******************************************************************************* Tue May 21 15:10:40 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:2 format = x:z #datapoints = 91 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 BREAK: Need via and either parameter list or file ******************************************************************************* Tue May 21 15:10:50 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:2 format = x:z #datapoints = 91 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 1.2033812319e+03 0.00e+00 1.36e+00 3.196289e-04 2.075552e-04 -3.295084e-03 7.963866e-08 2.583130e-08 6 4.3447803517e+01 -1.21e-02 1.36e-06 1.585915e-01 4.995148e-02 2.501294e-03 -2.521021e-05 -1.457249e-06 After 6 iterations the fit converged. final sum of squares of residuals : 43.4478 rel. change during last iteration : -1.2067e-07 degrees of freedom (FIT_NDF) : 86 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.710779 variance of residuals (reduced chisquare) = WSSR/ndf : 0.505207 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.158592 +/- 0.1397 (88.12%) a1 = 0.0499515 +/- 0.007094 (14.2%) a2 = 0.00250129 +/- 0.000423 (16.91%) a3 = -2.52102e-05 +/- 5.236e-06 (20.77%) a4 = -1.45725e-06 +/- 2.286e-07 (15.69%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 a0 1.000 a1 0.000 1.000 a2 -0.745 -0.000 1.000 a3 -0.000 -0.917 0.000 1.000 a4 0.600 0.000 -0.958 -0.000 1.000 ******************************************************************************* Tue May 21 15:11:08 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:2 format = x:z #datapoints = 91 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 4.3447803517e+01 0.00e+00 1.56e+00 1.585915e-01 4.995148e-02 2.501294e-03 -2.521021e-05 -1.457249e-06 1 4.3447803517e+01 -3.27e-11 1.56e-01 1.585915e-01 4.995148e-02 2.501294e-03 -2.521021e-05 -1.457249e-06 After 1 iterations the fit converged. final sum of squares of residuals : 43.4478 rel. change during last iteration : -3.27079e-16 degrees of freedom (FIT_NDF) : 86 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.710779 variance of residuals (reduced chisquare) = WSSR/ndf : 0.505207 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.158592 +/- 0.1397 (88.12%) a1 = 0.0499515 +/- 0.007094 (14.2%) a2 = 0.00250129 +/- 0.000423 (16.91%) a3 = -2.52102e-05 +/- 5.236e-06 (20.77%) a4 = -1.45725e-06 +/- 2.286e-07 (15.69%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 a0 1.000 a1 -0.000 1.000 a2 -0.745 0.000 1.000 a3 0.000 -0.917 -0.000 1.000 a4 0.600 -0.000 -0.958 0.000 1.000 ******************************************************************************* Tue May 21 15:11:46 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z #datapoints = 91 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 4.0785921795e+02 0.00e+00 1.56e+00 1.585915e-01 4.995148e-02 2.501294e-03 -2.521021e-05 -1.457249e-06 4 4.3447803517e+01 -4.12e-07 1.56e-04 -1.585915e-01 -4.995148e-02 -2.501294e-03 2.521021e-05 1.457249e-06 After 4 iterations the fit converged. final sum of squares of residuals : 43.4478 rel. change during last iteration : -4.11759e-12 degrees of freedom (FIT_NDF) : 86 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.710779 variance of residuals (reduced chisquare) = WSSR/ndf : 0.505207 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.158592 +/- 0.1397 (88.12%) a1 = -0.0499515 +/- 0.007094 (14.2%) a2 = -0.00250129 +/- 0.000423 (16.91%) a3 = 2.52102e-05 +/- 5.236e-06 (20.77%) a4 = 1.45725e-06 +/- 2.286e-07 (15.69%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 a0 1.000 a1 -0.000 1.000 a2 -0.745 0.000 1.000 a3 0.000 -0.917 -0.000 1.000 a4 0.600 -0.000 -0.958 0.000 1.000 ******************************************************************************* Tue May 21 15:12:57 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:($2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 3.2466417189e+02 0.00e+00 6.15e-01 -1.585915e-01 -4.995148e-02 -2.501294e-03 2.521021e-05 1.457249e-06 4 1.6777291559e+00 -1.74e-04 6.15e-05 4.243196e-02 -2.056533e-02 3.657194e-03 1.109284e-04 -3.036348e-06 After 4 iterations the fit converged. final sum of squares of residuals : 1.67773 rel. change during last iteration : -1.74164e-09 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.186956 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0349527 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.042432 +/- 0.04497 (106%) a1 = -0.0205653 +/- 0.005676 (27.6%) a2 = 0.00365719 +/- 0.0003349 (9.158%) a3 = 0.000110928 +/- 1.886e-05 (17%) a4 = -3.03635e-06 +/- 6.871e-07 (22.63%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 a0 1.000 a1 0.093 1.000 a2 -0.692 -0.454 1.000 a3 -0.063 -0.917 0.452 1.000 a4 0.333 0.768 -0.790 -0.874 1.000 ******************************************************************************* Tue May 21 15:13:34 