******************************************************************************* Sat Nov 12 08:16:48 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 44 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.3565028689e+06 0.00e+00 3.12e+02 1.000000e+00 1.000000e+00 5 1.0659952112e+02 -3.96e-01 3.12e-03 2.647086e+00 1.247719e-02 After 5 iterations the fit converged. final sum of squares of residuals : 106.6 rel. change during last iteration : -3.9629e-06 degrees of freedom (FIT_NDF) : 42 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.59314 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53808 p-value of the Chisq distribution (FIT_P) : 1.57668e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64709 +/- 0.4616 (17.44%) offset = 0.0124772 +/- 0.0006083 (4.876%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.449 1.000 ******************************************************************************* Sat Nov 12 08:16:48 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($4*1.e6*ttp) yerror format = x:z:s #datapoints = 44 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.7190351800e+02 0.00e+00 2.81e+00 2.647086e+00 1.247719e-02 3 1.0659952112e+02 -5.80e-04 2.81e-03 3.809060e+00 1.795422e-02 After 3 iterations the fit converged. final sum of squares of residuals : 106.6 rel. change during last iteration : -5.80053e-09 degrees of freedom (FIT_NDF) : 42 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.59314 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53808 p-value of the Chisq distribution (FIT_P) : 1.57668e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.80906 +/- 0.6643 (17.44%) offset = 0.0179542 +/- 0.0008754 (4.876%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.449 1.000 ******************************************************************************* Sat Nov 12 08:41:39 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4 > 2 ? $4*1.e6:1/0) yerror format = x:z:s BREAK: No data to fit ******************************************************************************* Sat Nov 12 08:42:23 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 44 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.3565028689e+06 0.00e+00 3.12e+02 1.000000e+00 1.000000e+00 5 1.0659952112e+02 -3.96e-01 3.12e-03 2.647086e+00 1.247719e-02 After 5 iterations the fit converged. final sum of squares of residuals : 106.6 rel. change during last iteration : -3.9629e-06 degrees of freedom (FIT_NDF) : 42 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.59314 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53808 p-value of the Chisq distribution (FIT_P) : 1.57668e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64709 +/- 0.4616 (17.44%) offset = 0.0124772 +/- 0.0006083 (4.876%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.449 1.000 ******************************************************************************* Sat Nov 12 08:42:23 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($4*1.e6*ttp) yerror format = x:z:s Current data point ========================= # = 1 out of 50 x = -0.00204 z = 0.0287793 s = 0 BREAK: Zero error value in data file ******************************************************************************* Sat Nov 12 08:43:21 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 44 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.3565028689e+06 0.00e+00 3.12e+02 1.000000e+00 1.000000e+00 5 1.0659952112e+02 -3.96e-01 3.12e-03 2.647086e+00 1.247719e-02 After 5 iterations the fit converged. final sum of squares of residuals : 106.6 rel. change during last iteration : -3.9629e-06 degrees of freedom (FIT_NDF) : 42 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.59314 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53808 p-value of the Chisq distribution (FIT_P) : 1.57668e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64709 +/- 0.4616 (17.44%) offset = 0.0124772 +/- 0.0006083 (4.876%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.449 1.000 ******************************************************************************* Sat Nov 12 08:43:50 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 44 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.3565028689e+06 0.00e+00 3.12e+02 1.000000e+00 1.000000e+00 5 1.0659952112e+02 -3.96e-01 3.12e-03 2.647086e+00 1.247719e-02 After 5 iterations the fit converged. final sum of squares of residuals : 106.6 rel. change during last iteration : -3.9629e-06 degrees of freedom (FIT_NDF) : 42 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.59314 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53808 p-value of the Chisq distribution (FIT_P) : 1.57668e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64709 +/- 0.4616 (17.44%) offset = 0.0124772 +/- 0.0006083 (4.876%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.449 1.000 ******************************************************************************* Sat Nov 12 08:43:50 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5 < 