******************************************************************************* Tue Nov 29 20:41:55 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.8315003201e+07 0.00e+00 4.96e+02 1.000000e+00 1.000000e+00 5 3.1555065131e+02 -9.23e-02 4.96e-03 -5.351382e-01 -2.358209e-02 After 5 iterations the fit converged. final sum of squares of residuals : 315.551 rel. change during last iteration : -9.22834e-07 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.44004 variance of residuals (reduced chisquare) = WSSR/ndf : 5.95379 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.535138 +/- 0.3443 (64.34%) offset = -0.0235821 +/- 0.0004741 (2.011%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.144 1.000 ******************************************************************************* Tue Nov 29 20:41:55 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.7037574132e+03 0.00e+00 8.13e+00 -5.351382e-01 -2.358209e-02 4 3.1555065131e+02 -2.39e-06 8.13e-04 -7.700442e-01 -3.393375e-02 After 4 iterations the fit converged. final sum of squares of residuals : 315.551 rel. change during last iteration : -2.3901e-11 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.44004 variance of residuals (reduced chisquare) = WSSR/ndf : 5.95379 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = -0.770044 +/- 0.4954 (64.34%) offset = -0.0339338 +/- 0.0006823 (2.011%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.144 1.000 ******************************************************************************* Tue Nov 29 20:45:50 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 54 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0352722643e+10 0.00e+00 1.03e+04 1.000000e+00 1.000000e+00 5 6.8930747917e+02 -3.17e-09 1.03e-01 2.121047e-04 2.134203e-04 After 5 iterations the fit converged. final sum of squares of residuals : 689.307 rel. change during last iteration : -3.16664e-14 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.64087 variance of residuals (reduced chisquare) = WSSR/ndf : 13.2559 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.000212105 +/- 0.001229 (579.5%) offset = 0.00021342 +/- 7.229e-05 (33.87%) correlation matrix of the fit parameters: slope offset slope 1.000 offset 0.883 1.000 ******************************************************************************* Mon Dec 5 13:33:26 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0918307087e+09 0.00e+00 3.15e+03 1.000000e+00 1.000000e+00 5 3.9537098227e+02 -2.38e-01 3.15e-02 6.428515e-01 -6.031696e-04 After 5 iterations the fit converged. final sum of squares of residuals : 395.371 rel. change during last iteration : -2.38186e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.73127 variance of residuals (reduced chisquare) = WSSR/ndf : 7.45983 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.642852 +/- 0.06607 (10.28%) offset = -0.00060317 +/- 8.518e-05 (14.12%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.239 1.000 ******************************************************************************* Mon Dec 5 13:49:08 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0918307087e+09 0.00e+00 3.15e+03 1.000000e+00 1.000000e+00 5 3.9537098227e+02 -2.38e-01 3.15e-02 6.428515e-01 -6.031696e-04 After 5 iterations the fit converged. final sum of squares of residuals : 395.371 rel. change during last iteration : -2.38186e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.73127 variance of residuals (reduced chisquare) = WSSR/ndf : 7.45983 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.642852 +/- 0.06607 (10.28%) offset = -0.00060317 +/- 8.518e-05 (14.12%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.239 1.000 ******************************************************************************* Mon Dec 5 13:49:44 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0918307087e+09 0.00e+00 3.15e+03 1.000000e+00 1.000000e+00 5 3.9537098227e+02 -2.38e-01 3.15e-02 6.428515e-01 -6.031696e-04 After 5 iterations the fit converged. final sum of squares of residuals : 395.371 rel. change during last iteration : -2.38186e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.73127 variance of residuals (reduced chisquare) = WSSR/ndf : 7.45983 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.642852 +/- 0.06607 (10.28%) offset = -0.00060317 +/- 8.518e-05 (14.12%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.239 1.000 ******************************************************************************* Mon Dec 5 13:51:04 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.6743744341e+09 0.00e+00 7.77e+03 1.000000e+00 1.000000e+00 5 2.1042904476e+03 -1.17e-01 7.77e-02 4.937596e-01 -2.010734e-03 After 5 iterations the fit converged. final sum of squares of residuals : 2104.29 rel. change during last iteration : -1.16924e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.30108 variance of residuals (reduced chisquare) = WSSR/ndf : 39.7036 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.49376 +/- 0.04503 (9.119%) offset = -0.00201073 +/- 8.711e-05 (4.332%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.461 1.000 ******************************************************************************* Mon Dec 5 13:52:16 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.6743744341e+09 0.00e+00 7.77e+03 1.000000e+00 1.000000e+00 5 2.1042904476e+03 -1.17e-01 7.77e-02 4.937596e-01 -2.010734e-03 