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:($2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values Warning: Initial value of parameter 'a0' is zero. Warning: Initial value of parameter 'a1' is zero. Warning: Initial value of parameter 'a3' is zero. Warning: Initial value of parameter 'a4' is zero. iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 3.4284232329e+02 0.00e+00 5.24e-01 1.000000e-30 1.000000e-30 -3.000000e-03 1.000000e-30 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:14:07 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 3.9943589334e+02 0.00e+00 6.17e-01 -1.958366e-02 1.000000e-30 3.558260e-03 1.000000e-30 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:14:50 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 3.7551785952e+00 0.00e+00 6.17e-01 1.958366e-02 1.000000e-30 -3.558260e-03 1.000000e-30 1.002001e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:16:15 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a4 0 3.7552794894e+00 0.00e+00 6.91e-01 1.958366e-02 1.000000e-30 -3.561818e-03 1.003003e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:16:19 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 0 3.7551785952e+00 0.00e+00 7.97e-01 1.958372e-02 -3.558260e-03 1.004006e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:16:28 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x+a2*x**2+a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 3.7551785952e+00 0.00e+00 9.76e-01 1.958372e-02 -3.558260e-03 1 3.7551785952e+00 -3.55e-11 9.76e-02 1.958372e-02 -3.558260e-03 After 1 iterations the fit converged. final sum of squares of residuals : 3.75518 rel. change during last iteration : -3.54781e-16 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.27135 variance of residuals (reduced chisquare) = WSSR/ndf : 0.073631 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0195837 +/- 0.05193 (265.2%) a2 = -0.00355826 +/- 0.0001339 (3.764%) correlation matrix of the fit parameters: a0 a2 a0 1.000 a2 -0.696 1.000 ******************************************************************************* Tue May 21 15:17:18 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 5.1662696010e+00 0.00e+00 9.76e-01 1.958372e-02 -3.558260e-03 3 3.7661441980e+00 -5.21e-01 9.76e-04 2.139842e-02 -3.142365e-03 After 3 iterations the fit converged. final sum of squares of residuals : 3.76614 rel. change during last iteration : -5.20897e-06 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.271746 variance of residuals (reduced chisquare) = WSSR/ndf : 0.073846 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0213984 +/- 0.05201 (243%) a2 = -0.00314236 +/- 0.0001341 (4.268%) correlation matrix of the fit parameters: a0 a2 a0 1.000 a2 -0.696 1.000 ******************************************************************************* Tue May 21 15:17:26 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 3.7661441980e+00 0.00e+00 5.45e-01 2.139842e-02 1.000000e-30 -3.142365e-03 1.000000e-30 1.005010e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:17:30 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 0 3.7661441979e+00 0.00e+00 6.09e-01 2.139873e-02 1.000000e-30 -3.142365e-03 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:17:32 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 0 3.7661441978e+00 0.00e+00 7.04e-01 2.139897e-02 1.000000e-30 -3.142365e-03 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:17:35 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 3.7662228848e+00 0.00e+00 8.63e-01 2.139914e-02 -3.145508e-03 2 3.7661441966e+00 -2.09e-04 8.63e-03 2.140362e-02 -3.142374e-03 After 2 iterations the fit converged. final sum of squares of residuals : 3.76614 rel. change during last iteration : -2.09282e-09 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.271746 variance of residuals (reduced chisquare) = WSSR/ndf : 0.073846 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0214036 +/- 0.05201 (243%) a2 = -0.00314237 +/- 0.0001341 (4.268%) correlation matrix of the fit parameters: a0 a2 a0 1.000 a2 -0.696 1.000 ******************************************************************************* Tue May 21 15:17:38 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a3 0 3.7661441966e+00 0.00e+00 7.04e-01 2.140362e-02 -3.142374e-03 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:17:43 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 3.7661441966e+00 0.00e+00 8.62e-01 2.140368e-02 -3.142374e-03 1 3.7661441965e+00 -1.35e-07 8.62e-02 2.140372e-02 -3.142374e-03 After 1 iterations the fit converged. final sum of squares of residuals : 3.76614 rel. change during last iteration : -1.35132e-12 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.271746 variance of residuals (reduced chisquare) = WSSR/ndf : 0.073846 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0214037 +/- 0.05201 (243%) a2 = -0.00314237 +/- 0.0001341 (4.268%) correlation matrix of the fit parameters: a0 