2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s Current data point ========================= # = 1 out of 4 x = -0.00204 z = 0.0287793 s = 0 BREAK: Zero error value in data file ******************************************************************************* Sat Nov 12 08:44:17 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 44 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.3565028689e+06 0.00e+00 3.12e+02 1.000000e+00 1.000000e+00 5 1.0659952112e+02 -3.96e-01 3.12e-03 2.647086e+00 1.247719e-02 After 5 iterations the fit converged. final sum of squares of residuals : 106.6 rel. change during last iteration : -3.9629e-06 degrees of freedom (FIT_NDF) : 42 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.59314 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53808 p-value of the Chisq distribution (FIT_P) : 1.57668e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64709 +/- 0.4616 (17.44%) offset = 0.0124772 +/- 0.0006083 (4.876%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.449 1.000 ******************************************************************************* Sat Nov 12 08:44:17 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 44 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 2.7190351800e+02 0.00e+00 2.81e+00 2.647086e+00 1.247719e-02 3 1.0659952112e+02 -5.80e-04 2.81e-03 3.809060e+00 1.795422e-02 After 3 iterations the fit converged. final sum of squares of residuals : 106.6 rel. change during last iteration : -5.80053e-09 degrees of freedom (FIT_NDF) : 42 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.59314 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53808 p-value of the Chisq distribution (FIT_P) : 1.57668e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.80906 +/- 0.6643 (17.44%) offset = 0.0179542 +/- 0.0008754 (4.876%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.449 1.000 ******************************************************************************* Sat Nov 12 08:50:28 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 44 function used for fitting: f(x) f(x) = offset + slope*x fitted parameters initialized with current variable values iter chisq delta/lim lambda slope offset 0 8.3565028689e+06 0.00e+00 3.12e+02 1.000000e+00 1.000000e+00 5 1.0659952112e+02 -3.96e-01 3.12e-03 2.647086e+00 1.247719e-02 After 5 iterations the fit converged. final sum of squares of residuals : 106.6 rel. change during last iteration : -3.9629e-06 degrees of freedom (FIT_NDF) : 42 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.59314 variance of residuals (reduced chisquare) = WSSR/ndf : 2.53808 p-value of the Chisq distribution (FIT_P) : 1.57668e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64709 +/- 0.4616 (17.44%) offset = 0.0124772 +/- 0.0006083 (4.876%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.449 1.000 ******************************************************************************* Sat Nov 12 08:50:28 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 44 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 q 0 2.7176833459e+02 0.00e+00 2.30e+00 2.647086e+00 1.247719e-02 1.000000e+00 6 8.5646221110e+01 -1.04e-01 2.30e-06 1.683399e+00 1.658208e-02 1.513756e+03 After 6 iterations the fit converged. final sum of squares of residuals : 85.6462 rel. change during last iteration : -1.03746e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.44531 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08893 p-value of the Chisq distribution (FIT_P) : 5.46311e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 1.6834 +/- 0.902 (53.58%) offset = 0.0165821 +/- 0.0009046 (5.456%) q = 1513.76 +/- 478 (31.57%) correlation matrix of the fit parameters: slope offset q slope 1.000 offset 0.093 1.000 q -0.744 -0.479 1.000 ******************************************************************************* Sat Nov 12 08:51:33 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 44 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 q 0 8.3465435674e+06 0.00e+00 2.55e+02 1.000000e+00 1.000000e+00 1.000000e+00 3 1.9004784679e+02 -1.44e-03 2.55e-01 1.000033e+00 1.404187e-02 1.000033e+00 After 3 iterations the fit converged. final sum of squares of residuals : 190.048 rel. change during last iteration : -1.43887e-08 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.15298 variance of residuals (reduced chisquare) = WSSR/ndf : 4.63531 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 1.00003 +/- 3.079e+20 (3.079e+22%) offset = 0.0140419 +/- 0.0008108 (5.774%) q = 1.00003 +/- 3.079e+20 (3.079e+22%) correlation matrix of the fit parameters: slope offset q slope 1.000 offset 0.060 1.000 q -1.000 -0.060 1.000 ******************************************************************************* Sat Nov 12 08:51:33 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 44 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 q 0 2.8060106808e+02 0.00e+00 2.50e+00 1.000033e+00 1.404187e-02 1.000033e+00 6 8.5646221110e+01 -1.80e-01 2.50e-06 1.683399e+00 1.658208e-02 1.513756e+03 