******************************************************************************* Mon Feb 24 12:17:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0497171518e+11 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 3.8929218082e+09 -1.81e-03 7.12e-03 2.270563e+03 1.037695e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.89292e+09 rel. change during last iteration : -1.80523e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.473 variance of residuals (reduced chisquare) = WSSR/ndf : 198446 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2270.56 +/- 3.273 (0.1441%) b = 10.377 +/- 28.16 (271.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Mon Feb 24 12:17:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.7092950165e+04 0.00e+00 6.21e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.5001891171e+02 -1.52e-01 6.21e-03 2.453681e-02 2.069726e-03 2.299357e-02 After 2 iterations the fit converged. final sum of squares of residuals : 250.019 rel. change during last iteration : -1.52361e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112897 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127457 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0245368 +/- 0.001118 (4.554%) bb = 0.00206973 +/- 0.002282 (110.3%) cc = 0.0229936 +/- 0.006194 (26.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.015 1.000 cc -0.692 -0.046 1.000 ******************************************************************************* Mon Feb 24 12:17:53 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7712485904e+11 0.00e+00 1.61e+03 2.270563e+03 1.037695e+01 4 3.9915125994e+09 -1.34e-04 1.61e-01 7.676355e+03 -2.152450e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3.99151e+09 rel. change during last iteration : -1.33683e-09 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.079 variance of residuals (reduced chisquare) = WSSR/ndf : 203472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7676.35 +/- 3.313 (0.04316%) b = -21.5245 +/- 28.49 (132.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:17:55 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.9944654888e+02 0.00e+00 5.22e-02 2.453681e-02 2.069726e-03 2.299357e-02 2 2.5034473960e+02 -4.25e-02 5.22e-04 3.045737e-02 -1.176597e-03 -1.459248e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.345 rel. change during last iteration : -4.24794e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11297 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127623 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0304574 +/- 0.001041 (3.419%) bb = -0.0011766 +/- 0.0005647 (47.99%) cc = -0.00145925 +/- 0.0002919 (20%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.087 1.000 cc -0.618 0.343 1.000 ******************************************************************************* Mon Feb 24 12:17:57 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7004003410e+11 0.00e+00 5.43e+03 7.676355e+03 -2.152450e+01 2 4.0051701176e+09 -5.01e-02 5.43e+01 1.304773e+04 -2.257518e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00517e+09 rel. change during last iteration : -5.00887e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.85 variance of residuals (reduced chisquare) = WSSR/ndf : 204168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13047.7 +/- 3.319 (0.02544%) b = -22.5752 +/- 28.54 (126.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:17:58 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5200837530e+02 0.00e+00 1.77e-02 3.045737e-02 -1.176597e-03 -1.459248e-03 2 2.4879386693e+02 -3.88e-02 1.77e-04 2.186805e-02 4.030020e-03 4.979408e-03 After 2 iterations the fit converged. final sum of squares of residuals : 248.794 rel. change during last iteration : -3.87726e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11262 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126832 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0218681 +/- 0.0009806 (4.484%) bb = 0.00403002 +/- 0.0007722 (19.16%) cc = 0.00497941 +/- 0.0004081 (8.197%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.120 1.000 cc -0.475 0.371 1.000 ******************************************************************************* Mon Feb 24 12:18:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6562837956e+11 0.00e+00 9.23e+03 1.304773e+04 -2.257518e+01 2 3.9918861707e+09 -4.76e-02 9.23e+01 1.839818e+04 -2.323644e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99189e+09 rel. change during last iteration : -4.76342e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.1 variance of residuals (reduced chisquare) = WSSR/ndf : 203491 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18398.2 +/- 3.313 (0.01801%) b = -23.2364 +/- 28.5 (122.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:02 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5822445347e+02 0.00e+00 1.72e-02 2.186805e-02 4.030020e-03 4.979408e-03 2 2.4998448036e+02 -8.26e-05 1.72e-04 3.242896e-02 4.986168e-06 -1.920384e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.984 rel. change during last iteration : -8.25704e-10 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112889 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127439 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.032429 +/- 0.001109 (3.419%) bb = 4.98617e-06 +/- 0.0005074 (1.018e+04%) cc = -0.00192038 +/- 0.0002918 (15.19%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.043 1.000 cc -0.681 0.187 1.000 ******************************************************************************* Mon Feb 24 12:18:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6978244692e+11 0.00e+00 1.30e+04 1.839818e+04 -2.323644e+01 2 3.9927206193e+09 -3.51e-02 1.30e+02 2.376838e+04 -2.363841e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99272e+09 rel. change during last iteration : -3.50576e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.147 variance of residuals (reduced chisquare) = WSSR/ndf : 203534 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23768.4 +/- 3.314 (0.01394%) b = -23.6384 +/- 28.51 (120.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:05 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5220381521e+02 0.00e+00 1.89e-02 3.242896e-02 4.986168e-06 -1.920384e-03 4 2.4895020785e+02 -1.72e-01 1.89e-06 2.256479e-02 2.629895e-03 4.323093e-03 After 4 iterations the fit converged. final sum of squares of residuals : 248.95 rel. change during last iteration : -1.72104e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112655 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126912 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0225648 +/- 0.0009294 (4.119%) bb = 0.00262989 +/- 0.0007599 (28.89%) cc = 0.00432309 +/- 0.0003992 (9.234%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.002 1.000 cc -0.489 0.220 1.000 ******************************************************************************* Mon Feb 24 12:18:07 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6583368597e+11 0.00e+00 1.68e+04 2.376838e+04 -2.363841e+01 2 3.9907016877e+09 -1.82e-02 1.68e+02 2.911979e+04 -2.344966e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.9907e+09 rel. change during last iteration : -1.81889e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.033 variance of residuals (reduced chisquare) = WSSR/ndf : 203431 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29119.8 +/- 3.313 (0.01138%) b = -23.4497 +/- 28.49 (121.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Mon Feb 24 12:18:09 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5622344871e+02 0.00e+00 1.61e-02 2.256479e-02 2.629895e-03 4.323093e-03 2 2.4993986075e+02 -2.44e-04 1.61e-04 3.202806e-02 -1.009179e-03 -2.065673e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.94 rel. change during last iteration : -2.43901e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127416 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0320281 +/- 0.001051 (3.28%) bb = -0.00100918 +/- 0.0005549 (54.98%) cc = -0.00206567 +/- 0.0002987 (14.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.108 1.000 cc -0.637 0.286 1.000 ******************************************************************************* Mon Feb 24 12:18:11 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6979991134e+11 0.00e+00 2.06e+04 2.911979e+04 -2.344966e+01 2 3.9911454216e+09 -2.84e-02 2.06e+02 3.449007e+04 -2.367315e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99115e+09 rel. change during last iteration : -2.84383e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.058 variance of residuals (reduced chisquare) = WSSR/ndf : 203453 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34490.1 +/- 3.313 (0.009607%) b = -23.6732 +/- 28.49 (120.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:12 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5039472705e+02 0.00e+00 1.90e-02 3.202806e-02 -1.009179e-03 -2.065673e-03 2 2.5033835825e+02 -3.09e-04 1.90e-04 3.048806e-02 -5.232733e-04 -1.447281e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.338 rel. change during last iteration : -3.08666e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112969 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127619 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0304881 +/- 0.001041 (3.414%) bb = -0.000523273 +/- 0.0005579 (106.6%) cc = -0.00144728 +/- 0.0003057 (21.12%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.081 1.000 cc -0.631 0.193 1.000 ******************************************************************************* Mon Feb 24 12:18:14 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6576314001e+11 0.00e+00 2.44e+04 3.449007e+04 -2.367315e+01 2 3.9911463103e+09 -9.14e-03 2.44e+02 3.984115e+04 -2.367060e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99115e+09 rel. change during last iteration : -9.14496e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.058 variance of residuals (reduced chisquare) = WSSR/ndf : 203453 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39841.2 +/- 3.313 (0.008317%) b = -23.6706 +/- 28.5 (120.