After 5 iterations the fit converged. final sum of squares of residuals : 2104.29 rel. change during last iteration : -1.16924e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.30108 variance of residuals (reduced chisquare) = WSSR/ndf : 39.7036 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.49376 +/- 0.04503 (9.119%) offset = -0.00201073 +/- 8.711e-05 (4.332%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.461 1.000 ******************************************************************************* Mon Dec 5 14:10:57 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0918307087e+09 0.00e+00 3.15e+03 1.000000e+00 1.000000e+00 5 3.9537098227e+02 -2.38e-01 3.15e-02 6.428515e-01 -6.031696e-04 After 5 iterations the fit converged. final sum of squares of residuals : 395.371 rel. change during last iteration : -2.38186e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.73127 variance of residuals (reduced chisquare) = WSSR/ndf : 7.45983 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.642852 +/- 0.06607 (10.28%) offset = -0.00060317 +/- 8.518e-05 (14.12%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.239 1.000 ******************************************************************************* Mon Dec 5 16:15:53 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0918307087e+09 0.00e+00 3.15e+03 1.000000e+00 1.000000e+00 5 3.9537098227e+02 -2.38e-01 3.15e-02 6.428515e-01 -6.031696e-04 After 5 iterations the fit converged. final sum of squares of residuals : 395.371 rel. change during last iteration : -2.38186e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.73127 variance of residuals (reduced chisquare) = WSSR/ndf : 7.45983 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.642852 +/- 0.06607 (10.28%) offset = -0.00060317 +/- 8.518e-05 (14.12%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.239 1.000 ******************************************************************************* Mon Dec 5 16:17:01 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.0918307087e+09 0.00e+00 3.15e+03 1.000000e+00 1.000000e+00 5 3.9537098227e+02 -2.38e-01 3.15e-02 6.428515e-01 -6.031696e-04 After 5 iterations the fit converged. final sum of squares of residuals : 395.371 rel. change during last iteration : -2.38186e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.73127 variance of residuals (reduced chisquare) = WSSR/ndf : 7.45983 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.642852 +/- 0.06607 (10.28%) offset = -0.00060317 +/- 8.518e-05 (14.12%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.239 1.000 ******************************************************************************* Mon Dec 5 16:20:12 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? $4*yf:1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 6.6743744341e+09 0.00e+00 7.77e+03 1.000000e+00 1.000000e+00 5 2.1042904476e+03 -1.17e-01 7.77e-02 4.937596e-01 -2.010734e-03 After 5 iterations the fit converged. final sum of squares of residuals : 2104.29 rel. change during last iteration : -1.16924e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.30108 variance of residuals (reduced chisquare) = WSSR/ndf : 39.7036 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.49376 +/- 0.04503 (9.119%) offset = -0.00201073 +/- 8.711e-05 (4.332%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.461 1.000 ******************************************************************************* Wed Dec 7 16:06:11 2022 FIT: data read from 'bin_average_rms_4.dat' u 1:2:(1./$5**.5) format = x:z:s #datapoints = 57 function used for fitting: f(x) f(x) = a+b*x BREAK: Need via and either parameter list or file ******************************************************************************* Wed Dec 7 16:06:33 2022 FIT: data read from 'bin_average_rms_4.dat' u 1:2:(1./$5**.5) yerror format = x:z:s #datapoints = 57 function used for fitting: f(x) f(x) = a+b*x fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.2191107910e+04 0.00e+00 1.03e+01 1.000000e+00 1.000000e+00 5 3.0731625383e-03 -8.61e-01 1.03e-04 -6.667116e-04 5.336619e-01 After 5 iterations the fit converged. final sum of squares of residuals : 0.00307316 rel. change during last iteration : -8.60973e-06 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.007475 variance of residuals (reduced chisquare) = WSSR/ndf : 5.58757e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== a = -0.000666712 +/- 6.848e-05 (10.27%) b = 0.533662 +/- 0.06056 (11.35%) correlation matrix of the fit parameters: a b a 1.000 b -0.145 1.000 ******************************************************************************* Thu Dec 8 16:23:38 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2226638404e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 6 1.6327292084e-03 -2.43e-08 1.05e-05 2.602195e-01 -2.203128e-03 After 6 iterations the fit converged. final sum of squares of residuals : 0.00163273 rel. change during last iteration : -2.43305e-13 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00555033 variance of residuals (reduced chisquare) = WSSR/ndf : 3.08062e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.260219 +/- 0.04502 (17.3%) offset = -0.00220313 +/- 5.085e-05 (2.308%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Thu Dec 8 16:26:41 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2226638404e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 