1.68e+02 2.806926e+04 3.225071e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08634e+08 rel. change during last iteration : -9.47199e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.534 variance of residuals (reduced chisquare) = WSSR/ndf : 76471.2 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 28069.3 +/- 3.142 (0.01119%) b = 3.22507 +/- 28.29 (877.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:12 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.8104812618e+01 0.00e+00 1.26e-02 1.184881e-02 -1.958928e-04 5.960232e-03 3 9.5386866145e+01 -6.89e-06 1.26e-05 2.143636e-02 -1.400098e-03 -1.638129e-03 After 3 iterations the fit converged. final sum of squares of residuals : 95.3869 rel. change during last iteration : -6.89198e-11 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109482 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119863 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0214364 +/- 0.001626 (7.584%) bb = -0.0014001 +/- 0.0008684 (62.02%) cc = -0.00163813 +/- 0.0005299 (32.35%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.029 1.000 cc -0.653 0.045 1.000 ******************************************************************************* Sun Mar 16 13:49:13 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677315382e+11 0.00e+00 1.98e+04 2.806926e+04 3.225071e+00 2 6.0851137086e+08 -9.47e-02 1.98e+02 3.235412e+04 3.224990e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08511e+08 rel. change during last iteration : -9.47387e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.506 variance of residuals (reduced chisquare) = WSSR/ndf : 76455.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 32354.1 +/- 3.142 (0.009711%) b = 3.22499 +/- 28.29 (877.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:14 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.6247149943e+01 0.00e+00 1.26e-02 2.143636e-02 -1.400098e-03 -1.638129e-03 2 9.4118556796e+01 -5.11e-02 1.26e-04 9.343577e-03 5.218662e-03 7.448663e-03 After 2 iterations the fit converged. final sum of squares of residuals : 94.1186 rel. change during last iteration : -5.11344e-07 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108752 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0118269 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00934358 +/- 0.001532 (16.4%) bb = 0.00521866 +/- 0.001091 (20.9%) cc = 0.00744866 +/- 0.000703 (9.438%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.020 1.000 cc -0.588 0.208 1.000 ******************************************************************************* Sun Mar 16 13:49:15 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677851409e+11 0.00e+00 2.29e+04 3.235412e+04 3.224990e+00 2 6.0878898433e+08 -9.47e-02 2.29e+02 3.663907e+04 3.224919e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08789e+08 rel. change during last iteration : -9.46988e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.569 variance of residuals (reduced chisquare) = WSSR/ndf : 76490.6 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 36639.1 +/- 3.143 (0.008578%) b = 3.22492 +/- 28.3 (877.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.4392247151e+01 0.00e+00 1.06e-02 9.343577e-03 5.218662e-03 7.448663e-03 2 9.3981177874e+01 -8.96e-05 1.06e-04 9.257780e-03 -1.387298e-03 8.345404e-03 After 2 iterations the fit converged. final sum of squares of residuals : 93.9812 rel. change during last iteration : -8.96423e-10 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108672 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0118096 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00925778 +/- 0.001464 (15.81%) bb = -0.0013873 +/- 0.001169 (84.3%) cc = 0.0083454 +/- 0.0007393 (8.859%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.071 1.000 cc -0.554 0.072 1.000 ******************************************************************************* Sun Mar 16 13:49:16 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4678379345e+11 0.00e+00 2.59e+04 3.663907e+04 3.224919e+00 2 6.0825691764e+08 -9.48e-02 2.59e+02 4.092409e+04 3.225114e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08257e+08 rel. change during last iteration : -9.47924e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.449 variance of residuals (reduced chisquare) = WSSR/ndf : 76423.