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Mon Feb 24 12:18:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5094013230e+02 0.00e+00 1.78e-02 3.048806e-02 -5.232733e-04 -1.447281e-03 2 2.5053835652e+02 -7.35e-03 1.78e-04 2.667814e-02 1.448804e-04 4.358551e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.538 rel. change during last iteration : -7.35252e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113014 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127721 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0266781 +/- 0.0009809 (3.677%) bb = 0.00014488 +/- 0.0006351 (438.4%) cc = 0.000435855 +/- 0.000345 (79.15%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.027 1.000 cc -0.569 0.031 1.000 ******************************************************************************* Mon Feb 24 12:18:17 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6986352300e+11 0.00e+00 2.82e+04 3.984115e+04 -2.367060e+01 2 3.9907788519e+09 -1.81e-02 2.82e+02 4.521174e+04 -2.378278e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99078e+09 rel. change during last iteration : -1.80504e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.037 variance of residuals (reduced chisquare) = WSSR/ndf : 203435 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45211.7 +/- 3.313 (0.007329%) b = -23.7828 +/- 28.5 (119.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Mon Feb 24 12:18:18 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5027809237e+02 0.00e+00 1.54e-02 2.667814e-02 1.448804e-04 4.358551e-04 2 2.4932948179e+02 -1.62e-01 1.54e-04 2.208406e-02 4.435964e-04 3.818945e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.329 rel. change during last iteration : -1.61847e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112741 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127105 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0220841 +/- 0.0009709 (4.396%) bb = 0.000443596 +/- 0.0006896 (155.5%) cc = 0.00381895 +/- 0.0003945 (10.33%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.555 -0.070 1.000 ******************************************************************************* Mon Feb 24 12:18:20 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6584041090e+11 0.00e+00 3.20e+04 4.521174e+04 -2.378278e+01 2 3.9909447679e+09 -1.73e-02 3.20e+02 5.056319e+04 -2.387812e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99094e+09 rel. change during last iteration : -1.72721e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.047 variance of residuals (reduced chisquare) = WSSR/ndf : 203443 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50563.2 +/- 3.313 (0.006553%) b = -23.8781 +/- 28.49 (119.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:22 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5364334684e+02 0.00e+00 1.48e-02 2.208406e-02 4.435964e-04 3.818945e-03 2 2.5039797797e+02 -4.01e-03 1.48e-04 2.992429e-02 1.050071e-03 -1.151570e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.398 rel. change during last iteration : -4.01477e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112982 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012765 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0299243 +/- 0.001088 (3.634%) bb = 0.00105007 +/- 0.00054 (51.42%) cc = -0.00115157 +/- 0.0003234 (28.08%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.049 1.000 cc -0.670 -0.115 1.000 ******************************************************************************* Mon Feb 24 12:18:24 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6970339508e+11 0.00e+00 3.58e+04 5.056319e+04 -2.387812e+01 2 3.9918511971e+09 -9.22e-03 3.58e+02 5.593300e+04 -2.387383e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99185e+09 rel. change during last iteration : -9.22427e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.098 variance of residuals (reduced chisquare) = WSSR/ndf : 203489 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55933 +/- 3.314 (0.005925%) b = -23.8738 +/- 28.5 (119.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Mon Feb 24 12:18:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5121609506e+02 0.00e+00 1.74e-02 2.992429e-02 1.050071e-03 -1.151570e-03 2 2.4994103967e+02 -3.31e-03 1.74e-04 2.374191e-02 1.052870e-03 2.609577e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.941 rel. change during last iteration : -3.31278e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127417 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0237419 +/- 0.0009696 (4.084%) bb = 0.00105287 +/- 0.0006779 (64.39%) cc = 0.00260958 +/- 0.000379 (14.52%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.011 1.000 cc -0.554 0.074 1.000 ******************************************************************************* Mon Feb 24 12:18:27 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6614077971e+11 0.00e+00 3.96e+04 5.593300e+04 -2.387383e+01 2 4.0041711699e+09 -9.54e-03 3.96e+02 6.128582e+04 -2.389147e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00417e+09 rel. change during last iteration : -9.53935e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.794 variance of residuals (reduced chisquare) = WSSR/ndf : 204117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61285.8 +/- 3.319 (0.005415%) b = -23.8915 +/- 28.54 (119.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5109629241e+02 0.00e+00 1.44e-02 2.374191e-02 1.052870e-03 2.609577e-03 2 2.5052610080e+02 -1.35e-03 1.44e-04 2.655397e-02 -7.235555e-04 4.236046e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.526 rel. change during last iteration : -1.35335e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113011 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127715 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.026554 +/- 0.001012 (3.812%) bb = -0.000723555 +/- 0.0006147 (84.96%) cc = 0.000423605 +/- 0.0003493 (82.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.010 1.000 cc -0.600 0.130 1.000 ******************************************************************************* Mon Feb 24 12:18:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6979875504e+11 0.00e+00 4.33e+04 6.128582e+04 -2.389147e+01 2 4.0050112882e+09 -9.40e-03 4.33e+02 6.665602e+04 -2.390320e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00501e+09 rel. change during last iteration : -9.39856e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.841 variance of residuals (reduced chisquare) = WSSR/ndf : 204160 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66656 +/- 3.319 (0.00498%) b = -23.9032 +/- 28.54 (119.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5046487047e+02 0.00e+00 1.54e-02 2.655397e-02 -7.235555e-04 4.236046e-04 2 2.5041954064e+02 -2.55e-03 1.54e-04 2.640825e-02 -1.811582e-03 5.134134e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.42 rel. change during last iteration : -2.54791e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127661 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0264082 +/- 0.001037 (3.925%) bb = -0.00181158 +/- 0.0005852 (32.3%) cc = 0.000513413 +/- 0.0003423 (66.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.015 1.000 cc -0.628 0.023 1.000 ******************************************************************************* Mon Feb 24 12:18:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6627457718e+11 0.00e+00 4.71e+04 6.665602e+04 -2.390320e+01 2 4.0215121283e+09 -1.72e-02 4.71e+02 7.200939e+04 -2.383779e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02151e+09 rel. change during last iteration : -1.72124e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.771 variance of residuals (reduced chisquare) = WSSR/ndf : 205001 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72009.4 +/- 3.326 (0.004619%) b = -23.8378 +/- 28.6 (120%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Mon Feb 24 12:18:35 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5037607166e+02 0.00e+00 1.53e-02 2.640825e-02 -1.811582e-03 5.134134e-04 2 2.5004586099e+02 -1.06e-02 1.53e-04 2.418940e-02 -1.223926e-03 2.310427e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.046 rel. change during last iteration : -1.05952e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112903 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012747 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0241894 +/- 0.0009625 (3.979%) bb = -0.00122393 +/- 0.0006778 (55.38%) cc = 0.00231043 +/- 0.0003677 (15.91%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.019 1.000 cc -0.542 -0.092 1.000 ******************************************************************************* Mon Feb 24 12:18:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6988073778e+11 0.00e+00 5.09e+04 7.200939e+04 -2.383779e+01 2 4.0206238548e+09 -9.87e-03 5.09e+02 7.737991e+04 -2.381974e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02062e+09 rel. change during last iteration : -9.86592e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.721 variance of residuals (reduced chisquare) = WSSR/ndf : 204956 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77379.9 +/- 3.326 (0.004298%) b = -23.8197 +/- 28.6 (120.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5189779480e+02 0.00e+00 1.46e-02 2.418940e-02 -1.223926e-03 2.310427e-03 2 2.5030400135e+02 -2.32e-03 1.46e-04 2.917830e-02 2.125936e-03 -8.941392e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.304 rel. change during last iteration : -2.32429e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112961 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127602 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0291783 +/- 0.001071 (3.669%) bb = 0.00212594 +/- 0.0005576 (26.23%) cc = -0.000894139 +/- 0.0003356 (37.53%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.019 1.000 cc -0.657 -0.059 1.000 ******************************************************************************* Mon Feb 24 12:18:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6510721313e+11 0.00e+00 5.47e+04 7.737991e+04 -2.381974e+01 2 3.9894513381e+09 -1.73e-02 5.47e+02 8.272788e+04 -2.387579e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98945e+09 rel. change during last iteration : -1.73041e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.962 variance of residuals (reduced chisquare) = WSSR/ndf : 203367 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82727.9 +/- 3.313 (0.004004%) b = -23.8758 +/- 28.49 (119.