******************************************************************************* Tue Jul 9 15:49:11 2024 FIT: data read from 'all_phase_space_at_17868_ns.dat' u 6:9 format = x:z #datapoints = 2251 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 2.2463419443e+03 0.00e+00 5.77e-01 1.000000e+00 1.000000e+00 1.000000e+00 5 2.9657044816e-03 -9.04e-04 5.77e-06 2.499657e-04 -4.695165e-04 1.353880e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.0029657 rel. change during last iteration : -9.03511e-09 degrees of freedom (FIT_NDF) : 2248 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00114859 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31926e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000249966 +/- 3.057e-05 (12.23%) b = -0.000469517 +/- 0.001808 (385.1%) c = 0.135388 +/- 0.1023 (75.58%) correlation matrix of the fit parameters: a b c a 1.000 b -0.026 1.000 c -0.607 0.142 1.000 ******************************************************************************* Fri May 16 19:49:25 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.9605140629e+11 0.00e+00 7.12e-01 1.000000e+00 1.000000e+00 2 7.0886719244e+09 -5.23e-04 7.12e-03 2.269312e+03 8.555295e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.08867e+09 rel. change during last iteration : -5.23451e-09 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 439.383 variance of residuals (reduced chisquare) = WSSR/ndf : 193057 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2269.31 +/- 2.34 (0.1031%) b = 8.5553 +/- 19.93 (232.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.200 1.000 ******************************************************************************* Fri May 16 19:49:28 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 1.5881832926e+05 0.00e+00 1.00e+00 1.000000e+00 1.000000e+00 1.000000e+00 2 4.8366863242e+02 -1.42e-02 1.00e-02 2.989674e-02 1.862158e-03 -9.002071e-03 After 2 iterations the fit converged. final sum of squares of residuals : 483.669 rel. change during last iteration : -1.42042e-07 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114773 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0131729 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0298967 +/- 0.000765 (2.559%) bb = 0.00186216 +/- 0.0007114 (38.2%) cc = -0.00900207 +/- 0.0006713 (7.457%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.003 1.000 cc -0.622 0.010 1.000 ******************************************************************************* Fri May 16 19:49:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0733807090e+11 0.00e+00 1.60e+03 2.269312e+03 8.555295e+00 2 7.2061760835e+09 -3.76e-02 1.60e+01 3.920610e+03 1.009518e+01 After 2 iterations the fit converged. final sum of squares of residuals : 7.20618e+09 rel. change during last iteration : -3.75964e-07 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 443.009 variance of residuals (reduced chisquare) = WSSR/ndf : 196257 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 3920.61 +/- 2.359 (0.06016%) b = 10.0952 +/- 20.08 (198.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:49:33 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 5.2514253214e+02 0.00e+00 2.41e-02 2.989674e-02 1.862158e-03 -9.002071e-03 2 4.8431617033e+02 -6.01e-04 2.41e-04 1.856348e-02 4.020498e-03 3.388605e-03 After 2 iterations the fit converged. final sum of squares of residuals : 484.316 rel. change during last iteration : -6.01318e-09 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11485 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0131905 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0185635 +/- 0.0007357 (3.963%) bb = 0.0040205 +/- 0.0005106 (12.7%) cc = 0.0033886 +/- 0.0002542 (7.502%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.014 1.000 cc -0.526 0.445 1.000 ******************************************************************************* Fri May 16 19:49:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0196926407e+11 0.00e+00 2.77e+03 3.920610e+03 1.009518e+01 2 7.1713987817e+09 -3.04e-01 2.77e+01 5.527436e+03 6.734373e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.1714e+09 rel. change during last iteration : -3.04406e-06 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 441.939 variance of residuals (reduced chisquare) = WSSR/ndf : 195310 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5527.44 +/- 2.353 (0.04257%) b = 6.73437 +/- 20.03 (297.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:49:39 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.9061106653e+02 0.00e+00 1.40e-02 1.856348e-02 4.020498e-03 3.388605e-03 2 4.8653279089e+02 -7.09e-06 1.40e-04 2.361993e-02 1.257836e-03 1.729498e-05 After 2 iterations the fit converged. final sum of squares of residuals : 486.533 rel. change during last iteration : -7.09089e-11 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115112 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132509 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0236199 +/- 0.000788 (3.336%) bb = 0.00125784 +/- 0.000398 (31.64%) cc = 1.7295e-05 +/- 0.000202 (1168%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.096 1.000 cc -0.634 0.344 1.000 ******************************************************************************* Fri May 16 19:49:43 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0270138498e+11 