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 40924.1 +/- 3.141 (0.007676%) b = 3.22511 +/- 28.28 (877%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:16 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.4418280097e+01 0.00e+00 1.11e-02 9.257780e-03 -1.387298e-03 8.345404e-03 2 9.4209526873e+01 -1.08e-02 1.11e-04 1.043838e-02 3.294452e-03 7.591659e-03 After 2 iterations the fit converged. final sum of squares of residuals : 94.2095 rel. change during last iteration : -1.08304e-07 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108804 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0118383 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0104384 +/- 0.001464 (14.03%) bb = 0.00329445 +/- 0.001176 (35.71%) cc = 0.00759166 +/- 0.0007311 (9.63%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.077 1.000 cc -0.541 0.070 1.000 ******************************************************************************* Sun Mar 16 13:49:17 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4805969461e+11 0.00e+00 2.89e+04 4.092409e+04 3.225114e+00 2 6.0894941398e+08 -9.55e-02 2.89e+02 4.522777e+04 3.225235e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08949e+08 rel. change during last iteration : -9.55066e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.606 variance of residuals (reduced chisquare) = WSSR/ndf : 76510.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45227.8 +/- 3.143 (0.00695%) b = 3.22524 +/- 28.3 (877.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:18 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.4547213494e+01 0.00e+00 1.11e-02 1.043838e-02 3.294452e-03 7.591659e-03 2 9.4206861160e+01 -5.04e-04 1.11e-04 9.744520e-03 -2.578208e-03 7.403977e-03 After 2 iterations the fit converged. final sum of squares of residuals : 94.2069 rel. change during last iteration : -5.04316e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.108803 variance of residuals (reduced chisquare) = WSSR/ndf : 0.011838 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.00974452 +/- 0.001488 (15.27%) bb = -0.00257821 +/- 0.001123 (43.54%) cc = 0.00740398 +/- 0.0007139 (9.642%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.061 1.000 cc -0.569 -0.000 1.000 ******************************************************************************* Sun Mar 16 13:49:18 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4676843200e+11 0.00e+00 3.20e+04 4.522777e+04 3.225235e+00 2 6.0833672755e+08 -9.48e-02 3.20e+02 4.951257e+04 3.225272e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08337e+08 rel. change during last iteration : -9.47626e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.467 variance of residuals (reduced chisquare) = WSSR/ndf : 76433.8 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 49512.6 +/- 3.142 (0.006345%) b = 3.22527 +/- 28.28 (876.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:19 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.5322621105e+01 0.00e+00 1.14e-02 9.744520e-03 -2.578208e-03 7.403977e-03 2 9.4726630542e+01 -1.44e-03 1.14e-04 1.158160e-02 3.541558e-03 5.291355e-03 After 2 iterations the fit converged. final sum of squares of residuals : 94.7266 rel. change during last iteration : -1.43828e-08 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109102 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119033 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0115816 +/- 0.001519 (13.11%) bb = 0.00354156 +/- 0.001062 (29.98%) cc = 0.00529136 +/- 0.0006666 (12.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.023 1.000 cc -0.587 0.110 1.000 ******************************************************************************* Sun Mar 16 13:49:20 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4678087184e+11 0.00e+00 3.50e+04 4.951257e+04 3.225272e+00 2 6.0875211033e+08 -9.47e-02 3.50e+02 5.379755e+04 3.225307e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08752e+08 rel. change during last iteration : -9.47057e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.561 variance of residuals (reduced chisquare) = WSSR/ndf : 76486 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 53797.5 +/- 3.143 (0.005842%) b = 3.22531 +/- 28.29 (877.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:20 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.6227243138e+01 0.00e+00 1.07e-02 1.158160e-02 3.541558e-03 5.291355e-03 2 9.5297590445e+01 -2.84e-04 1.07e-04 1.474893e-02 -2.829602e-03 2.391964e-03 After 2 iterations the fit converged. final sum of squares of residuals : 95.2976 rel. change during last iteration : -2.83667e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109431 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119751 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0147489 +/- 0.001557 (10.56%) bb = -0.0028296 +/- 0.0009801 (34.64%) cc = 0.00239196 +/- 0.0006037 (25.24%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.021 1.000 cc -0.613 -0.130 1.000 ******************************************************************************* Sun Mar 16 13:49:21 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677556492e+11 0.00e+00 3.80e+04 5.379755e+04 3.225307e+00 2 6.0859568042e+08 -9.47e-02 3.80e+02 5.808245e+04 3.225346e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08596e+08 rel. change during last iteration : -9.4727e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.525 variance of residuals (reduced chisquare) = WSSR/ndf : 76466.4 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 58082.4 +/- 3.142 (0.00541%) b = 3.22535 +/- 28.29 (877.