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Mon Feb 24 12:18:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5094045478e+02 0.00e+00 1.70e-02 2.917830e-02 2.125936e-03 -8.941392e-04 2 2.4919674283e+02 -9.98e-03 1.70e-04 2.280944e-02 3.632307e-03 3.336937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.197 rel. change during last iteration : -9.97773e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112711 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127037 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0228094 +/- 0.0009625 (4.22%) bb = 0.00363231 +/- 0.0006708 (18.47%) cc = 0.00333694 +/- 0.000365 (10.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.020 1.000 cc -0.547 0.052 1.000 ******************************************************************************* Mon Feb 24 12:18:43 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6970431691e+11 0.00e+00 5.85e+04 8.272788e+04 -2.387579e+01 2 3.9893647396e+09 -1.04e-02 5.85e+02 8.809771e+04 -2.389544e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98936e+09 rel. change during last iteration : -1.03535e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.957 variance of residuals (reduced chisquare) = WSSR/ndf : 203363 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88097.7 +/- 3.313 (0.00376%) b = -23.8954 +/- 28.49 (119.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:45 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5372597916e+02 0.00e+00 1.48e-02 2.280944e-02 3.632307e-03 3.336937e-03 2 2.5028086846e+02 -1.11e-04 1.48e-04 3.026203e-02 -1.295400e-03 -1.467050e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.281 rel. change during last iteration : -1.10506e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112956 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012759 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.030262 +/- 0.001051 (3.472%) bb = -0.0012954 +/- 0.00057 (44%) cc = -0.00146705 +/- 0.000335 (22.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.640 0.070 1.000 ******************************************************************************* Mon Feb 24 12:18:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6589902987e+11 0.00e+00 6.23e+04 8.809771e+04 -2.389544e+01 2 3.9876009431e+09 -1.49e-02 6.23e+02 9.344945e+04 -2.393685e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.9876e+09 rel. change during last iteration : -1.48937e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.858 variance of residuals (reduced chisquare) = WSSR/ndf : 203273 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93449.5 +/- 3.312 (0.003544%) b = -23.9368 +/- 28.48 (119%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Mon Feb 24 12:18:48 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5138466043e+02 0.00e+00 1.77e-02 3.026203e-02 -1.295400e-03 -1.467050e-03 2 2.4916886191e+02 -4.74e-03 1.77e-04 2.257261e-02 -3.936785e-03 3.020663e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.169 rel. change during last iteration : -4.74243e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112705 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127023 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0225726 +/- 0.000996 (4.412%) bb = -0.00393679 +/- 0.0006283 (15.96%) cc = 0.00302066 +/- 0.0003574 (11.83%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.017 1.000 cc -0.589 -0.012 1.000 ******************************************************************************* Mon Feb 24 12:18:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6971225028e+11 0.00e+00 6.61e+04 9.344945e+04 -2.393685e+01 2 3.9879401292e+09 -1.00e-02 6.61e+02 9.881933e+04 -2.395138e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98794e+09 rel. change during last iteration : -1.00068e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.877 variance of residuals (reduced chisquare) = WSSR/ndf : 203290 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98819.3 +/- 3.312 (0.003352%) b = -23.9514 +/- 28.48 (118.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5243588852e+02 0.00e+00 1.44e-02 2.257261e-02 -3.936785e-03 3.020663e-03 2 2.5045304438e+02 -5.50e-05 1.44e-04 2.910351e-02 -8.015705e-04 -9.187335e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.453 rel. change during last iteration : -5.49638e-10 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127678 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0291035 +/- 0.001014 (3.483%) bb = -0.00080157 +/- 0.0006001 (74.87%) cc = -0.000918734 +/- 0.000338 (36.79%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.604 -0.074 1.000 ******************************************************************************* Mon Feb 24 12:18:53 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6576198102e+11 0.00e+00 6.99e+04 9.881933e+04 -2.395138e+01 2 3.9790146015e+09 -1.05e-02 6.99e+02 1.041705e+05 -2.396949e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.97901e+09 rel. change during last iteration : -1.05479e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.372 variance of residuals (reduced chisquare) = WSSR/ndf : 202835 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104170 +/- 3.308 (0.003176%) b = -23.9695 +/- 28.45 (118.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Mon Feb 24 12:18:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5105972215e+02 0.00e+00 1.69e-02 2.910351e-02 -8.015705e-04 -9.187335e-04 2 2.5020737149e+02 -2.37e-02 1.69e-04 2.505893e-02 2.340542e-03 1.315569e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.207 rel. change during last iteration : -2.37001e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127553 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0250589 +/- 0.00103 (4.11%) bb = 0.00234054 +/- 0.0006012 (25.69%) cc = 0.00131557 +/- 0.0003561 (27.07%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.012 1.000 cc -0.622 -0.002 1.000 ******************************************************************************* Tue Mar 4 18:29:27 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0497171518e+11 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 3.8929218082e+09 -1.81e-03 7.12e-03 2.270563e+03 1.037695e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.89292e+09 rel. change during last iteration : -1.80523e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.473 variance of residuals (reduced chisquare) = WSSR/ndf : 198446 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2270.56 +/- 3.273 (0.1441%) b = 10.377 +/- 28.16 (271.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:29:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.7092950165e+04 0.00e+00 6.21e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.5001891171e+02 -1.52e-01 6.21e-03 2.453681e-02 2.069726e-03 2.299357e-02 After 2 iterations the fit converged. final sum of squares of residuals : 250.019 rel. change during last iteration : -1.52361e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112897 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127457 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0245368 +/- 0.001118 (4.554%) bb = 0.00206973 +/- 0.002282 (110.3%) cc = 0.0229936 +/- 0.006194 (26.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.015 1.000 cc -0.692 -0.046 1.000 ******************************************************************************* Tue Mar 4 18:29:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7712485904e+11 0.00e+00 1.61e+03 2.270563e+03 1.037695e+01 4 3.9915125994e+09 -1.34e-04 1.61e-01 7.676355e+03 -2.152450e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3.99151e+09 rel. change during last iteration : -1.33683e-09 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.079 variance of residuals (reduced chisquare) = WSSR/ndf : 203472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7676.35 +/- 3.313 (0.04316%) b = -21.5245 +/- 28.49 (132.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:29:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.9944654888e+02 0.00e+00 5.22e-02 2.453681e-02 2.069726e-03 2.299357e-02 2 2.5034473960e+02 -4.25e-02 5.22e-04 3.045737e-02 -1.176597e-03 -1.459248e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.345 rel. change during last iteration : -4.24794e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11297 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127623 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0304574 +/- 0.001041 (3.419%) bb = -0.0011766 +/- 0.0005647 (47.99%) cc = -0.00145925 +/- 0.0002919 (20%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.087 1.000 cc -0.618 0.343 1.000 ******************************************************************************* Tue Mar 4 18:29:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7004003410e+11 0.00e+00 5.43e+03 7.676355e+03 -2.152450e+01 2 4.0051701176e+09 -5.01e-02 5.43e+01 1.304773e+04 -2.257518e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00517e+09 rel. change during last iteration : -5.00887e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.85 variance of residuals (reduced chisquare) = WSSR/ndf : 204168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13047.7 +/- 3.319 (0.02544%) b = -22.5752 +/- 28.54 (126.