a2 a0 1.000 a2 -0.696 1.000 ******************************************************************************* Tue May 21 15:18:29 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 wave_number 0 3.7661441965e+00 0.00e+00 7.26e-01 2.140372e-02 -3.142374e-03 2.510575e-02 34 3.7559668929e+00 -9.37e-01 7.26e-02 2.060307e-02 -3.446559e-03 1.288665e-02 After 34 iterations the fit converged. final sum of squares of residuals : 3.75597 rel. change during last iteration : -9.37013e-06 degrees of freedom (FIT_NDF) : 50 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.274079 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0751193 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0206031 +/- 0.0656 (318.4%) a2 = -0.00344656 +/- 0.01716 (498%) wave_number = 0.0128867 +/- 0.9874 (7662%) correlation matrix of the fit parameters: a0 a2 wave_n a0 1.000 a2 0.596 1.000 wave_number 0.600 1.000 1.000 ******************************************************************************* Tue May 21 15:18:38 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 wave_number amp 0 3.7559668929e+00 0.00e+00 6.70e-01 2.060307e-02 -3.446559e-03 1.288665e-02 1.380840e+00 1 3.7559550130e+00 -3.16e-01 6.70e-02 2.058056e-02 -3.447370e-03 1.284325e-02 1.379681e+00 After 1 iterations the fit converged. final sum of squares of residuals : 3.75596 rel. change during last iteration : -3.16297e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.276861 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0766521 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0205806 +/- 0.07638 (371.1%) a2 = -0.00344737 +/- 24.56 (7.125e+05%) wave_number = 0.0128432 +/- 1393 (1.085e+07%) amp = 1.37968 +/- 5.973e+05 (4.329e+07%) correlation matrix of the fit parameters: a0 a2 wave_n amp a0 1.000 a2 -0.497 1.000 wave_number 0.498 -1.000 1.000 amp -0.497 1.000 -1.000 1.000 ******************************************************************************* Tue May 21 15:18:53 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a1 wave_number amp 0 3.7559550130e+00 0.00e+00 5.99e-01 2.058056e-02 -3.447370e-03 1.000000e-30 1.284325e-02 1.379681e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:18:57 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 wave_number amp 0 3.7559414709e+00 0.00e+00 6.70e-01 2.055330e-02 -3.448362e-03 1.278995e-02 1.379631e+00 1 3.7559302443e+00 -2.99e-01 6.70e-02 2.053208e-02 -3.449024e-03 1.274816e-02 1.378506e+00 After 1 iterations the fit converged. final sum of squares of residuals : 3.75593 rel. change during last iteration : -2.98902e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.27686 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0766516 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0205321 +/- 0.07638 (372%) a2 = -0.00344902 +/- 25.3 (7.337e+05%) wave_number = 0.0127482 +/- 1447 (1.135e+07%) amp = 1.37851 +/- 6.245e+05 (4.53e+07%) correlation matrix of the fit parameters: a0 a2 wave_n amp a0 1.000 a2 -0.497 1.000 wave_number 0.498 -1.000 1.000 amp -0.497 1.000 -1.000 1.000 ******************************************************************************* Tue May 21 15:19:02 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a3 wave_number amp 0 3.7559302443e+00 0.00e+00 6.00e-01 2.053208e-02 -3.449024e-03 1.002001e-30 1.274816e-02 1.378506e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:19:06 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 wave_number amp 0 3.7559175816e+00 0.00e+00 6.00e-01 2.050636e-02 -3.449971e-03 1.006015e-30 1.269686e-02 1.378499e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:19:10 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 wave_number amp 0 3.7559052621e+00 0.00e+00 6.71e-01 2.048146e-02 -3.450787e-03 1.264656e-02 1.378513e+00 1 3.7558950758e+00 -2.71e-01 6.71e-02 2.046205e-02 -3.451401e-03 1.260711e-02 1.377440e+00 After 1 iterations the fit converged. final sum of squares of residuals : 3.7559 rel. change during last iteration : -2.71208e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.276859 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0766509 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0204621 +/- 0.07638 (373.3%) a2 = -0.0034514 +/- 26.46 (7.666e+05%) wave_number = 0.0126071 +/- 1531 (1.214e+07%) amp = 1.37744 +/- 6.676e+05 (4.847e+07%) correlation matrix of the fit parameters: a0 a2 wave_n amp a0 1.000 a2 -0.497 1.000 wave_number 0.498 -1.000 1.000 amp -0.497 1.000 -1.000 1.000 ******************************************************************************* Tue May 21 15:19:24 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values Warning: Initial value of parameter 'a1' is zero. iter chisq delta/lim lambda a0 a2 wave_number amp a1 0 3.7558950758e+00 0.00e+00 6.00e-01 2.046205e-02 -3.451401e-03 1.260711e-02 1.377440e+00 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:19:26 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 