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:21 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.6178382156e+01 0.00e+00 9.67e-03 1.474893e-02 -2.829602e-03 2.391964e-03 2 9.5499660122e+01 -2.45e-04 9.67e-05 1.866306e-02 1.923375e-03 -9.346435e-05 After 2 iterations the fit converged. final sum of squares of residuals : 95.4997 rel. change during last iteration : -2.45488e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109547 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120005 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0186631 +/- 0.001585 (8.494%) bb = 0.00192337 +/- 0.0009209 (47.88%) cc = -9.34643e-05 +/- 0.0005525 (591.2%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.046 1.000 cc -0.630 0.160 1.000 ******************************************************************************* Sun Mar 16 13:49:22 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677798966e+11 0.00e+00 4.11e+04 5.808245e+04 3.225346e+00 2 6.0866494535e+08 -9.47e-02 4.11e+02 6.236738e+04 3.225371e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08665e+08 rel. change during last iteration : -9.47174e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.541 variance of residuals (reduced chisquare) = WSSR/ndf : 76475.1 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 62367.4 +/- 3.142 (0.005038%) b = 3.22537 +/- 28.29 (877.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:23 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.5681215765e+01 0.00e+00 1.09e-02 1.866306e-02 1.923375e-03 -9.346435e-05 3 9.5440004736e+01 -4.73e-05 1.09e-05 2.108396e-02 -1.173273e-03 -1.440097e-03 After 3 iterations the fit converged. final sum of squares of residuals : 95.44 rel. change during last iteration : -4.73434e-10 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109512 variance of residuals (reduced chisquare) = WSSR/ndf : 0.011993 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.021084 +/- 0.00158 (7.495%) bb = -0.00117327 +/- 0.0008989 (76.61%) cc = -0.0014401 +/- 0.0005304 (36.83%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.024 1.000 cc -0.629 -0.090 1.000 ******************************************************************************* Sun Mar 16 13:49:23 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4805197176e+11 0.00e+00 4.41e+04 6.236738e+04 3.225371e+00 2 6.0870673906e+08 -9.55e-02 4.41e+02 6.667095e+04 3.225379e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08707e+08 rel. change during last iteration : -9.5536e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.551 variance of residuals (reduced chisquare) = WSSR/ndf : 76480.3 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66671 +/- 3.142 (0.004713%) b = 3.22538 +/- 28.29 (877.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:24 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.5535503325e+01 0.00e+00 1.24e-02 2.108396e-02 -1.173273e-03 -1.440097e-03 2 9.5505187274e+01 -2.13e-03 1.24e-04 2.019159e-02 2.657697e-04 -1.192501e-03 After 2 iterations the fit converged. final sum of squares of residuals : 95.5052 rel. change during last iteration : -2.12752e-08 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.10955 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0120012 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0201916 +/- 0.001527 (7.563%) bb = 0.00026577 +/- 0.0009776 (367.8%) cc = -0.0011925 +/- 0.0005754 (48.26%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.005 1.000 cc -0.595 0.003 1.000 ******************************************************************************* Sun Mar 16 13:49:25 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4678305590e+11 0.00e+00 4.71e+04 6.667095e+04 3.225379e+00 2 6.0863312854e+08 -9.47e-02 4.71e+02 7.095596e+04 3.225418e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08633e+08 rel. change during last iteration : -9.47263e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.534 variance of residuals (reduced chisquare) = WSSR/ndf : 76471.1 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 70956 +/- 3.142 (0.004429%) b = 3.22542 +/- 28.29 (877.