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:29:35 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5200837530e+02 0.00e+00 1.77e-02 3.045737e-02 -1.176597e-03 -1.459248e-03 2 2.4879386693e+02 -3.88e-02 1.77e-04 2.186805e-02 4.030020e-03 4.979408e-03 After 2 iterations the fit converged. final sum of squares of residuals : 248.794 rel. change during last iteration : -3.87726e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11262 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126832 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0218681 +/- 0.0009806 (4.484%) bb = 0.00403002 +/- 0.0007722 (19.16%) cc = 0.00497941 +/- 0.0004081 (8.197%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.120 1.000 cc -0.475 0.371 1.000 ******************************************************************************* Tue Mar 4 18:29:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6562837956e+11 0.00e+00 9.23e+03 1.304773e+04 -2.257518e+01 2 3.9918861707e+09 -4.76e-02 9.23e+01 1.839818e+04 -2.323644e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99189e+09 rel. change during last iteration : -4.76342e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.1 variance of residuals (reduced chisquare) = WSSR/ndf : 203491 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18398.2 +/- 3.313 (0.01801%) b = -23.2364 +/- 28.5 (122.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:29:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5822445347e+02 0.00e+00 1.72e-02 2.186805e-02 4.030020e-03 4.979408e-03 2 2.4998448036e+02 -8.26e-05 1.72e-04 3.242896e-02 4.986168e-06 -1.920384e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.984 rel. change during last iteration : -8.25704e-10 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112889 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127439 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.032429 +/- 0.001109 (3.419%) bb = 4.98617e-06 +/- 0.0005074 (1.018e+04%) cc = -0.00192038 +/- 0.0002918 (15.19%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.043 1.000 cc -0.681 0.187 1.000 ******************************************************************************* Tue Mar 4 18:29:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6978244692e+11 0.00e+00 1.30e+04 1.839818e+04 -2.323644e+01 2 3.9927206193e+09 -3.51e-02 1.30e+02 2.376838e+04 -2.363841e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99272e+09 rel. change during last iteration : -3.50576e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.147 variance of residuals (reduced chisquare) = WSSR/ndf : 203534 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23768.4 +/- 3.314 (0.01394%) b = -23.6384 +/- 28.51 (120.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:29:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5220381521e+02 0.00e+00 1.89e-02 3.242896e-02 4.986168e-06 -1.920384e-03 4 2.4895020785e+02 -1.72e-01 1.89e-06 2.256479e-02 2.629895e-03 4.323093e-03 After 4 iterations the fit converged. final sum of squares of residuals : 248.95 rel. change during last iteration : -1.72104e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112655 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126912 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0225648 +/- 0.0009294 (4.119%) bb = 0.00262989 +/- 0.0007599 (28.89%) cc = 0.00432309 +/- 0.0003992 (9.234%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.002 1.000 cc -0.489 0.220 1.000 ******************************************************************************* Tue Mar 4 18:29:44 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6583368597e+11 0.00e+00 1.68e+04 2.376838e+04 -2.363841e+01 2 3.9907016877e+09 -1.82e-02 1.68e+02 2.911979e+04 -2.344966e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.9907e+09 rel. change during last iteration : -1.81889e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.033 variance of residuals (reduced chisquare) = WSSR/ndf : 203431 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29119.8 +/- 3.313 (0.01138%) b = -23.4497 +/- 28.49 (121.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:29:45 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5622344871e+02 0.00e+00 1.61e-02 2.256479e-02 2.629895e-03 4.323093e-03 2 2.4993986075e+02 -2.44e-04 1.61e-04 3.202806e-02 -1.009179e-03 -2.065673e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.94 rel. change during last iteration : -2.43901e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127416 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0320281 +/- 0.001051 (3.28%) bb = -0.00100918 +/- 0.0005549 (54.98%) cc = -0.00206567 +/- 0.0002987 (14.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.108 1.000 cc -0.637 0.286 1.000 ******************************************************************************* Tue Mar 4 18:29:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6979991134e+11 0.00e+00 2.06e+04 2.911979e+04 -2.344966e+01 2 3.9911454216e+09 -2.84e-02 2.06e+02 3.449007e+04 -2.367315e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99115e+09 rel. change during last iteration : -2.84383e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.058 variance of residuals (reduced chisquare) = WSSR/ndf : 203453 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34490.1 +/- 3.313 (0.009607%) b = -23.6732 +/- 28.49 (120.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:29:49 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5039472705e+02 0.00e+00 1.90e-02 3.202806e-02 -1.009179e-03 -2.065673e-03 2 2.5033835825e+02 -3.09e-04 1.90e-04 3.048806e-02 -5.232733e-04 -1.447281e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.338 rel. change during last iteration : -3.08666e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112969 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127619 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0304881 +/- 0.001041 (3.414%) bb = -0.000523273 +/- 0.0005579 (106.6%) cc = -0.00144728 +/- 0.0003057 (21.12%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.081 1.000 cc -0.631 0.193 1.000 ******************************************************************************* Tue Mar 4 18:29:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6576314001e+11 0.00e+00 2.44e+04 3.449007e+04 -2.367315e+01 2 3.9911463103e+09 -9.14e-03 2.44e+02 3.984115e+04 -2.367060e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99115e+09 rel. change during last iteration : -9.14496e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.058 variance of residuals (reduced chisquare) = WSSR/ndf : 203453 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39841.2 +/- 3.313 (0.008317%) b = -23.6706 +/- 28.5 (120.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:29:52 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5094013230e+02 0.00e+00 1.78e-02 3.048806e-02 -5.232733e-04 -1.447281e-03 2 2.5053835652e+02 -7.35e-03 1.78e-04 2.667814e-02 1.448804e-04 4.358551e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.538 rel. change during last iteration : -7.35252e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113014 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127721 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0266781 +/- 0.0009809 (3.677%) bb = 0.00014488 +/- 0.0006351 (438.4%) cc = 0.000435855 +/- 0.000345 (79.15%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.027 1.000 cc -0.569 0.031 1.000 ******************************************************************************* Tue Mar 4 18:29:54 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6986352300e+11 0.00e+00 2.82e+04 3.984115e+04 -2.367060e+01 2 3.9907788519e+09 -1.81e-02 2.82e+02 4.521174e+04 -2.378278e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99078e+09 rel. change during last iteration : -1.80504e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.037 variance of residuals (reduced chisquare) = WSSR/ndf : 203435 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45211.7 +/- 3.313 (0.007329%) b = -23.7828 +/- 28.5 (119.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:29:55 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5027809237e+02 0.00e+00 1.54e-02 2.667814e-02 1.448804e-04 4.358551e-04 2 2.4932948179e+02 -1.62e-01 1.54e-04 2.208406e-02 4.435964e-04 3.818945e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.329 rel. change during last iteration : -1.61847e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112741 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127105 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0220841 +/- 0.0009709 (4.396%) bb = 0.000443596 +/- 0.0006896 (155.5%) cc = 0.00381895 +/- 0.0003945 (10.33%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.555 -0.070 1.000 ******************************************************************************* Tue Mar 4 18:29:57 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6584041090e+11 0.00e+00 3.20e+04 4.521174e+04 -2.378278e+01 2 3.9909447679e+09 -1.73e-02 3.20e+02 5.056319e+04 -2.387812e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99094e+09 rel. change during last iteration : -1.72721e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.047 variance of residuals (reduced chisquare) = WSSR/ndf : 203443 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50563.2 +/- 3.313 (0.006553%) b = -23.8781 +/- 28.49 (119.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:29:58 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5364334684e+02 0.00e+00 1.48e-02 2.208406e-02 4.435964e-04 3.818945e-03 2 2.5039797797e+02 -4.01e-03 1.48e-04 2.992429e-02 1.050071e-03 -1.151570e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.398 rel. change during last iteration : -4.01477e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112982 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012765 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0299243 +/- 0.001088 (3.634%) bb = 0.00105007 +/- 0.00054 (51.42%) cc = -0.00115157 +/- 0.0003234 (28.08%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.049 1.000 cc -0.670 -0.115 1.000 ******************************************************************************* Tue Mar 4 18:30:00 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6970339508e+11 0.00e+00 3.58e+04 5.056319e+04 -2.387812e+01 2 3.9918511971e+09 -9.22e-03 3.58e+02 5.593300e+04 -2.387383e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99185e+09 rel. change during last iteration : -9.22427e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.098 variance of residuals (reduced chisquare) = WSSR/ndf : 203489 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55933 +/- 3.314 (0.005925%) b = -23.8738 +/- 28.5 (119.