wave_number amp a2 0 3.7558828394e+00 0.00e+00 6.00e-01 2.043853e-02 -3.452287e-03 1.255863e-02 1.376119e+00 -3.452287e-03 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:19:28 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values Warning: Initial value of parameter 'a3' is zero. iter chisq delta/lim lambda a0 a2 wave_number amp a3 0 3.7559660049e+00 0.00e+00 6.01e-01 2.041573e-02 -3.456604e-03 1.251112e-02 1.374820e+00 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:19:30 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values Warning: Initial value of parameter 'a4' is zero. iter chisq delta/lim lambda a0 a2 wave_number amp a4 0 3.7558483455e+00 0.00e+00 6.01e-01 2.037246e-02 -3.454836e-03 1.241797e-02 1.372248e+00 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Tue May 21 15:19:33 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-20.0000 : 32.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 wave_number amp 0 3.7558376642e+00 0.00e+00 6.72e-01 2.035169e-02 -3.455640e-03 1.237321e-02 1.371014e+00 1 3.7558293791e+00 -2.21e-01 6.72e-02 2.033549e-02 -3.456268e-03 1.233808e-02 1.370043e+00 After 1 iterations the fit converged. final sum of squares of residuals : 3.75583 rel. change during last iteration : -2.20593e-06 degrees of freedom (FIT_NDF) : 49 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.276857 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0766496 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.0203355 +/- 0.07638 (375.6%) a2 = -0.00345627 +/- 28.85 (8.346e+05%) wave_number = 0.0123381 +/- 1714 (1.389e+07%) amp = 1.37004 +/- 7.599e+05 (5.546e+07%) correlation matrix of the fit parameters: a0 a2 wave_n amp a0 1.000 a2 -0.497 1.000 wave_number 0.498 -1.000 1.000 amp -0.497 1.000 -1.000 1.000 ******************************************************************************* Tue May 21 15:20:58 2019 FIT: data read from 'efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-18.0000 : 32.0000] #datapoints = 51 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 wave_number amp 0 1.8568787005e-01 0.00e+00 6.72e-01 2.033549e-02 -3.456268e-03 1.233808e-02 1.370043e+00 151 1.7123655811e-02 -8.86e-02 6.72e-03 -2.885889e-03 -2.504333e-03 3.531625e-02 1.983617e+00 After 151 iterations the fit converged. final sum of squares of residuals : 0.0171237 rel. change during last iteration : -8.86142e-07 degrees of freedom (FIT_NDF) : 47 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0190875 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000364333 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.00288589 +/- 0.005303 (183.8%) a2 = -0.00250433 +/- 0.02892 (1155%) wave_number = 0.0353162 +/- 0.436 (1235%) amp = 1.98362 +/- 95.29 (4804%) correlation matrix of the fit parameters: a0 a2 wave_n amp a0 1.000 a2 -0.492 1.000 wave_number 0.498 -1.000 1.000 amp -0.495 1.000 -1.000 1.000 ******************************************************************************* Tue May 21 21:07:07 2019 FIT: data read from dir.'/efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-18.0000 : 34.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 8.2259216151e+12 0.00e+00 1.44e+05 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 490 9.6631916479e-03 -5.42e-01 1.44e-02 4.389005e-03 1.424755e-03 -3.115051e-03 -2.270248e-08 1.279045e-07 1.390725e+00 3.228002e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00966319 rel. change during last iteration : -5.42146e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144938 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000210069 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.004389 +/- 0.004443 (101.2%) a1 = 0.00142476 +/- 0.0005168 (36.28%) a2 = -0.00311505 +/- 8.424 (2.704e+05%) a3 = -2.27025e-08 +/- 2.151e-06 (9473%) a4 = 1.27905e-07 +/- 0.0003589 (2.806e+05%) amp = 1.39072 +/- 2.44e+04 (1.754e+06%) wave_number = 0.03228 +/- 95.44 (2.957e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.113 1.000 a2 -0.447 0.064 1.000 a3 -0.157 -0.912 0.017 1.000 a4 0.445 -0.065 -1.000 -0.015 1.000 amp -0.447 0.064 1.000 0.017 -1.000 1.000 wave_number 0.448 -0.063 -1.000 -0.018 1.000 -1.000 1.000 ******************************************************************************* Tue May 21 21:09:41 2019 FIT: data read from dir.'/efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-18.0000 : 34.