0.00e+00 3.91e+03 5.527436e+03 6.734373e+00 2 7.1981742111e+09 -1.92e-03 3.91e+01 7.140155e+03 6.603833e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.19817e+09 rel. change during last iteration : -1.91901e-08 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 442.763 variance of residuals (reduced chisquare) = WSSR/ndf : 196039 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 7140.15 +/- 2.358 (0.03302%) b = 6.60383 +/- 20.07 (303.9%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:49:45 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8712752669e+02 0.00e+00 1.37e-02 2.361993e-02 1.257836e-03 1.729498e-05 3 4.8629062202e+02 -3.07e-02 1.37e-05 2.581924e-02 -1.611603e-03 -1.237757e-03 After 3 iterations the fit converged. final sum of squares of residuals : 486.291 rel. change during last iteration : -3.06523e-07 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115084 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132443 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0258192 +/- 0.0008022 (3.107%) bb = -0.0016116 +/- 0.0004152 (25.76%) cc = -0.00123776 +/- 0.0002477 (20.01%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.054 1.000 cc -0.660 0.175 1.000 ******************************************************************************* Fri May 16 19:49:49 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0182306194e+11 0.00e+00 5.05e+03 7.140155e+03 6.603833e+00 2 7.1700151696e+09 -6.15e-02 5.05e+01 8.745690e+03 5.996868e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.17002e+09 rel. change during last iteration : -6.14846e-07 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 441.896 variance of residuals (reduced chisquare) = WSSR/ndf : 195272 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8745.69 +/- 2.353 (0.0269%) b = 5.99687 +/- 20.03 (334%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:49:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8854654668e+02 0.00e+00 1.51e-02 2.581924e-02 -1.611603e-03 -1.237757e-03 2 4.8405924025e+02 -4.38e-03 1.51e-04 1.909729e-02 5.753046e-03 4.221619e-03 After 2 iterations the fit converged. final sum of squares of residuals : 484.059 rel. change during last iteration : -4.38091e-08 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11482 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0131835 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0190973 +/- 0.0007516 (3.936%) bb = 0.00575305 +/- 0.0005646 (9.814%) cc = 0.00422162 +/- 0.000314 (7.439%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.034 1.000 cc -0.523 0.451 1.000 ******************************************************************************* Fri May 16 19:49:55 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0272934369e+11 0.00e+00 6.18e+03 8.745690e+03 5.996868e+00 2 7.2032090968e+09 -2.89e-02 6.18e+01 1.035859e+04 6.308209e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.20321e+09 rel. change during last iteration : -2.8916e-07 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 442.918 variance of residuals (reduced chisquare) = WSSR/ndf : 196177 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 10358.6 +/- 2.358 (0.02277%) b = 6.30821 +/- 20.07 (318.2%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:49:57 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.9086534351e+02 0.00e+00 1.45e-02 1.909729e-02 5.753046e-03 4.221619e-03 2 4.8656769017e+02 -5.32e-06 1.45e-04 2.160605e-02 6.009233e-04 9.274901e-04 After 2 iterations the fit converged. final sum of squares of residuals : 486.568 rel. change during last iteration : -5.32334e-11 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115117 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132518 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.021606 +/- 0.000739 (3.42%) bb = 0.000600923 +/- 0.0004408 (73.36%) cc = 0.00092749 +/- 0.0002246 (24.22%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.022 1.000 cc -0.575 0.190 1.000 ******************************************************************************* Fri May 16 19:50:01 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0187166530e+11 0.00e+00 7.32e+03 1.035859e+04 6.308209e+00 2 7.1697506798e+09 -1.54e-03 7.32e+01 1.196452e+04 6.366979e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.16975e+09 rel. change during last iteration : -1.53971e-08 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 441.888 variance of residuals (reduced chisquare) = WSSR/ndf : 195265 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 11964.5 +/- 2.353 (0.01966%) b = 6.36698 +/- 20.03 (314.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.198 1.000 ******************************************************************************* Fri May 16 19:50:03 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8801900593e+02 0.00e+00 1.27e-02 2.160605e-02 6.009233e-04 9.274901e-04 2 4.8600769711e+02 -2.70e-03 1.27e-04 2.703258e-02 -1.603136e-03 -1.623893e-03 After 2 iterations the fit converged. final sum of squares of residuals : 486.008 rel. change during last iteration : -2.70271e-08 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.11505 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132366 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0270326 +/- 0.0007988 (2.955%) bb = -0.00160314 +/- 0.0003925 (24.48%) cc = -0.00162389 +/- 0.0002137 (13.16%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.036 1.000 cc -0.649 0.230 1.000 ******************************************************************************* Fri May 16 19:50:06 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0266751253e+11 0.00e+00 8.46e+03 1.196452e+04 6.366979e+00 2 7.1969434829e+09 -6.06e-04 8.46e+01 1.357696e+04 6.339825e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.19694e+09 rel. change during last iteration : -6.05591e-09 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 442.726 variance of residuals (reduced chisquare) = WSSR/ndf : 196006 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 13577 +/- 2.357 (0.01736%) b = 6.33982 +/- 20.07 (316.