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:30:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5121609506e+02 0.00e+00 1.74e-02 2.992429e-02 1.050071e-03 -1.151570e-03 2 2.4994103967e+02 -3.31e-03 1.74e-04 2.374191e-02 1.052870e-03 2.609577e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.941 rel. change during last iteration : -3.31278e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127417 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0237419 +/- 0.0009696 (4.084%) bb = 0.00105287 +/- 0.0006779 (64.39%) cc = 0.00260958 +/- 0.000379 (14.52%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.011 1.000 cc -0.554 0.074 1.000 ******************************************************************************* Tue Mar 4 18:30:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6614077971e+11 0.00e+00 3.96e+04 5.593300e+04 -2.387383e+01 2 4.0041711699e+09 -9.54e-03 3.96e+02 6.128582e+04 -2.389147e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00417e+09 rel. change during last iteration : -9.53935e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.794 variance of residuals (reduced chisquare) = WSSR/ndf : 204117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61285.8 +/- 3.319 (0.005415%) b = -23.8915 +/- 28.54 (119.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:30:05 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5109629241e+02 0.00e+00 1.44e-02 2.374191e-02 1.052870e-03 2.609577e-03 2 2.5052610080e+02 -1.35e-03 1.44e-04 2.655397e-02 -7.235555e-04 4.236046e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.526 rel. change during last iteration : -1.35335e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113011 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127715 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.026554 +/- 0.001012 (3.812%) bb = -0.000723555 +/- 0.0006147 (84.96%) cc = 0.000423605 +/- 0.0003493 (82.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.010 1.000 cc -0.600 0.130 1.000 ******************************************************************************* Tue Mar 4 18:30:07 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6979875504e+11 0.00e+00 4.33e+04 6.128582e+04 -2.389147e+01 2 4.0050112882e+09 -9.40e-03 4.33e+02 6.665602e+04 -2.390320e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00501e+09 rel. change during last iteration : -9.39856e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.841 variance of residuals (reduced chisquare) = WSSR/ndf : 204160 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66656 +/- 3.319 (0.00498%) b = -23.9032 +/- 28.54 (119.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:30:08 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5046487047e+02 0.00e+00 1.54e-02 2.655397e-02 -7.235555e-04 4.236046e-04 2 2.5041954064e+02 -2.55e-03 1.54e-04 2.640825e-02 -1.811582e-03 5.134134e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.42 rel. change during last iteration : -2.54791e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127661 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0264082 +/- 0.001037 (3.925%) bb = -0.00181158 +/- 0.0005852 (32.3%) cc = 0.000513413 +/- 0.0003423 (66.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.015 1.000 cc -0.628 0.023 1.000 ******************************************************************************* Tue Mar 4 18:30:10 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6627457718e+11 0.00e+00 4.71e+04 6.665602e+04 -2.390320e+01 2 4.0215121283e+09 -1.72e-02 4.71e+02 7.200939e+04 -2.383779e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02151e+09 rel. change during last iteration : -1.72124e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.771 variance of residuals (reduced chisquare) = WSSR/ndf : 205001 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72009.4 +/- 3.326 (0.004619%) b = -23.8378 +/- 28.6 (120%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:30:11 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5037607166e+02 0.00e+00 1.53e-02 2.640825e-02 -1.811582e-03 5.134134e-04 2 2.5004586099e+02 -1.06e-02 1.53e-04 2.418940e-02 -1.223926e-03 2.310427e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.046 rel. change during last iteration : -1.05952e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112903 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012747 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0241894 +/- 0.0009625 (3.979%) bb = -0.00122393 +/- 0.0006778 (55.38%) cc = 0.00231043 +/- 0.0003677 (15.91%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.019 1.000 cc -0.542 -0.092 1.000 ******************************************************************************* Tue Mar 4 18:30:13 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6988073778e+11 0.00e+00 5.09e+04 7.200939e+04 -2.383779e+01 2 4.0206238548e+09 -9.87e-03 5.09e+02 7.737991e+04 -2.381974e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02062e+09 rel. change during last iteration : -9.86592e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.721 variance of residuals (reduced chisquare) = WSSR/ndf : 204956 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77379.9 +/- 3.326 (0.004298%) b = -23.8197 +/- 28.6 (120.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:30:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5189779480e+02 0.00e+00 1.46e-02 2.418940e-02 -1.223926e-03 2.310427e-03 2 2.5030400135e+02 -2.32e-03 1.46e-04 2.917830e-02 2.125936e-03 -8.941392e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.304 rel. change during last iteration : -2.32429e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112961 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127602 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0291783 +/- 0.001071 (3.669%) bb = 0.00212594 +/- 0.0005576 (26.23%) cc = -0.000894139 +/- 0.0003356 (37.53%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.019 1.000 cc -0.657 -0.059 1.000 ******************************************************************************* Tue Mar 4 18:30:16 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6510721313e+11 0.00e+00 5.47e+04 7.737991e+04 -2.381974e+01 2 3.9894513381e+09 -1.73e-02 5.47e+02 8.272788e+04 -2.387579e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98945e+09 rel. change during last iteration : -1.73041e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.962 variance of residuals (reduced chisquare) = WSSR/ndf : 203367 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82727.9 +/- 3.313 (0.004004%) b = -23.8758 +/- 28.49 (119.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:30:18 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5094045478e+02 0.00e+00 1.70e-02 2.917830e-02 2.125936e-03 -8.941392e-04 2 2.4919674283e+02 -9.98e-03 1.70e-04 2.280944e-02 3.632307e-03 3.336937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.197 rel. change during last iteration : -9.97773e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112711 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127037 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0228094 +/- 0.0009625 (4.22%) bb = 0.00363231 +/- 0.0006708 (18.47%) cc = 0.00333694 +/- 0.000365 (10.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.020 1.000 cc -0.547 0.052 1.000 ******************************************************************************* Tue Mar 4 18:30:20 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6970431691e+11 0.00e+00 5.85e+04 8.272788e+04 -2.387579e+01 2 3.9893647396e+09 -1.04e-02 5.85e+02 8.809771e+04 -2.389544e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98936e+09 rel. change during last iteration : -1.03535e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.957 variance of residuals (reduced chisquare) = WSSR/ndf : 203363 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88097.7 +/- 3.313 (0.00376%) b = -23.8954 +/- 28.49 (119.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:30:21 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5372597916e+02 0.00e+00 1.48e-02 2.280944e-02 3.632307e-03 3.336937e-03 2 2.5028086846e+02 -1.11e-04 1.48e-04 3.026203e-02 -1.295400e-03 -1.467050e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.281 rel. change during last iteration : -1.10506e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112956 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012759 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.030262 +/- 0.001051 (3.472%) bb = -0.0012954 +/- 0.00057 (44%) cc = -0.00146705 +/- 0.000335 (22.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.640 0.070 1.000 ******************************************************************************* Tue Mar 4 18:30:23 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6589902987e+11 0.00e+00 6.23e+04 8.809771e+04 -2.389544e+01 2 3.9876009431e+09 -1.49e-02 6.23e+02 9.344945e+04 -2.393685e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.9876e+09 rel. change during last iteration : -1.48937e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.858 variance of residuals (reduced chisquare) = WSSR/ndf : 203273 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93449.5 +/- 3.312 (0.003544%) b = -23.9368 +/- 28.48 (119%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:30:24 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5138466043e+02 0.00e+00 1.77e-02 3.026203e-02 -1.295400e-03 -1.467050e-03 2 2.4916886191e+02 -4.74e-03 1.77e-04 2.257261e-02 -3.936785e-03 3.020663e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.169 rel. change during last iteration : -4.74243e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112705 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127023 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0225726 +/- 0.000996 (4.412%) bb = -0.00393679 +/- 0.0006283 (15.96%) cc = 0.00302066 +/- 0.0003574 (11.83%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.017 1.000 cc -0.589 -0.012 1.000 ******************************************************************************* Tue Mar 4 18:30:26 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6971225028e+11 0.00e+00 6.61e+04 9.344945e+04 -2.393685e+01 2 3.9879401292e+09 -1.00e-02 6.61e+02 9.881933e+04 -2.395138e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98794e+09 rel. change during last iteration : -1.00068e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.877 variance of residuals (reduced chisquare) = WSSR/ndf : 203290 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98819.3 +/- 3.312 (0.003352%) b = -23.9514 +/- 28.48 (118.