6 1.6327292084e-03 -2.43e-08 1.05e-05 2.602195e-01 -2.203128e-03 After 6 iterations the fit converged. final sum of squares of residuals : 0.00163273 rel. change during last iteration : -2.43305e-13 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00555033 variance of residuals (reduced chisquare) = WSSR/ndf : 3.08062e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.260219 +/- 0.04502 (17.3%) offset = -0.00220313 +/- 5.085e-05 (2.308%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Thu Dec 8 16:28:03 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2226638404e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 6 1.6327292084e-03 -2.43e-08 1.05e-05 2.602195e-01 -2.203128e-03 After 6 iterations the fit converged. final sum of squares of residuals : 0.00163273 rel. change during last iteration : -2.43305e-13 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00555033 variance of residuals (reduced chisquare) = WSSR/ndf : 3.08062e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.260219 +/- 0.04502 (17.3%) offset = -0.00220313 +/- 5.085e-05 (2.308%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Thu Dec 8 16:33:33 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2188097341e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 5 3.0713932883e-03 -9.72e-01 1.05e-04 5.331826e-01 -6.668007e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.00307139 rel. change during last iteration : -9.7185e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00761254 variance of residuals (reduced chisquare) = WSSR/ndf : 5.79508e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.533183 +/- 0.06175 (11.58%) offset = -0.000666801 +/- 6.974e-05 (10.46%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Sun Dec 11 08:59:59 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2188097341e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 5 3.0713932883e-03 -9.72e-01 1.05e-04 5.331826e-01 -6.668007e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.00307139 rel. change during last iteration : -9.7185e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00761254 variance of residuals (reduced chisquare) = WSSR/ndf : 5.79508e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.533183 +/- 0.06175 (11.58%) offset = -0.000666801 +/- 6.974e-05 (10.46%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Sun Dec 11 09:00:41 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2226638404e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 6 1.6327292084e-03 -2.43e-08 1.05e-05 2.602195e-01 -2.203128e-03 After 6 iterations the fit converged. final sum of squares of residuals : 0.00163273 rel. change during last iteration : -2.43305e-13 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00555033 variance of residuals (reduced chisquare) = WSSR/ndf : 3.08062e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.260219 +/- 0.04502 (17.3%) offset = -0.00220313 +/- 5.085e-05 (2.308%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Sun Dec 11 09:01:07 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2762344773e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 5 1.2507537956e-01 -1.58e-02 1.05e-04 6.199465e-01 -2.398001e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.125075 rel. change during last iteration : -1.58154e-07 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0485789 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00235991 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.619947 +/- 0.3941 (63.56%) offset = -0.02398 +/- 0.000445 (1.856%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Sun Dec 11 09:01:07 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5972345163e+00 0.00e+00 2.52e-01 6.199465e-01 -2.398001e-02 4 2.5898286599e-01 -4.21e-06 2.52e-05 8.920799e-01 -3.450634e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.258983 rel. change during last iteration : -4.21366e-11 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0699033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00488647 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.89208 +/- 0.567 (63.56%) offset = -0.0345063 +/- 0.0006404 (1.856%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:17:54 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2762344773e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 5 1.2507537956e-01 -1.58e-02 1.05e-04 6.199465e-01 -2.398001e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.125075 rel. change during last iteration : -1.58154e-07 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0485789 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00235991 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.619947 +/- 0.3941 (63.56%) offset = -0.02398 +/- 0.000445 (1.856%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:17:54 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5972345163e+00 0.00e+00 2.52e-01 6.199465e-01 -2.398001e-02 4 2.5898286599e-01 -4.21e-06 2.52e-05 8.920799e-01 -3.450634e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.258983 rel. change during last iteration : -4.21366e-11 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0699033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00488647 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.89208 +/- 0.567 (63.56%) offset = -0.0345063 +/- 0.0006404 (1.856%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:19:39 