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:50:09 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8729921837e+02 0.00e+00 1.60e-02 2.703258e-02 -1.603136e-03 -1.623893e-03 2 4.8632418987e+02 -6.73e-04 1.60e-04 2.455567e-02 2.346145e-03 -1.459069e-04 After 2 iterations the fit converged. final sum of squares of residuals : 486.324 rel. change during last iteration : -6.72577e-09 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115088 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132452 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0245557 +/- 0.000794 (3.234%) bb = 0.00234615 +/- 0.00048 (20.46%) cc = -0.000145907 +/- 0.0002714 (186%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.091 1.000 cc -0.619 0.453 1.000 ******************************************************************************* Fri May 16 19:50:12 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0189463980e+11 0.00e+00 9.60e+03 1.357696e+04 6.339825e+00 2 7.1746093416e+09 -3.40e-04 9.60e+01 1.518305e+04 6.352123e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.17461e+09 rel. change during last iteration : -3.40392e-09 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 442.038 variance of residuals (reduced chisquare) = WSSR/ndf : 195398 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 15183.1 +/- 2.354 (0.0155%) b = 6.35212 +/- 20.04 (315.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:50:15 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8761739321e+02 0.00e+00 1.43e-02 2.455567e-02 2.346145e-03 -1.459069e-04 3 4.8442569937e+02 -3.86e-07 1.43e-05 1.765841e-02 4.430856e-05 3.535938e-03 After 3 iterations the fit converged. final sum of squares of residuals : 484.426 rel. change during last iteration : -3.85832e-12 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114863 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0131935 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0176584 +/- 0.0007381 (4.18%) bb = 4.43086e-05 +/- 0.0004856 (1096%) cc = 0.00353594 +/- 0.0002735 (7.734%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.048 1.000 cc -0.579 0.207 1.000 ******************************************************************************* Fri May 16 19:50:19 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0251666529e+11 0.00e+00 1.07e+04 1.518305e+04 6.352123e+00 2 7.1829630498e+09 -6.14e-04 1.07e+02 1.679434e+04 6.330506e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.18296e+09 rel. change during last iteration : -6.13626e-09 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 442.295 variance of residuals (reduced chisquare) = WSSR/ndf : 195625 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 16794.3 +/- 2.355 (0.01402%) b = 6.33051 +/- 20.05 (316.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:50:21 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.9074818899e+02 0.00e+00 1.27e-02 1.765841e-02 4.430856e-05 3.535938e-03 2 4.8672666384e+02 -2.90e-03 1.27e-04 2.314393e-02 1.824111e-05 8.355052e-05 After 2 iterations the fit converged. final sum of squares of residuals : 486.727 rel. change during last iteration : -2.90132e-08 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115135 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132562 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0231439 +/- 0.0007502 (3.241%) bb = 1.82411e-05 +/- 0.0004383 (2403%) cc = 8.35505e-05 +/- 0.0002139 (256%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.002 1.000 cc -0.567 0.324 1.000 ******************************************************************************* Fri May 16 19:50:25 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0224161413e+11 0.00e+00 1.19e+04 1.679434e+04 6.330506e+00 2 7.1829574099e+09 -4.54e-04 1.19e+02 1.840329e+04 6.315812e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.18296e+09 rel. change during last iteration : -4.54292e-09 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 442.295 variance of residuals (reduced chisquare) = WSSR/ndf : 195625 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 18403.3 +/- 2.355 (0.0128%) b = 6.31581 +/- 20.05 (317.