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:30:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5243588852e+02 0.00e+00 1.44e-02 2.257261e-02 -3.936785e-03 3.020663e-03 2 2.5045304438e+02 -5.50e-05 1.44e-04 2.910351e-02 -8.015705e-04 -9.187335e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.453 rel. change during last iteration : -5.49638e-10 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127678 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0291035 +/- 0.001014 (3.483%) bb = -0.00080157 +/- 0.0006001 (74.87%) cc = -0.000918734 +/- 0.000338 (36.79%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.604 -0.074 1.000 ******************************************************************************* Tue Mar 4 18:30:30 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6576198102e+11 0.00e+00 6.99e+04 9.881933e+04 -2.395138e+01 2 3.9790146015e+09 -1.05e-02 6.99e+02 1.041705e+05 -2.396949e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.97901e+09 rel. change during last iteration : -1.05479e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.372 variance of residuals (reduced chisquare) = WSSR/ndf : 202835 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104170 +/- 3.308 (0.003176%) b = -23.9695 +/- 28.45 (118.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:30:31 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5105972215e+02 0.00e+00 1.69e-02 2.910351e-02 -8.015705e-04 -9.187335e-04 2 2.5020737149e+02 -2.37e-02 1.69e-04 2.505893e-02 2.340542e-03 1.315569e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.207 rel. change during last iteration : -2.37001e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127553 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0250589 +/- 0.00103 (4.11%) bb = 0.00234054 +/- 0.0006012 (25.69%) cc = 0.00131557 +/- 0.0003561 (27.07%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.012 1.000 cc -0.622 -0.002 1.000 ******************************************************************************* Tue Mar 4 18:31:10 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0497171518e+11 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 3.8929218082e+09 -1.81e-03 7.12e-03 2.270563e+03 1.037695e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.89292e+09 rel. change during last iteration : -1.80523e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 445.473 variance of residuals (reduced chisquare) = WSSR/ndf : 198446 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2270.56 +/- 3.273 (0.1441%) b = 10.377 +/- 28.16 (271.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:31:12 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.7092950165e+04 0.00e+00 6.21e-01 1.000000e+00 1.000000e+00 1.000000e+00 2 2.5001891171e+02 -1.52e-01 6.21e-03 2.453681e-02 2.069726e-03 2.299357e-02 After 2 iterations the fit converged. final sum of squares of residuals : 250.019 rel. change during last iteration : -1.52361e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112897 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127457 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0245368 +/- 0.001118 (4.554%) bb = 0.00206973 +/- 0.002282 (110.3%) cc = 0.0229936 +/- 0.006194 (26.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.015 1.000 cc -0.692 -0.046 1.000 ******************************************************************************* Tue Mar 4 18:31:14 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7712485904e+11 0.00e+00 1.61e+03 2.270563e+03 1.037695e+01 4 3.9915125994e+09 -1.34e-04 1.61e-01 7.676355e+03 -2.152450e+01 After 4 iterations the fit converged. final sum of squares of residuals : 3.99151e+09 rel. change during last iteration : -1.33683e-09 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.079 variance of residuals (reduced chisquare) = WSSR/ndf : 203472 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7676.35 +/- 3.313 (0.04316%) b = -21.5245 +/- 28.49 (132.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 3.9944654888e+02 0.00e+00 5.22e-02 2.453681e-02 2.069726e-03 2.299357e-02 2 2.5034473960e+02 -4.25e-02 5.22e-04 3.045737e-02 -1.176597e-03 -1.459248e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.345 rel. change during last iteration : -4.24794e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11297 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127623 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0304574 +/- 0.001041 (3.419%) bb = -0.0011766 +/- 0.0005647 (47.99%) cc = -0.00145925 +/- 0.0002919 (20%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.087 1.000 cc -0.618 0.343 1.000 ******************************************************************************* Tue Mar 4 18:31:17 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.7004003410e+11 0.00e+00 5.43e+03 7.676355e+03 -2.152450e+01 2 4.0051701176e+09 -5.01e-02 5.43e+01 1.304773e+04 -2.257518e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00517e+09 rel. change during last iteration : -5.00887e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.85 variance of residuals (reduced chisquare) = WSSR/ndf : 204168 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13047.7 +/- 3.319 (0.02544%) b = -22.5752 +/- 28.54 (126.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:19 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5200837530e+02 0.00e+00 1.77e-02 3.045737e-02 -1.176597e-03 -1.459248e-03 2 2.4879386693e+02 -3.88e-02 1.77e-04 2.186805e-02 4.030020e-03 4.979408e-03 After 2 iterations the fit converged. final sum of squares of residuals : 248.794 rel. change during last iteration : -3.87726e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11262 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126832 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0218681 +/- 0.0009806 (4.484%) bb = 0.00403002 +/- 0.0007722 (19.16%) cc = 0.00497941 +/- 0.0004081 (8.197%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.120 1.000 cc -0.475 0.371 1.000 ******************************************************************************* Tue Mar 4 18:31:20 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6562837956e+11 0.00e+00 9.23e+03 1.304773e+04 -2.257518e+01 2 3.9918861707e+09 -4.76e-02 9.23e+01 1.839818e+04 -2.323644e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99189e+09 rel. change during last iteration : -4.76342e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.1 variance of residuals (reduced chisquare) = WSSR/ndf : 203491 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18398.2 +/- 3.313 (0.01801%) b = -23.2364 +/- 28.5 (122.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:22 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5822445347e+02 0.00e+00 1.72e-02 2.186805e-02 4.030020e-03 4.979408e-03 2 2.4998448036e+02 -8.26e-05 1.72e-04 3.242896e-02 4.986168e-06 -1.920384e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.984 rel. change during last iteration : -8.25704e-10 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112889 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127439 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.032429 +/- 0.001109 (3.419%) bb = 4.98617e-06 +/- 0.0005074 (1.018e+04%) cc = -0.00192038 +/- 0.0002918 (15.19%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.043 1.000 cc -0.681 0.187 1.000 ******************************************************************************* Tue Mar 4 18:31:24 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6978244692e+11 0.00e+00 1.30e+04 1.839818e+04 -2.323644e+01 2 3.9927206193e+09 -3.51e-02 1.30e+02 2.376838e+04 -2.363841e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99272e+09 rel. change during last iteration : -3.50576e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.147 variance of residuals (reduced chisquare) = WSSR/ndf : 203534 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23768.4 +/- 3.314 (0.01394%) b = -23.6384 +/- 28.51 (120.6%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:25 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5220381521e+02 0.00e+00 1.89e-02 3.242896e-02 4.986168e-06 -1.920384e-03 4 2.4895020785e+02 -1.72e-01 1.89e-06 2.256479e-02 2.629895e-03 4.323093e-03 After 4 iterations the fit converged. final sum of squares of residuals : 248.95 rel. change during last iteration : -1.72104e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112655 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0126912 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0225648 +/- 0.0009294 (4.119%) bb = 0.00262989 +/- 0.0007599 (28.89%) cc = 0.00432309 +/- 0.0003992 (9.234%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.002 1.000 cc -0.489 0.220 1.000 ******************************************************************************* Tue Mar 4 18:31:27 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6583368597e+11 0.00e+00 1.68e+04 2.376838e+04 -2.363841e+01 2 3.9907016877e+09 -1.82e-02 1.68e+02 2.911979e+04 -2.344966e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.9907e+09 rel. change during last iteration : -1.81889e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.033 variance of residuals (reduced chisquare) = WSSR/ndf : 203431 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29119.8 +/- 3.313 (0.01138%) b = -23.4497 +/- 28.49 (121.