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 5.6284542968e+01 0.00e+00 9.48e-01 4.389005e-03 1.424755e-03 -3.115051e-03 -2.270248e-08 1.279045e-07 1.500000e+00 7.800000e-02 91 9.6012361919e-03 -9.93e-01 9.48e-03 4.304373e-03 1.426115e-03 -3.565418e-03 -2.265324e-08 1.771892e-07 1.316248e+00 2.028535e-02 After 91 iterations the fit converged. final sum of squares of residuals : 0.00960124 rel. change during last iteration : -9.92874e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144472 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000208723 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00430437 +/- 0.004425 (102.8%) a1 = 0.00142611 +/- 0.0005151 (36.12%) a2 = -0.00356542 +/- 136.1 (3.818e+06%) a3 = -2.26532e-08 +/- 2.144e-06 (9463%) a4 = 1.77189e-07 +/- 0.002318 (1.308e+06%) amp = 1.31625 +/- 9.941e+05 (7.553e+07%) wave_number = 0.0202854 +/- 2561 (1.262e+07%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.114 1.000 a2 -0.448 0.061 1.000 a3 -0.158 -0.912 0.021 1.000 a4 0.447 -0.062 -1.000 -0.020 1.000 amp -0.448 0.061 1.000 0.021 -1.000 1.000 wave_number 0.448 -0.061 -1.000 -0.021 1.000 -1.000 1.000 ******************************************************************************* Tue May 21 21:15:20 2019 FIT: data read from dir.'/efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-18.0000 : 34.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 7.7387131298e+01 0.00e+00 9.90e-01 4.304373e-03 1.426115e-03 -3.565418e-03 -2.265324e-08 1.771892e-07 1.500000e+00 7.800000e-02 33 9.6006974504e-03 -9.72e-01 9.90e-03 4.306149e-03 1.426083e-03 -3.602768e-03 -2.264802e-08 1.787181e-07 1.166345e+00 2.001050e-02 After 33 iterations the fit converged. final sum of squares of residuals : 0.0096007 rel. change during last iteration : -9.7215e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144468 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000208711 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00430615 +/- 0.004425 (102.8%) a1 = 0.00142608 +/- 0.0005151 (36.12%) a2 = -0.00360277 +/- 147.7 (4.101e+06%) a3 = -2.2648e-08 +/- 2.144e-06 (9465%) a4 = 1.78718e-07 +/- 0.002448 (1.37e+06%) amp = 1.16634 +/- 1.109e+06 (9.505e+07%) wave_number = 0.0200105 +/- 3179 (1.589e+07%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.114 1.000 a2 -0.448 0.061 1.000 a3 -0.158 -0.912 0.021 1.000 a4 0.447 -0.062 -1.000 -0.020 1.000 amp -0.448 0.061 1.000 0.021 -1.000 1.000 wave_number 0.448 -0.061 -1.000 -0.021 1.000 -1.000 1.000 ******************************************************************************* Wed May 22 06:28:03 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 5.2648036507e+13 0.00e+00 3.10e+05 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:28:23 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values Warning: Initial value of parameter 'a2' is zero. iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 1.8245448661e-10 0.00e+00 1.43e-07 -3.763589e-07 -5.473410e-10 1.000000e-30 7.132201e-13 4.623421e-14 1.000000e+00 1.001000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:28:31 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 0 6.6544275504e-12 0.00e+00 6.37e-07 -7.794714e-07 2.556143e-09 1.000000e-30 -3.935190e-12 -1.449021e-12 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:28:36 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 0 6.6545390857e-12 0.00e+00 4.51e-07 -7.794714e-07 2.556143e-09 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:28:39 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 6.6544983166e-12 0.00e+00 5.51e-07 -7.787678e-07 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:28:50 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 6.6544983159e-12 0.00e+00 5.51e-07 -7.787649e-07 1.002001e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:29:00 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 3.8689222940e+05 0.00e+00 4.95e+01 -7.787649e-07 -1.000000e-01 4 6.4208906225e-12 -4.61e-04 4.95e-03 -7.787649e-07 -7.770493e-11 After 4 iterations the fit converged. final sum of squares of residuals : 6.42089e-12 rel. change during last iteration : -4.6131e-09 degrees of freedom (FIT_NDF) : 77 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.8877e-07 variance of residuals (reduced chisquare) = WSSR/ndf : 8.33882e-14 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -7.78765e-07 +/- 4.866e-08 (6.249%) a2 = -7.77049e-11 +/- 6.954e-11 (89.49%) correlation matrix of the fit parameters: a0 a2 a0 1.000 a2 -0.744 1.000 ******************************************************************************* Wed May 22 06:30:50 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 6.2607679376e-12 0.00e+00 9.46e-07 -7.787649e-07 -1.554099e-09 3 6.2109722437e-14 -8.79e-03 9.46e-10 -3.853331e-07 -2.111691e-09 After 3 iterations the fit converged. final sum of squares of residuals : 6.21097e-14 rel. change during last iteration : -8.78926e-08 degrees of freedom (FIT_NDF) : 77 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.84011e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.0662e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -3.85333e-07 +/- 4.786e-09 (1.242%) a2 = -2.11169e-09 +/- 6.839e-12 (0.3239%) correlation matrix of the fit parameters: a0 a2 a0 1.000 a2 -0.744 1.000 ******************************************************************************* Wed May 22 06:31:07 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values