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:50:27 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8678721977e+02 0.00e+00 1.34e-02 2.314393e-02 1.824111e-05 8.355052e-05 3 4.8555729424e+02 -2.90e-02 1.34e-05 2.760674e-02 7.420428e-04 -1.692797e-03 After 3 iterations the fit converged. final sum of squares of residuals : 485.557 rel. change during last iteration : -2.90345e-07 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.114997 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132243 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0276067 +/- 0.0007824 (2.834%) bb = 0.000742043 +/- 0.0004391 (59.18%) cc = -0.0016928 +/- 0.0002272 (13.42%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.139 1.000 cc -0.624 0.438 1.000 ******************************************************************************* Fri May 16 19:50:31 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0214252392e+11 0.00e+00 1.30e+04 1.840329e+04 6.315812e+00 2 7.1729759683e+09 -3.91e-03 1.30e+02 2.001150e+04 6.371839e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.17298e+09 rel. change during last iteration : -3.90728e-08 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 441.988 variance of residuals (reduced chisquare) = WSSR/ndf : 195353 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 20011.5 +/- 2.353 (0.01176%) b = 6.37184 +/- 20.03 (314.4%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:50:33 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8830107750e+02 0.00e+00 1.62e-02 2.760674e-02 7.420428e-04 -1.692797e-03 2 4.8628489616e+02 -5.12e-03 1.62e-04 2.158221e-02 -1.975510e-03 7.711920e-04 After 2 iterations the fit converged. final sum of squares of residuals : 486.285 rel. change during last iteration : -5.12377e-08 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115083 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132441 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0215822 +/- 0.0007796 (3.612%) bb = -0.00197551 +/- 0.000455 (23.03%) cc = 0.000771192 +/- 0.000273 (35.4%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.057 1.000 cc -0.631 0.227 1.000 ******************************************************************************* Fri May 16 19:50:37 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0234182521e+11 0.00e+00 1.42e+04 2.001150e+04 6.371839e+00 2 7.1816427698e+09 -2.10e-03 1.42e+02 2.162131e+04 6.408865e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.18164e+09 rel. change during last iteration : -2.0998e-08 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 442.255 variance of residuals (reduced chisquare) = WSSR/ndf : 195589 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 21621.3 +/- 2.355 (0.01089%) b = 6.40886 +/- 20.05 (312.8%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:50:39 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8731355714e+02 0.00e+00 1.26e-02 2.158221e-02 -1.975510e-03 7.711920e-04 2 4.8565054503e+02 -4.02e-04 1.26e-04 2.084581e-02 3.500137e-03 1.989797e-03 After 2 iterations the fit converged. final sum of squares of residuals : 485.651 rel. change during last iteration : -4.01526e-09 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115008 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132269 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0208458 +/- 0.0007446 (3.572%) bb = 0.00350014 +/- 0.0004902 (14.01%) cc = 0.0019898 +/- 0.0002494 (12.53%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.001 1.000 cc -0.544 0.394 1.000 ******************************************************************************* Fri May 16 19:50:42 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0207305162e+11 0.00e+00 1.53e+04 2.162131e+04 6.408865e+00 2 7.1688073120e+09 -9.32e-04 1.53e+02 2.322896e+04 6.429828e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.16881e+09 rel. change during last iteration : -9.31988e-09 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 441.859 variance of residuals (reduced chisquare) = WSSR/ndf : 195240 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 23229 +/- 2.353 (0.01013%) b = 6.42983 +/- 20.03 (311.5%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:50:45 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8852590530e+02 0.00e+00 1.31e-02 2.084581e-02 3.500137e-03 1.989797e-03 2 4.8670823316e+02 -1.61e-05 1.31e-04 2.429732e-02 6.751519e-04 -3.719671e-04 After 2 iterations the fit converged. final sum of squares of residuals : 486.708 rel. change during last iteration : -1.6139e-10 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115133 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132557 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0242973 +/- 0.0007544 (3.105%) bb = 0.000675152 +/- 0.0004285 (63.47%) cc = -0.000371967 +/- 0.0002132 (57.33%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.084 1.000 cc -0.594 0.322 1.000 ******************************************************************************* Fri May 16 19:50:48 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.8742019244e+11 0.00e+00 1.64e+04 2.322896e+04 6.429828e+00 2 7.1668434835e+09 -9.96e-04 1.64e+02 2.644695e+04 6.432484e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.16684e+09 rel. change during last iteration : -9.96297e-09 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 441.799 variance of residuals (reduced chisquare) = WSSR/ndf : 195186 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 26447 +/- 2.352 (0.008895%) b = 6.43248 +/- 20.02 (311.3%) correlation matrix of the fit parameters: a b a 1.000 b -0.199 1.000 ******************************************************************************* Fri May 16 19:50:51 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8657187321e+02 0.00e+00 1.41e-02 2.429732e-02 6.751519e-04 -3.719671e-04 2 4.8587267155e+02 -1.31e-02 1.41e-04 2.277353e-02 3.894858e-03 8.631441e-04 After 2 iterations the fit converged. final sum of squares of residuals : 485.873 rel. change during last iteration : -1.31216e-07 degrees of freedom (FIT_NDF) : 36717 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115034 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132329 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0227735 +/- 0.0007686 (3.375%) bb = 0.00389486 +/- 0.0004708 (12.09%) cc = 0.000863144 +/- 0.0002641 (30.6%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb -0.054 1.000 cc -0.602 0.346 1.000 ******************************************************************************* Fri May 16 19:50:54 2025 FIT: data read from psfile[i] u ($9*100):(abs($15)<300 ?