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:31:29 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5622344871e+02 0.00e+00 1.61e-02 2.256479e-02 2.629895e-03 4.323093e-03 2 2.4993986075e+02 -2.44e-04 1.61e-04 3.202806e-02 -1.009179e-03 -2.065673e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.94 rel. change during last iteration : -2.43901e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127416 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0320281 +/- 0.001051 (3.28%) bb = -0.00100918 +/- 0.0005549 (54.98%) cc = -0.00206567 +/- 0.0002987 (14.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.108 1.000 cc -0.637 0.286 1.000 ******************************************************************************* Tue Mar 4 18:31:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6979991134e+11 0.00e+00 2.06e+04 2.911979e+04 -2.344966e+01 2 3.9911454216e+09 -2.84e-02 2.06e+02 3.449007e+04 -2.367315e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99115e+09 rel. change during last iteration : -2.84383e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.058 variance of residuals (reduced chisquare) = WSSR/ndf : 203453 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 34490.1 +/- 3.313 (0.009607%) b = -23.6732 +/- 28.49 (120.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:32 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5039472705e+02 0.00e+00 1.90e-02 3.202806e-02 -1.009179e-03 -2.065673e-03 2 2.5033835825e+02 -3.09e-04 1.90e-04 3.048806e-02 -5.232733e-04 -1.447281e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.338 rel. change during last iteration : -3.08666e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112969 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127619 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0304881 +/- 0.001041 (3.414%) bb = -0.000523273 +/- 0.0005579 (106.6%) cc = -0.00144728 +/- 0.0003057 (21.12%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.081 1.000 cc -0.631 0.193 1.000 ******************************************************************************* Tue Mar 4 18:31:34 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6576314001e+11 0.00e+00 2.44e+04 3.449007e+04 -2.367315e+01 2 3.9911463103e+09 -9.14e-03 2.44e+02 3.984115e+04 -2.367060e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99115e+09 rel. change during last iteration : -9.14496e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.058 variance of residuals (reduced chisquare) = WSSR/ndf : 203453 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 39841.2 +/- 3.313 (0.008317%) b = -23.6706 +/- 28.5 (120.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:31:35 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5094013230e+02 0.00e+00 1.78e-02 3.048806e-02 -5.232733e-04 -1.447281e-03 2 2.5053835652e+02 -7.35e-03 1.78e-04 2.667814e-02 1.448804e-04 4.358551e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.538 rel. change during last iteration : -7.35252e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113014 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127721 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0266781 +/- 0.0009809 (3.677%) bb = 0.00014488 +/- 0.0006351 (438.4%) cc = 0.000435855 +/- 0.000345 (79.15%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.027 1.000 cc -0.569 0.031 1.000 ******************************************************************************* Tue Mar 4 18:31:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6986352300e+11 0.00e+00 2.82e+04 3.984115e+04 -2.367060e+01 2 3.9907788519e+09 -1.81e-02 2.82e+02 4.521174e+04 -2.378278e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99078e+09 rel. change during last iteration : -1.80504e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.037 variance of residuals (reduced chisquare) = WSSR/ndf : 203435 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 45211.7 +/- 3.313 (0.007329%) b = -23.7828 +/- 28.5 (119.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:31:38 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5027809237e+02 0.00e+00 1.54e-02 2.667814e-02 1.448804e-04 4.358551e-04 2 2.4932948179e+02 -1.62e-01 1.54e-04 2.208406e-02 4.435964e-04 3.818945e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.329 rel. change during last iteration : -1.61847e-06 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112741 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127105 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0220841 +/- 0.0009709 (4.396%) bb = 0.000443596 +/- 0.0006896 (155.5%) cc = 0.00381895 +/- 0.0003945 (10.33%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.028 1.000 cc -0.555 -0.070 1.000 ******************************************************************************* Tue Mar 4 18:31:40 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6584041090e+11 0.00e+00 3.20e+04 4.521174e+04 -2.378278e+01 2 3.9909447679e+09 -1.73e-02 3.20e+02 5.056319e+04 -2.387812e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99094e+09 rel. change during last iteration : -1.72721e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.047 variance of residuals (reduced chisquare) = WSSR/ndf : 203443 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 50563.2 +/- 3.313 (0.006553%) b = -23.8781 +/- 28.49 (119.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:41 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5364334684e+02 0.00e+00 1.48e-02 2.208406e-02 4.435964e-04 3.818945e-03 2 2.5039797797e+02 -4.01e-03 1.48e-04 2.992429e-02 1.050071e-03 -1.151570e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.398 rel. change during last iteration : -4.01477e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112982 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012765 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0299243 +/- 0.001088 (3.634%) bb = 0.00105007 +/- 0.00054 (51.42%) cc = -0.00115157 +/- 0.0003234 (28.08%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.049 1.000 cc -0.670 -0.115 1.000 ******************************************************************************* Tue Mar 4 18:31:43 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6970339508e+11 0.00e+00 3.58e+04 5.056319e+04 -2.387812e+01 2 3.9918511971e+09 -9.22e-03 3.58e+02 5.593300e+04 -2.387383e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.99185e+09 rel. change during last iteration : -9.22427e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.098 variance of residuals (reduced chisquare) = WSSR/ndf : 203489 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 55933 +/- 3.314 (0.005925%) b = -23.8738 +/- 28.5 (119.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:31:45 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5121609506e+02 0.00e+00 1.74e-02 2.992429e-02 1.050071e-03 -1.151570e-03 2 2.4994103967e+02 -3.31e-03 1.74e-04 2.374191e-02 1.052870e-03 2.609577e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.941 rel. change during last iteration : -3.31278e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112879 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127417 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0237419 +/- 0.0009696 (4.084%) bb = 0.00105287 +/- 0.0006779 (64.39%) cc = 0.00260958 +/- 0.000379 (14.52%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.011 1.000 cc -0.554 0.074 1.000 ******************************************************************************* Tue Mar 4 18:31:47 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6614077971e+11 0.00e+00 3.96e+04 5.593300e+04 -2.387383e+01 2 4.0041711699e+09 -9.54e-03 3.96e+02 6.128582e+04 -2.389147e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00417e+09 rel. change during last iteration : -9.53935e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.794 variance of residuals (reduced chisquare) = WSSR/ndf : 204117 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 61285.8 +/- 3.319 (0.005415%) b = -23.8915 +/- 28.54 (119.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:48 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5109629241e+02 0.00e+00 1.44e-02 2.374191e-02 1.052870e-03 2.609577e-03 2 2.5052610080e+02 -1.35e-03 1.44e-04 2.655397e-02 -7.235555e-04 4.236046e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.526 rel. change during last iteration : -1.35335e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.113011 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127715 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.026554 +/- 0.001012 (3.812%) bb = -0.000723555 +/- 0.0006147 (84.96%) cc = 0.000423605 +/- 0.0003493 (82.46%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.010 1.000 cc -0.600 0.130 1.000 ******************************************************************************* Tue Mar 4 18:31:50 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6979875504e+11 0.00e+00 4.33e+04 6.128582e+04 -2.389147e+01 2 4.0050112882e+09 -9.40e-03 4.33e+02 6.665602e+04 -2.390320e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.00501e+09 rel. change during last iteration : -9.39856e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 451.841 variance of residuals (reduced chisquare) = WSSR/ndf : 204160 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 66656 +/- 3.319 (0.00498%) b = -23.9032 +/- 28.54 (119.