After 6 iterations the fit converged. final sum of squares of residuals : 85.6462 rel. change during last iteration : -1.80045e-06 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.44531 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08893 p-value of the Chisq distribution (FIT_P) : 5.46311e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 1.6834 +/- 0.902 (53.58%) offset = 0.0165821 +/- 0.0009046 (5.456%) q = 1513.76 +/- 478 (31.57%) correlation matrix of the fit parameters: slope offset q slope 1.000 offset 0.093 1.000 q -0.744 -0.479 1.000 ******************************************************************************* Sat Nov 12 08:52:20 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) yerror format = x:z:s #datapoints = 44 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 q 0 8.3565321910e+06 0.00e+00 2.55e+02 1.000000e+00 1.000000e+00 1.000000e+00 8 8.5646221110e+01 -1.77e-02 2.55e-06 1.169870e+00 1.152363e-02 1.051977e+03 After 8 iterations the fit converged. final sum of squares of residuals : 85.6462 rel. change during last iteration : -1.76577e-07 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.44531 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08893 p-value of the Chisq distribution (FIT_P) : 5.46311e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 1.16987 +/- 0.6269 (53.58%) offset = 0.0115236 +/- 0.0006287 (5.456%) q = 1051.98 +/- 332.2 (31.57%) correlation matrix of the fit parameters: slope offset q slope 1.000 offset 0.093 1.000 q -0.744 -0.479 1.000 ******************************************************************************* Sat Nov 12 08:52:20 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp:1/0) yerror format = x:z:s #datapoints = 44 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 q 0 2.5290009625e+02 0.00e+00 2.13e+00 1.169870e+00 1.152363e-02 1.051977e+03 3 8.5646221110e+01 -1.28e-02 2.13e-03 1.683399e+00 1.658208e-02 1.513756e+03 After 3 iterations the fit converged. final sum of squares of residuals : 85.6462 rel. change during last iteration : -1.28153e-07 degrees of freedom (FIT_NDF) : 41 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.44531 variance of residuals (reduced chisquare) = WSSR/ndf : 2.08893 p-value of the Chisq distribution (FIT_P) : 5.46311e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 1.6834 +/- 0.902 (53.58%) offset = 0.0165821 +/- 0.0009046 (5.456%) q = 1513.76 +/- 478 (31.57%) correlation matrix of the fit parameters: slope offset q slope 1.000 offset 0.093 1.000 q -0.744 -0.479 1.000 ******************************************************************************* Sat Nov 12 12:50:28 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) 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 2.1524172170e+08 0.00e+00 1.43e+03 1.000000e+00 1.000000e+00 5 1.1165467937e+03 -5.16e-01 1.43e-02 2.641909e+00 1.285134e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1116.55 rel. change during last iteration : -5.16219e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.63379 variance of residuals (reduced chisquare) = WSSR/ndf : 21.4721 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64191 +/- 0.2656 (10.05%) offset = 0.0128513 +/- 0.0003431 (2.67%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.419 1.000 ******************************************************************************* Sat Nov 12 12:50:29 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp: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 5.5147490747e+03 0.00e+00 1.32e+01 2.641909e+00 1.285134e-02 3 1.1165467937e+03 -8.65e-04 1.32e-02 3.801610e+00 1.849260e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1116.55 rel. change during last iteration : -8.64863e-09 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.63379 variance of residuals (reduced chisquare) = WSSR/ndf : 21.4721 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.80161 +/- 0.3821 (10.05%) offset = 0.0184926 +/- 0.0004937 (2.67%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.419 1.000 ******************************************************************************* Sat Nov 12 13:00:13 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) 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 2.1524172170e+08 0.00e+00 1.43e+03 1.000000e+00 1.000000e+00 5 1.1165467937e+03 -5.16e-01 1.43e-02 2.641909e+00 1.285134e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1116.55 rel. change during last iteration : -5.16219e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.63379 variance of residuals (reduced chisquare) = WSSR/ndf : 21.4721 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64191 +/- 0.2656 (10.05%) offset = 0.0128513 +/- 0.0003431 (2.67%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.419 1.000 ******************************************************************************* Sat Nov 12 13:00:13 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp: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 5.5147490747e+03 0.00e+00 1.32e+01 