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2188097341e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 5 3.0713932883e-03 -9.72e-01 1.05e-04 5.331826e-01 -6.668007e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.00307139 rel. change during last iteration : -9.7185e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00761254 variance of residuals (reduced chisquare) = WSSR/ndf : 5.79508e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.533183 +/- 0.06175 (11.58%) offset = -0.000666801 +/- 6.974e-05 (10.46%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:20:02 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2226638404e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 6 1.6327292084e-03 -2.43e-08 1.05e-05 2.602195e-01 -2.203128e-03 After 6 iterations the fit converged. final sum of squares of residuals : 0.00163273 rel. change during last iteration : -2.43305e-13 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00555033 variance of residuals (reduced chisquare) = WSSR/ndf : 3.08062e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.260219 +/- 0.04502 (17.3%) offset = -0.00220313 +/- 5.085e-05 (2.308%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:25:51 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2188097341e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 5 3.0713932883e-03 -9.72e-01 1.05e-04 5.331826e-01 -6.668007e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.00307139 rel. change during last iteration : -9.7185e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00761254 variance of residuals (reduced chisquare) = WSSR/ndf : 5.79508e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.533183 +/- 0.06175 (11.58%) offset = -0.000666801 +/- 6.974e-05 (10.46%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:26:14 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2226638404e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 6 1.6327292084e-03 -2.43e-08 1.05e-05 2.602195e-01 -2.203128e-03 After 6 iterations the fit converged. final sum of squares of residuals : 0.00163273 rel. change during last iteration : -2.43305e-13 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00555033 variance of residuals (reduced chisquare) = WSSR/ndf : 3.08062e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.260219 +/- 0.04502 (17.3%) offset = -0.00220313 +/- 5.085e-05 (2.308%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:27:53 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2188097341e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 5 3.0713932883e-03 -9.72e-01 1.05e-04 5.331826e-01 -6.668007e-04 After 5 iterations the fit converged. final sum of squares of residuals : 0.00307139 rel. change during last iteration : -9.7185e-06 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00761254 variance of residuals (reduced chisquare) = WSSR/ndf : 5.79508e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.533183 +/- 0.06175 (11.58%) offset = -0.000666801 +/- 6.974e-05 (10.46%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:28:33 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2226638404e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 6 1.6327292084e-03 -2.43e-08 1.05e-05 2.602195e-01 -2.203128e-03 After 6 iterations the fit converged. final sum of squares of residuals : 0.00163273 rel. change during last iteration : -2.43305e-13 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00555033 variance of residuals (reduced chisquare) = WSSR/ndf : 3.08062e-05 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.260219 +/- 0.04502 (17.3%) offset = -0.00220313 +/- 5.085e-05 (2.308%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:29:50 2022 FIT: data read from filename u ($1*xf):($2*yf):($5 > 2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x + q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.2762344773e+04 0.00e+00 1.05e+01 1.000000e+00 1.000000e+00 5 1.2507537956e-01 -1.58e-02 1.05e-04 6.199465e-01 -2.398001e-02 After 5 iterations the fit converged. final sum of squares of residuals : 0.125075 rel. change during last iteration : -1.58154e-07 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0485789 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00235991 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.619947 +/- 0.3941 (63.56%) offset = -0.02398 +/- 0.000445 (1.856%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000 ******************************************************************************* Tue Dec 13 21:29:50 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? (1./$5**.5):1/0) yerror format = x:z:s #datapoints = 55 function used for fitting: f(x) f(x) = offset + slope*x +q*x*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 1.5972345163e+00 0.00e+00 2.52e-01 6.199465e-01 -2.398001e-02 4 2.5898286599e-01 -4.21e-06 2.52e-05 8.920799e-01 -3.450634e-02 After 4 iterations the fit converged. final sum of squares of residuals : 0.258983 rel. change during last iteration : -4.21366e-11 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0699033 variance of residuals (reduced chisquare) = WSSR/ndf : 0.00488647 p-value of the Chisq distribution (FIT_P) : 1 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.89208 +/- 0.567 (63.56%) offset = -0.0345063 +/- 0.0006404 (1.856%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.145 1.000