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5046487047e+02 0.00e+00 1.54e-02 2.655397e-02 -7.235555e-04 4.236046e-04 2 2.5041954064e+02 -2.55e-03 1.54e-04 2.640825e-02 -1.811582e-03 5.134134e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.42 rel. change during last iteration : -2.54791e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112987 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127661 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0264082 +/- 0.001037 (3.925%) bb = -0.00181158 +/- 0.0005852 (32.3%) cc = 0.000513413 +/- 0.0003423 (66.68%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.015 1.000 cc -0.628 0.023 1.000 ******************************************************************************* Tue Mar 4 18:31:53 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6627457718e+11 0.00e+00 4.71e+04 6.665602e+04 -2.390320e+01 2 4.0215121283e+09 -1.72e-02 4.71e+02 7.200939e+04 -2.383779e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02151e+09 rel. change during last iteration : -1.72124e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.771 variance of residuals (reduced chisquare) = WSSR/ndf : 205001 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 72009.4 +/- 3.326 (0.004619%) b = -23.8378 +/- 28.6 (120%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:31:54 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5037607166e+02 0.00e+00 1.53e-02 2.640825e-02 -1.811582e-03 5.134134e-04 2 2.5004586099e+02 -1.06e-02 1.53e-04 2.418940e-02 -1.223926e-03 2.310427e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.046 rel. change during last iteration : -1.05952e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112903 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012747 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0241894 +/- 0.0009625 (3.979%) bb = -0.00122393 +/- 0.0006778 (55.38%) cc = 0.00231043 +/- 0.0003677 (15.91%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.019 1.000 cc -0.542 -0.092 1.000 ******************************************************************************* Tue Mar 4 18:31:56 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6988073778e+11 0.00e+00 5.09e+04 7.200939e+04 -2.383779e+01 2 4.0206238548e+09 -9.87e-03 5.09e+02 7.737991e+04 -2.381974e+01 After 2 iterations the fit converged. final sum of squares of residuals : 4.02062e+09 rel. change during last iteration : -9.86592e-08 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 452.721 variance of residuals (reduced chisquare) = WSSR/ndf : 204956 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 77379.9 +/- 3.326 (0.004298%) b = -23.8197 +/- 28.6 (120.1%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:31:57 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5189779480e+02 0.00e+00 1.46e-02 2.418940e-02 -1.223926e-03 2.310427e-03 2 2.5030400135e+02 -2.32e-03 1.46e-04 2.917830e-02 2.125936e-03 -8.941392e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.304 rel. change during last iteration : -2.32429e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112961 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127602 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0291783 +/- 0.001071 (3.669%) bb = 0.00212594 +/- 0.0005576 (26.23%) cc = -0.000894139 +/- 0.0003356 (37.53%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.019 1.000 cc -0.657 -0.059 1.000 ******************************************************************************* Tue Mar 4 18:31:59 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6510721313e+11 0.00e+00 5.47e+04 7.737991e+04 -2.381974e+01 2 3.9894513381e+09 -1.73e-02 5.47e+02 8.272788e+04 -2.387579e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98945e+09 rel. change during last iteration : -1.73041e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.962 variance of residuals (reduced chisquare) = WSSR/ndf : 203367 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 82727.9 +/- 3.313 (0.004004%) b = -23.8758 +/- 28.49 (119.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:32:01 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5094045478e+02 0.00e+00 1.70e-02 2.917830e-02 2.125936e-03 -8.941392e-04 2 2.4919674283e+02 -9.98e-03 1.70e-04 2.280944e-02 3.632307e-03 3.336937e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.197 rel. change during last iteration : -9.97773e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112711 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127037 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0228094 +/- 0.0009625 (4.22%) bb = 0.00363231 +/- 0.0006708 (18.47%) cc = 0.00333694 +/- 0.000365 (10.94%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.020 1.000 cc -0.547 0.052 1.000 ******************************************************************************* Tue Mar 4 18:32:03 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6970431691e+11 0.00e+00 5.85e+04 8.272788e+04 -2.387579e+01 2 3.9893647396e+09 -1.04e-02 5.85e+02 8.809771e+04 -2.389544e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98936e+09 rel. change during last iteration : -1.03535e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.957 variance of residuals (reduced chisquare) = WSSR/ndf : 203363 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 88097.7 +/- 3.313 (0.00376%) b = -23.8954 +/- 28.49 (119.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:32:04 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5372597916e+02 0.00e+00 1.48e-02 2.280944e-02 3.632307e-03 3.336937e-03 2 2.5028086846e+02 -1.11e-04 1.48e-04 3.026203e-02 -1.295400e-03 -1.467050e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.281 rel. change during last iteration : -1.10506e-09 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112956 variance of residuals (reduced chisquare) = WSSR/ndf : 0.012759 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.030262 +/- 0.001051 (3.472%) bb = -0.0012954 +/- 0.00057 (44%) cc = -0.00146705 +/- 0.000335 (22.84%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.640 0.070 1.000 ******************************************************************************* Tue Mar 4 18:32:06 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6589902987e+11 0.00e+00 6.23e+04 8.809771e+04 -2.389544e+01 2 3.9876009431e+09 -1.49e-02 6.23e+02 9.344945e+04 -2.393685e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.9876e+09 rel. change during last iteration : -1.48937e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.858 variance of residuals (reduced chisquare) = WSSR/ndf : 203273 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 93449.5 +/- 3.312 (0.003544%) b = -23.9368 +/- 28.48 (119%) correlation matrix of the fit parameters: a b a 1.000 b -0.236 1.000 ******************************************************************************* Tue Mar 4 18:32:07 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5138466043e+02 0.00e+00 1.77e-02 3.026203e-02 -1.295400e-03 -1.467050e-03 2 2.4916886191e+02 -4.74e-03 1.77e-04 2.257261e-02 -3.936785e-03 3.020663e-03 After 2 iterations the fit converged. final sum of squares of residuals : 249.169 rel. change during last iteration : -4.74243e-08 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112705 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127023 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0225726 +/- 0.000996 (4.412%) bb = -0.00393679 +/- 0.0006283 (15.96%) cc = 0.00302066 +/- 0.0003574 (11.83%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.017 1.000 cc -0.589 -0.012 1.000 ******************************************************************************* Tue Mar 4 18:32:09 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6971225028e+11 0.00e+00 6.61e+04 9.344945e+04 -2.393685e+01 2 3.9879401292e+09 -1.00e-02 6.61e+02 9.881933e+04 -2.395138e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.98794e+09 rel. change during last iteration : -1.00068e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.877 variance of residuals (reduced chisquare) = WSSR/ndf : 203290 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 98819.3 +/- 3.312 (0.003352%) b = -23.9514 +/- 28.48 (118.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:32:10 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5243588852e+02 0.00e+00 1.44e-02 2.257261e-02 -3.936785e-03 3.020663e-03 2 2.5045304438e+02 -5.50e-05 1.44e-04 2.910351e-02 -8.015705e-04 -9.187335e-04 After 2 iterations the fit converged. final sum of squares of residuals : 250.453 rel. change during last iteration : -5.49638e-10 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112995 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127678 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0291035 +/- 0.001014 (3.483%) bb = -0.00080157 +/- 0.0006001 (74.87%) cc = -0.000918734 +/- 0.000338 (36.79%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.009 1.000 cc -0.604 -0.074 1.000 ******************************************************************************* Tue Mar 4 18:32:12 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 5.6576198102e+11 0.00e+00 6.99e+04 9.881933e+04 -2.395138e+01 2 3.9790146015e+09 -1.05e-02 6.99e+02 1.041705e+05 -2.396949e+01 After 2 iterations the fit converged. final sum of squares of residuals : 3.97901e+09 rel. change during last iteration : -1.05479e-07 degrees of freedom (FIT_NDF) : 19617 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 450.372 variance of residuals (reduced chisquare) = WSSR/ndf : 202835 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 104170 +/- 3.308 (0.003176%) b = -23.9695 +/- 28.45 (118.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.235 1.000 ******************************************************************************* Tue Mar 4 18:32:13 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 19619 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 2.5105972215e+02 0.00e+00 1.69e-02 2.910351e-02 -8.015705e-04 -9.187335e-04 2 2.5020737149e+02 -2.37e-02 1.69e-04 2.505893e-02 2.340542e-03 1.315569e-03 After 2 iterations the fit converged. final sum of squares of residuals : 250.207 rel. change during last iteration : -2.37001e-07 degrees of freedom (FIT_NDF) : 19616 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.112939 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0127553 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0250589 +/- 0.00103 (4.11%) bb = 0.00234054 +/- 0.0006012 (25.69%) cc = 0.00131557 +/- 0.0003561 (27.07%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.012 1.000 cc -0.622 -0.002 1.000