($15*1000):1/0) format = x:z #datapoints = 36687 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 3.8724466706e+11 0.00e+00 1.87e+04 2.644695e+04 6.432484e+00 2 7.1661403827e+09 -1.47e-03 1.87e+02 2.966566e+04 6.446898e+00 After 2 iterations the fit converged. final sum of squares of residuals : 7.16614e+09 rel. change during last iteration : -1.4666e-08 degrees of freedom (FIT_NDF) : 36685 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 441.976 variance of residuals (reduced chisquare) = WSSR/ndf : 195343 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 29665.7 +/- 2.354 (0.007936%) b = 6.4469 +/- 20.05 (311%) correlation matrix of the fit parameters: a b a 1.000 b -0.198 1.000 ******************************************************************************* Fri May 16 19:50:56 2025 FIT: data read from psfile[i] u ($6*100):($9*100) format = x:z #datapoints = 36687 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = aa+bb*x + cc*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa bb cc 0 4.8678374087e+02 0.00e+00 1.36e-02 2.277353e-02 3.894858e-03 8.631441e-04 2 4.8601826011e+02 -6.05e-05 1.36e-04 2.368019e-02 8.141721e-04 -1.193908e-04 After 2 iterations the fit converged. final sum of squares of residuals : 486.018 rel. change during last iteration : -6.0457e-10 degrees of freedom (FIT_NDF) : 36684 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.115103 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0132488 Final set of parameters Asymptotic Standard Error ======================= ========================== aa = 0.0236802 +/- 0.000753 (3.18%) bb = 0.000814172 +/- 0.0004395 (53.98%) cc = -0.000119391 +/- 0.0002319 (194.2%) correlation matrix of the fit parameters: aa bb cc aa 1.000 bb 0.002 1.000 cc -0.589 0.204 1.000 ******************************************************************************* Sun May 18 10:09:36 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:($15 < 1.e6 ? $15:1/0) format = x:z #datapoints = 1303540 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)= a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 2.3712628482e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 2.4835528532e+05 -5.89e-04 7.07e-03 2.277166e+00 -3.556887e-01 After 2 iterations the fit converged. final sum of squares of residuals : 248355 rel. change during last iteration : -5.88988e-09 degrees of freedom (FIT_NDF) : 1303538 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.436491 variance of residuals (reduced chisquare) = WSSR/ndf : 0.190524 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.27717 +/- 0.0003829 (0.01682%) b = -0.355689 +/- 0.02464 (6.927%) correlation matrix of the fit parameters: a b a 1.000 b -0.056 1.000 ******************************************************************************* Sun May 18 10:11:16 2025 FIT: data read from 'all_MARK_INFLECTOR_DS_phase_space.dat_trimmed_sorted' u 9:($15 < 1.e6 ? $15:1/0) format = x:z #datapoints = 36720 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x)= a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 7.0908474430e+03 0.00e+00 1.61e+00 2.277166e+00 -3.556887e-01 2 7.0887182964e+03 -3.47e-01 1.61e-02 2.269541e+00 -1.211427e-01 After 2 iterations the fit converged. final sum of squares of residuals : 7088.72 rel. change during last iteration : -3.47164e-06 degrees of freedom (FIT_NDF) : 36718 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.439384 variance of residuals (reduced chisquare) = WSSR/ndf : 0.193058 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.26954 +/- 0.00234 (0.1031%) b = -0.121143 +/- 1.993 (1645%) correlation matrix of the fit parameters: a b a 1.000 b -0.200 1.000 ******************************************************************************* Sun May 18 10:18:16 2025 FIT: data read from 'MARK_INFLECTOR_DS_phase_space.dat_trimmed' u 9:15 format = x:z #datapoints = 552898 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.0695024747e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00 2 1.2326921118e+05 -1.24e-02 7.07e-03 2.308217e+00 -6.887480e-02 After 2 iterations the fit converged. final sum of squares of residuals : 123269 rel. change during last iteration : -1.23511e-07 degrees of freedom (FIT_NDF) : 552896 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.472178 variance of residuals (reduced chisquare) = WSSR/ndf : 0.222952 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 2.30822 +/- 0.000635 (0.02751%) b = -0.0688748 +/- 0.1121 (162.7%) correlation matrix of the fit parameters: a b a 1.000 b -0.004 1.000