2.641909e+00 1.285134e-02 3 1.1165467937e+03 -8.65e-04 1.32e-02 3.801610e+00 1.849260e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1116.55 rel. change during last iteration : -8.64863e-09 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.63379 variance of residuals (reduced chisquare) = WSSR/ndf : 21.4721 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.80161 +/- 0.3821 (10.05%) offset = 0.0184926 +/- 0.0004937 (2.67%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.419 1.000 ******************************************************************************* Sat Nov 12 18:06:36 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) 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 2.1479557206e+08 0.00e+00 1.43e+03 1.000000e+00 1.000000e+00 5 1.1224973992e+03 -5.09e-01 1.43e-02 2.633045e+00 1.286806e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1122.5 rel. change during last iteration : -5.08588e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.64613 variance of residuals (reduced chisquare) = WSSR/ndf : 21.5865 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.63304 +/- 0.2667 (10.13%) offset = 0.0128681 +/- 0.0003442 (2.675%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.418 1.000 ******************************************************************************* Sat Nov 12 18:06:36 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp: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 5.5140625635e+03 0.00e+00 1.32e+01 2.633045e+00 1.286806e-02 3 1.1224973992e+03 -8.85e-04 1.32e-02 3.788854e+00 1.851665e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1122.5 rel. change during last iteration : -8.85496e-09 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.64613 variance of residuals (reduced chisquare) = WSSR/ndf : 21.5865 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.78885 +/- 0.3838 (10.13%) offset = 0.0185167 +/- 0.0004953 (2.675%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.418 1.000 ******************************************************************************* Sat Nov 12 18:09:14 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($5 > 2 ? $4*1.e6:1/0) 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 2.1479557206e+08 0.00e+00 1.43e+03 1.000000e+00 1.000000e+00 5 1.1224973992e+03 -5.09e-01 1.43e-02 2.633045e+00 1.286806e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1122.5 rel. change during last iteration : -5.08588e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.64613 variance of residuals (reduced chisquare) = WSSR/ndf : 21.5865 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.63304 +/- 0.2667 (10.13%) offset = 0.0128681 +/- 0.0003442 (2.675%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.418 1.000 ******************************************************************************* Sat Nov 12 18:09:14 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*ttp):($5>2 ? $4*1.e6*ttp: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 5.5140625635e+03 0.00e+00 1.32e+01 2.633045e+00 1.286806e-02 3 1.1224973992e+03 -8.85e-04 1.32e-02 3.788854e+00 1.851665e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1122.5 rel. change during last iteration : -8.85496e-09 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.64613 variance of residuals (reduced chisquare) = WSSR/ndf : 21.5865 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.78885 +/- 0.3838 (10.13%) offset = 0.0185167 +/- 0.0004953 (2.675%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.418 1.000 ******************************************************************************* Sun Nov 13 08:36:33 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 2.1524172170e+08 0.00e+00 1.43e+03 1.000000e+00 1.000000e+00 5 1.1165467937e+03 -5.16e-01 1.43e-02 2.641909e+00 1.285134e-02 After 5 iterations the fit converged. final sum of squares of residuals : 1116.55 rel. change during last iteration : -5.16219e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.63379 variance of residuals (reduced chisquare) = WSSR/ndf : 21.4721 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.64191 +/- 0.2656 (10.05%) offset = 0.0128513 +/- 0.0003431 (2.67%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.419 1.000 ******************************************************************************* Sun Nov 13 08:36:33 2022 FIT: data read from filename u ($1):($2*yf*ttp):($5>2 ? $4*yf*ttp: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 5.5147490747e+03 0.00e+00 1.32e+01 2.641909e+00 1.285134e-02 3 1.1165467937e+03 -8.65e-04 1.32e-02 3.801610e+00 1.849260e-02 After 3 iterations the fit converged. final sum of squares of residuals : 1116.55 rel. change during last iteration : -8.64863e-09 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 4.63379 variance of residuals (reduced chisquare) = WSSR/ndf : 21.4721 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.80161 +/- 0.3821 (10.05%) offset = 0.0184926 +/- 0.0004937 (2.67%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.419 1.000