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.5652188099e+01 0.00e+00 1.18e-02 2.019159e-02 2.657697e-04 -1.192501e-03 2 9.5527476607e+01 -1.91e-01 1.18e-04 1.726245e-02 1.092790e-03 8.371231e-04 After 2 iterations the fit converged. final sum of squares of residuals : 95.5275 rel. change during last iteration : -1.91198e-06 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109563 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012004 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0172625 +/- 0.001485 (8.6%) bb = 0.00109279 +/- 0.001082 (99%) cc = 0.000837123 +/- 0.0006471 (77.3%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.562 0.024 1.000 ******************************************************************************* Sun Mar 16 13:49:26 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677966086e+11 0.00e+00 5.02e+04 7.095596e+04 3.225418e+00 2 6.0871705790e+08 -9.47e-02 5.02e+02 7.524092e+04 3.225448e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08717e+08 rel. change during last iteration : -9.47107e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.553 variance of residuals (reduced chisquare) = WSSR/ndf : 76481.6 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 75240.9 +/- 3.143 (0.004177%) b = 3.22545 +/- 28.29 (877.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:26 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.5509634948e+01 0.00e+00 1.00e-02 1.726245e-02 1.092790e-03 8.371231e-04 2 9.5281585620e+01 -1.38e-02 1.00e-04 1.507926e-02 -2.502863e-03 2.878784e-03 After 2 iterations the fit converged. final sum of squares of residuals : 95.2816 rel. change during last iteration : -1.37963e-07 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109421 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119731 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0150793 +/- 0.001456 (9.654%) bb = -0.00250286 +/- 0.001134 (45.32%) cc = 0.00287878 +/- 0.0006676 (23.19%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.034 1.000 cc -0.537 -0.019 1.000 ******************************************************************************* Sun Mar 16 13:49:27 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4677031997e+11 0.00e+00 5.32e+04 7.524092e+04 3.225448e+00 2 6.0882853020e+08 -9.47e-02 5.32e+02 7.952574e+04 3.225478e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08829e+08 rel. change during last iteration : -9.46873e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.578 variance of residuals (reduced chisquare) = WSSR/ndf : 76495.6 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 79525.7 +/- 3.143 (0.003952%) b = 3.22548 +/- 28.29 (877.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.5594788114e+01 0.00e+00 9.69e-03 1.507926e-02 -2.502863e-03 2.878784e-03 2 9.5239106749e+01 -7.79e-04 9.69e-05 1.506523e-02 3.326065e-03 2.701889e-03 After 2 iterations the fit converged. final sum of squares of residuals : 95.2391 rel. change during last iteration : -7.78904e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109397 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119677 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0150652 +/- 0.001468 (9.747%) bb = 0.00332606 +/- 0.001082 (32.52%) cc = 0.00270189 +/- 0.0006244 (23.11%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.023 1.000 cc -0.547 0.060 1.000 ******************************************************************************* Sun Mar 16 13:49:28 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.4676693960e+11 0.00e+00 5.62e+04 7.952574e+04 3.225478e+00 2 6.0843697846e+08 -9.47e-02 5.62e+02 8.381052e+04 3.225478e+00 After 2 iterations the fit converged. final sum of squares of residuals : 6.08437e+08 rel. change during last iteration : -9.47455e-07 degrees of freedom (FIT_NDF) : 7959 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 276.489 variance of residuals (reduced chisquare) = WSSR/ndf : 76446.4 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 83810.5 +/- 3.142 (0.003749%) b = 3.22548 +/- 28.28 (876.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.165 1.000 ******************************************************************************* Sun Mar 16 13:49:29 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 7961 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 9.5997348266e+01 0.00e+00 9.92e-03 1.506523e-02 3.326065e-03 2.701889e-03 2 9.5414884497e+01 -2.55e-04 9.92e-05 1.655725e-02 -2.783094e-03 1.279485e-03 After 2 iterations the fit converged. final sum of squares of residuals : 95.4149 rel. change during last iteration : -2.55177e-09 degrees of freedom (FIT_NDF) : 7958 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.109498 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0119898 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0165572 +/- 0.001515 (9.149%) bb = -0.00278309 +/- 0.0009938 (35.71%) cc = 0.00127949 +/- 0.0005765 (45.06%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.007 1.000 cc -0.584 -0.105 1.000