******************************************************************************* Fri Nov 11 14:23:43 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 format = x:z:s Current data point ========================= # = 1 out of 61 x = -46 z = 0.00032 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 14:24:11 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 format = x:z:s Current data point ========================= # = 1 out of 61 x = -46 z = 0.00032 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 14:24:29 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 format = x:z:s Current data point ========================= # = 1 out of 61 x = -46 z = 0.00032 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 14:25:34 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 yerror format = x:z:s Current data point ========================= # = 1 out of 61 x = -46 z = 0.00032 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 14:32:14 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 yerror format = x:z:s Current data point ========================= # = 1 out of 61 x = -46 z = 0.00032 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 14:32:39 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 yerror format = x:z:s Current data point ========================= # = 1 out of 61 x = -46 z = 0.00032 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 14:34:02 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 yerror format = x:z:s Current data point ========================= # = 1 out of 61 x = -46 z = 0.00032 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 14:34:44 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2 format = x:z #datapoints = 61 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a*x + b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 6.2716159597e+01 0.00e+00 7.08e-01 1.000000e-03 1.000000e+00 5 1.2595394493e-06 -3.03e-10 7.08e-06 8.263030e-06 5.165902e-04 After 5 iterations the fit converged. final sum of squares of residuals : 1.25954e-06 rel. change during last iteration : -3.02622e-15 degrees of freedom (FIT_NDF) : 59 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00014611 variance of residuals (reduced chisquare) = WSSR/ndf : 2.13481e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.26303e-06 +/- 5.313e-07 (6.429%) b = 0.00051659 +/- 2.013e-05 (3.897%) correlation matrix of the fit parameters: a b a 1.000 b -0.369 1.000 ******************************************************************************* Fri Nov 11 14:36:26 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 yerror format = x:z:s Current data point ========================= # = 1 out of 61 x = -46 z = 0.00032 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 14:37:05 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 yerror format = x:z:s #datapoints = 60 function used for fitting: f(x) f(x) = a*x + b fitted parameters initialized with current variable values iter chisq delta/lim lambda a b 0 1.1168613264e+02 0.00e+00 6.13e+00 8.263030e-06 5.165902e-04 3 8.1952510287e+01 -1.09e-06 6.13e-03 8.262405e-06 4.713682e-04 After 3 iterations the fit converged. final sum of squares of residuals : 81.9525 rel. change during last iteration : -1.09343e-11 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.18869 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41297 p-value of the Chisq distribution (FIT_P) : 0.020904 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 8.2624e-06 +/- 4.616e-07 (5.587%) b = 0.000471368 +/- 1.163e-05 (2.467%) correlation matrix of the fit parameters: a b a 1.000 b -0.530 1.000 ******************************************************************************* Fri Nov 11 14:48:49 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 yerror format = x:z:s #datapoints = 60 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 9.6273559933e+12 0.00e+00 2.77e+05 1.000000e+00 1.000000e+00 5 8.1952510287e+01 -1.31e-06 2.77e+00 8.262405e-06 4.713682e-04 After 5 iterations the fit converged. final sum of squares of residuals : 81.9525 rel. change during last iteration : -1.31497e-11 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.18869 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41297 p-value of the Chisq distribution (FIT_P) : 0.020904 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 8.2624e-06 +/- 4.616e-07 (5.587%) offset = 0.000471368 +/- 1.163e-05 (2.467%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.530 1.000 ******************************************************************************* Fri Nov 11 14:51:17 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e9):2:4 yerror format = x:z:s #datapoints = 60 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 8.1952510287e+01 0.00e+00 5.67e+00 8.262405e-06 4.713682e-04 1 8.1952510287e+01 -1.73e-11 5.67e-01 8.262405e-06 4.713682e-04 After 1 iterations the fit converged. final sum of squares of residuals : 81.9525 rel. change during last iteration : -1.73404e-16 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.18869 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41297 p-value of the Chisq distribution (FIT_P) : 0.020904 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 8.2624e-06 +/- 4.616e-07 (5.587%) offset = 0.000471368 +/- 1.163e-05 (2.467%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.530 1.000 ******************************************************************************* Fri Nov 11 14:52:15 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e6):2:4 yerror format = x:z:s #datapoints = 60 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 7.1045258278e+02 0.00e+00 5.19e+00 8.262405e-06 4.713682e-04 6 8.1952510287e+01 -4.47e-04 5.19e-06 8.262405e-03 4.713682e-04 After 6 iterations the fit converged. final sum of squares of residuals : 81.9525 rel. change during last iteration : -4.47265e-09 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.18869 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41297 p-value of the Chisq distribution (FIT_P) : 0.020904 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.0082624 +/- 0.0004616 (5.587%) offset = 0.000471368 +/- 1.163e-05 (2.467%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.530 1.000 ******************************************************************************* Fri Nov 11 14:52:47 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e6):2:4 yerror format = x:z:s #datapoints = 60 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 8.1952510287e+01 0.00e+00 5.67e+00 8.262405e-03 4.713682e-04 1 8.1952510287e+01 0.00e+00 5.67e+00 8.262405e-03 4.713682e-04 After 1 iterations the fit converged. final sum of squares of residuals : 81.9525 rel. change during last iteration : 0 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.18869 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41297 p-value of the Chisq distribution (FIT_P) : 0.020904 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.0082624 +/- 0.0004616 (5.587%) offset = 0.000471368 +/- 1.163e-05 (2.467%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.530 1.000 ******************************************************************************* Fri Nov 11 14:54:48 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e6):2:4 yerror format = x:z:s #datapoints = 60 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 8.1952510287e+01 0.00e+00 5.67e+00 8.262405e-03 4.713682e-04 1 8.1952510287e+01 -1.73e-11 5.67e-01 8.262405e-03 4.713682e-04 After 1 iterations the fit converged. final sum of squares of residuals : 81.9525 rel. change during last iteration : -1.73404e-16 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.18869 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41297 p-value of the Chisq distribution (FIT_P) : 0.020904 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.0082624 +/- 0.0004616 (5.587%) offset = 0.000471368 +/- 1.163e-05 (2.467%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.530 1.000 ******************************************************************************* Fri Nov 11 14:55:58 2022 FIT: data read from 'bin_average_rms.dat' u ($1*1.e6):2:4 yerror format = x:z:s #datapoints = 60 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 1.4914335578e+10 0.00e+00 1.10e+04 1.000000e+00 1.000000e+00 5 8.1952510287e+01 -1.85e-07 1.10e-01 8.262405e-03 4.713682e-04 After 5 iterations the fit converged. final sum of squares of residuals : 81.9525 rel. change during last iteration : -1.84848e-12 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.18869 variance of residuals (reduced chisquare) = WSSR/ndf : 1.41297 p-value of the Chisq distribution (FIT_P) : 0.020904 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 0.0082624 +/- 0.0004616 (5.587%) offset = 0.000471368 +/- 1.163e-05 (2.467%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.530 1.000 ******************************************************************************* Fri Nov 11 15:49:33 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1*1.e6):2:4 yerror format = x:z:s #datapoints = 77 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 1.0272499496e+26 0.00e+00 8.16e+11 1.000000e+00 1.000000e+00 7 3.6678735083e+02 -7.97e-02 8.16e+04 2.868434e-12 1.358385e-08 After 7 iterations the fit converged. final sum of squares of residuals : 366.787 rel. change during last iteration : -7.96846e-07 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.21145 variance of residuals (reduced chisquare) = WSSR/ndf : 4.8905 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.86843e-12 +/- 2.417e-13 (8.428%) offset = 1.35838e-08 +/- 3.469e-10 (2.554%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.430 1.000 ******************************************************************************* Fri Nov 11 15:51:53 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*f.e6) yerror format = x:z:s ******************************************************************************* Fri Nov 11 15:52:51 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 77 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 4.8389427457e+07 0.00e+00 5.69e+02 1.000000e+00 1.000000e+00 5 3.6678735083e+02 -8.74e-02 5.69e-03 2.868433e+00 1.358385e-02 After 5 iterations the fit converged. final sum of squares of residuals : 366.787 rel. change during last iteration : -8.74192e-07 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.21145 variance of residuals (reduced chisquare) = WSSR/ndf : 4.8905 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 2.86843 +/- 0.2417 (8.428%) offset = 0.0135838 +/- 0.0003469 (2.554%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.430 1.000 ******************************************************************************* Fri Nov 11 15:57:13 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s Current data point ========================= # = 1 out of 55 x = -0.00216 z = 0.002 s = 0 BREAK: Zero error value in data file ******************************************************************************* Fri Nov 11 15:58:06 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 54 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 4.8584423512e+07 0.00e+00 6.81e+02 1.000000e+00 1.000000e+00 5 3.9509701653e+02 -2.85e-01 6.81e-03 3.034219e+00 1.356052e-02 After 5 iterations the fit converged. final sum of squares of residuals : 395.097 rel. change during last iteration : -2.85402e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.75645 variance of residuals (reduced chisquare) = WSSR/ndf : 7.59802 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.03422 +/- 0.2928 (9.65%) offset = 0.0135605 +/- 0.0004341 (3.201%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.441 1.000 ******************************************************************************* Fri Nov 11 16:05:16 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 54 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 4.8584423512e+07 0.00e+00 6.81e+02 1.000000e+00 1.000000e+00 5 3.9509701653e+02 -2.85e-01 6.81e-03 3.034219e+00 1.356052e-02 After 5 iterations the fit converged. final sum of squares of residuals : 395.097 rel. change during last iteration : -2.85402e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.75645 variance of residuals (reduced chisquare) = WSSR/ndf : 7.59802 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.03422 +/- 0.2928 (9.65%) offset = 0.0135605 +/- 0.0004341 (3.201%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.441 1.000 ******************************************************************************* Fri Nov 11 16:05:16 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6*time_to_phase):($4*1.e6*time_to_phase) yerror format = x:z:s ******************************************************************************* Fri Nov 11 16:06:52 2022 FIT: data read from 'bin_average_rms_6.dat' u ($1):($2*1.e6):($4*1.e6) yerror format = x:z:s #datapoints = 54 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 4.8584423512e+07 0.00e+00 6.81e+02 1.000000e+00 1.000000e+00 5 3.9509701653e+02 -2.85e-01 6.81e-03 3.034219e+00 1.356052e-02 After 5 iterations the fit converged. final sum of squares of residuals : 395.097 rel. change during last iteration : -2.85402e-06 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.75645 variance of residuals (reduced chisquare) = WSSR/ndf : 7.59802 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 3.03422 +/- 0.2928 (9.65%) offset = 0.0135605 +/- 0.0004341 (3.201%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.441 1.000 ******************************************************************************* Fri Nov 11 16:06:52 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 = 54 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 1.5966994018e+03 0.00e+00 6.76e+00 3.034219e+00 1.356052e-02 3 3.9509701653e+02 -2.05e-04 6.76e-03 4.366129e+00 1.951308e-02 After 3 iterations the fit converged. final sum of squares of residuals : 395.097 rel. change during last iteration : -2.04513e-09 degrees of freedom (FIT_NDF) : 52 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.75645 variance of residuals (reduced chisquare) = WSSR/ndf : 7.59802 p-value of the Chisq distribution (FIT_P) : 0 Final set of parameters Asymptotic Standard Error ======================= ========================== slope = 4.36613 +/- 0.4213 (9.65%) offset = 0.0195131 +/- 0.0006246 (3.201%) correlation matrix of the fit parameters: slope offset slope 1.000 offset -0.441 1.000