Warning: Initial value of parameter 'a1' is zero. iter chisq delta/lim lambda a0 a2 a1 0 6.2109722437e-14 0.00e+00 8.82e-07 -3.853331e-07 -2.111691e-09 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:31:10 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values Warning: Initial value of parameter 'a3' is zero. iter chisq delta/lim lambda a0 a2 a3 0 6.2109722437e-14 0.00e+00 8.82e-07 -3.853331e-07 -2.111691e-09 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:31:12 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values Warning: Initial value of parameter 'a4' is zero. iter chisq delta/lim lambda a0 a2 a4 0 6.2109722437e-14 0.00e+00 8.82e-07 -3.853331e-07 -2.111691e-09 1.000000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:31:22 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 0 5.3120570750e+07 0.00e+00 4.73e+02 -3.853331e-07 -2.111691e-09 1.000000e-03 4 6.1891717483e-14 -4.80e-01 4.73e-02 -3.853331e-07 -2.111691e-09 2.025824e-15 After 4 iterations the fit converged. final sum of squares of residuals : 6.18917e-14 rel. change during last iteration : -4.80226e-06 degrees of freedom (FIT_NDF) : 76 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.85371e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 8.14365e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -3.85333e-07 +/- 5.997e-09 (1.556%) a2 = -2.11169e-09 +/- 2.375e-11 (1.125%) a4 = 2.02582e-15 +/- 1.687e-14 (832.9%) correlation matrix of the fit parameters: a0 a2 a4 a0 1.000 a2 -0.745 1.000 a4 0.597 -0.957 1.000 ******************************************************************************* Wed May 22 06:31:47 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a1 0 6.1891717483e-14 0.00e+00 7.64e-07 -3.853331e-07 -2.111691e-09 2.025824e-15 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:32:00 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 0 5.8060718105e-14 0.00e+00 7.80e-07 -3.773450e-07 -2.162391e-09 3.762568e-14 1.000000e+00 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:32:24 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 +a6*x**6 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 0 9.1884242332e+19 0.00e+00 5.39e+08 -3.773450e-07 -2.162391e-09 3.762568e-14 1.001000e+00 5 5.7958021120e-14 -1.58e-06 5.39e+03 -3.773450e-07 -2.162391e-09 3.762568e-14 -1.058260e-18 After 5 iterations the fit converged. final sum of squares of residuals : 5.7958e-14 rel. change during last iteration : -1.58444e-11 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.77988e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.72774e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -3.77345e-07 +/- 6.797e-09 (1.801%) a2 = -2.16239e-09 +/- 5.134e-11 (2.374%) a4 = 3.76257e-14 +/- 8.802e-14 (233.9%) a6 = -1.05826e-18 +/- 3.995e-17 (3775%) correlation matrix of the fit parameters: a0 a2 a4 a6 a0 1.000 a2 -0.745 1.000 a4 0.598 -0.958 1.000 a6 -0.511 0.893 -0.982 1.000 ******************************************************************************* Wed May 22 06:32:53 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$2) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 +a6*x**6 +a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 a8 0 1.7632916747e+26 0.00e+00 6.68e+11 -3.773450e-07 -2.162391e-09 3.762568e-14 -1.058260e-18 1.000000e+00 5 5.7782664903e-14 -5.12e-01 6.68e+06 -3.773450e-07 -2.162391e-09 3.762568e-14 -1.058260e-18 -9.972373e-22 After 5 iterations the fit converged. final sum of squares of residuals : 5.77827e-14 rel. change during last iteration : -5.12283e-06 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.79436e-08 variance of residuals (reduced chisquare) = WSSR/ndf : 7.80847e-16 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -3.77345e-07 +/- 7.674e-09 (2.034%) a2 = -2.16239e-09 +/- 9.37e-11 (4.333%) a4 = 3.76257e-14 +/- 2.82e-13 (749.6%) a6 = -1.05826e-18 +/- 2.92e-16 (2.759e+04%) a8 = -9.97237e-22 +/- 9.665e-20 (9692%) correlation matrix of the fit parameters: a0 a2 a4 a6 a8 a0 1.000 a2 -0.745 1.000 a4 0.599 -0.958 1.000 a6 -0.513 0.894 -0.983 1.000 a8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 06:33:47 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 +a6*x**6 +a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 a8 0 1.3694357109e+01 0.00e+00 6.98e-07 -3.773450e-07 -2.162391e-09 3.762568e-14 -1.058260e-18 -9.972373e-22 7 2.3154877016e-03 -2.29e-02 6.98e-14 -9.245239e-02 -5.091152e-04 -2.933007e-08 1.248009e-10 -6.708221e-14 After 7 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -2.29379e-07 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.0924524 +/- 0.001536 (1.662%) a2 = -0.000509115 +/- 1.876e-05 (3.684%) a4 = -2.93301e-08 +/- 5.646e-08 (192.5%) a6 = 1.24801e-10 +/- 5.846e-11 (46.84%) a8 = -6.70822e-14 +/- 1.935e-14 (28.84%) correlation matrix of the fit parameters: a0 a2 a4 a6 a8 a0 1.000 a2 -0.745 1.000 a4 0.599 -0.958 1.000 a6 -0.513 0.894 -0.983 1.000 a8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 06:36:40 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 a6 a8 0 2.3154877016e-03 0.00e+00 1.53e-01 -9.245239e-02 1.002001e-30 -5.091152e-04 1.001000e-30 -2.933007e-08 1.248009e-10 -6.708221e-14 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:36:43 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 a6 a8 0 2.3162811869e-03 0.00e+00 1.53e-01 -9.245239e-02 1.002001e-30 -5.091152e-04 1.001000e-30 -2.933007e-08 1.248009e-10 -6.714929e-14 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:37:27 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 a6 a8 0 2.3154877067e-03 0.00e+00 1.53e-01 -9.245240e-02 1.002001e-30 -5.091150e-04 1.001000e-30 -2.933010e-08 1.248010e-10 -6.708220e-14 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:37:41 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 a6 a8 0 2.3154877067e-03 0.00e+00 1.53e-01 -9.245240e-02 1.002001e-30 -5.091150e-04 1.001000e-30 -2.933010e-08 1.248010e-10 -6.708220e-14 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:38:22 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 0 2.3162811641e-03 0.00e+00 2.60e-01 -9.245239e-02 -5.091152e-04 2 2.3156843485e-03 -9.66e-02 2.60e-03 -9.249011e-02 -5.089562e-04 After 2 iterations the fit converged. final sum of squares of residuals : 0.00231568 rel. change during last iteration : -9.65627e-07 degrees of freedom (FIT_NDF) : 77 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00548396 variance of residuals (reduced chisquare) = WSSR/ndf : 3.00738e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.0924901 +/- 0.0009241 (0.9992%) a2 = -0.000508956 +/- 1.321e-06 (0.2595%) correlation matrix of the fit parameters: a0 a2 a0 1.000 a2 -0.744 1.000 ******************************************************************************* Wed May 22 06:38:25 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a3 0 2.3156843485e-03 0.00e+00 2.12e-01 -9.249011e-02 -5.089562e-04 1.001000e-30 BREAK: Singular matrix in Invert_RtR ******************************************************************************* Wed May 22 06:38:29 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 0 2.3156843485e-03 0.00e+00 2.13e-01 -9.249013e-02 -5.089562e-04 -2.933010e-08 1 2.3156667806e-03 -7.59e-01 2.13e-02 -9.248787e-02 -5.089727e-04 -2.931742e-08 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231567 rel. change during last iteration : -7.58657e-06 degrees of freedom (FIT_NDF) : 76 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0055199 variance of residuals (reduced chisquare) = WSSR/ndf : 3.04693e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.0924879 +/- 0.00116 (1.254%) a2 = -0.000508973 +/- 4.595e-06 (0.9027%) a4 = -2.93174e-08 +/- 3.264e-09 (11.13%) correlation matrix of the fit parameters: a0 a2 a4 a0 1.000 a2 -0.745 1.000 a4 0.597 -0.957 1.000 ******************************************************************************* Wed May 22 06:38:32 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 0 2.3156667806e-03 0.00e+00 1.96e-01 -9.248787e-02 -5.089727e-04 -2.931742e-08 1.248009e-10 2 2.3154907679e-03 -3.88e-01 1.96e-03 -9.244728e-02 -5.091524e-04 -2.935180e-08 1.249284e-10 After 2 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -3.87552e-06 degrees of freedom (FIT_NDF) : 75 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00555637 variance of residuals (reduced chisquare) = WSSR/ndf : 3.08732e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.0924473 +/- 0.001359 (1.47%) a2 = -0.000509152 +/- 1.026e-05 (2.015%) a4 = -2.93518e-08 +/- 1.759e-08 (59.94%) a6 = 1.24928e-10 +/- 7.986e-12 (6.392%) correlation matrix of the fit parameters: a0 a2 a4 a6 a0 1.000 a2 -0.745 1.000 a4 0.598 -0.958 1.000 a6 -0.511 0.893 -0.982 1.000 ******************************************************************************* Wed May 22 06:38:35 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 a8 0 2.3154907679e-03 0.00e+00 1.81e-01 -9.244728e-02 -5.091524e-04 -2.935180e-08 1.249284e-10 -6.714932e-14 1 2.3154903899e-03 -1.63e-02 1.81e-02 -9.244728e-02 -5.091510e-04 -2.935233e-08 1.249229e-10 -6.714555e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -1.6329e-07 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.0924473 +/- 0.001536 (1.662%) a2 = -0.000509151 +/- 1.876e-05 (3.684%) a4 = -2.93523e-08 +/- 5.646e-08 (192.3%) a6 = 1.24923e-10 +/- 5.846e-11 (46.79%) a8 = -6.71456e-14 +/- 1.935e-14 (28.81%) correlation matrix of the fit parameters: a0 a2 a4 a6 a8 a0 1.000 a2 -0.745 1.000 a4 0.599 -0.958 1.000 a6 -0.513 0.894 -0.983 1.000 a8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 06:38:55 2019 FIT: data read from 'pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 a8 0 2.3154903899e-03 0.00e+00 1.81e-01 -9.244728e-02 -5.091510e-04 -2.935233e-08 1.249229e-10 -6.714555e-14 1 2.3154900720e-03 -1.37e-02 1.81e-02 -9.244755e-02 -5.091485e-04 -2.935284e-08 1.249174e-10 -6.714226e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -1.37283e-07 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.0924476 +/- 0.001536 (1.662%) a2 = -0.000509148 +/- 1.876e-05 (3.684%) a4 = -2.93528e-08 +/- 5.646e-08 (192.3%) a6 = 1.24917e-10 +/- 5.846e-11 (46.8%) a8 = -6.71423e-14 +/- 1.935e-14 (28.82%) correlation matrix of the fit parameters: a0 a2 a4 a6 a8 a0 1.000 a2 -0.745 1.000 a4 0.599 -0.958 1.000 a6 -0.513 0.894 -0.983 1.000 a8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 06:39:03 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 a8 0 2.3154877067e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3154877016e-03 -2.19e-04 1.81e-02 -9.245239e-02 -5.091152e-04 -2.933010e-08 1.248009e-10 -6.708223e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -2.19253e-09 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.0924524 +/- 0.001536 (1.662%) a2 = -0.000509115 +/- 1.876e-05 (3.684%) a4 = -2.93301e-08 +/- 5.646e-08 (192.5%) a6 = 1.24801e-10 +/- 5.846e-11 (46.84%) a8 = -6.70822e-14 +/- 1.935e-14 (28.84%) correlation matrix of the fit parameters: a0 a2 a4 a6 a8 a0 1.000 a2 -0.745 1.000 a4 0.599 -0.958 1.000 a6 -0.513 0.894 -0.983 1.000 a8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 06:39:14 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + a6*x**6 + a8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a2 a4 a6 a8 0 2.3154877067e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3154877016e-03 -2.19e-04 1.81e-02 -9.245239e-02 -5.091152e-04 -2.933010e-08 1.248009e-10 -6.708223e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -2.19253e-09 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = -0.0924524 +/- 0.001536 (1.662%) a2 = -0.000509115 +/- 1.876e-05 (3.684%) a4 = -2.93301e-08 +/- 5.646e-08 (192.5%) a6 = 1.24801e-10 +/- 5.846e-11 (46.84%) a8 = -6.70822e-14 +/- 1.935e-14 (28.84%) correlation matrix of the fit parameters: a0 a2 a4 a6 a8 a0 1.000 a2 -0.745 1.000 a4 0.599 -0.958 1.000 a6 -0.513 0.894 -0.983 1.000 a8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 06:48:35 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b1*x +b2*x**2 +b3*x**3+b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values ******************************************************************************* Wed May 22 06:49:24 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b1*x +b2*x**2 +b3*x**3+b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values ******************************************************************************* Wed May 22 06:49:32 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b2*x**2 +b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 b6 b8 0 2.3154877067e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3154877016e-03 -2.19e-04 1.81e-02 -9.245239e-02 -5.091152e-04 -2.933010e-08 1.248009e-10 -6.708223e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -2.19253e-09 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0924524 +/- 0.001536 (1.662%) b2 = -0.000509115 +/- 1.876e-05 (3.684%) b4 = -2.93301e-08 +/- 5.646e-08 (192.5%) b6 = 1.24801e-10 +/- 5.846e-11 (46.84%) b8 = -6.70822e-14 +/- 1.935e-14 (28.84%) correlation matrix of the fit parameters: b0 b2 b4 b6 b8 b0 1.000 b2 -0.745 1.000 b4 0.599 -0.958 1.000 b6 -0.513 0.894 -0.983 1.000 b8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 06:50:10 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b2*x**2 +b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 b6 b8 0 2.3154877067e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3154877016e-03 -2.19e-04 1.81e-02 -9.245239e-02 -5.091152e-04 -2.933010e-08 1.248009e-10 -6.708223e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -2.19253e-09 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0924524 +/- 0.001536 (1.662%) b2 = -0.000509115 +/- 1.876e-05 (3.684%) b4 = -2.93301e-08 +/- 5.646e-08 (192.5%) b6 = 1.24801e-10 +/- 5.846e-11 (46.84%) b8 = -6.70822e-14 +/- 1.935e-14 (28.84%) correlation matrix of the fit parameters: b0 b2 b4 b6 b8 b0 1.000 b2 -0.745 1.000 b4 0.599 -0.958 1.000 b6 -0.513 0.894 -0.983 1.000 b8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 06:50:24 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b2*x**2 +b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 b6 b8 0 2.3154877067e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3154877016e-03 -2.19e-04 1.81e-02 -9.245239e-02 -5.091152e-04 -2.933010e-08 1.248009e-10 -6.708223e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -2.19253e-09 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0924524 +/- 0.001536 (1.662%) b2 = -0.000509115 +/- 1.876e-05 (3.684%) b4 = -2.93301e-08 +/- 5.646e-08 (192.5%) b6 = 1.24801e-10 +/- 5.846e-11 (46.84%) b8 = -6.70822e-14 +/- 1.935e-14 (28.84%) correlation matrix of the fit parameters: b0 b2 b4 b6 b8 b0 1.000 b2 -0.745 1.000 b4 0.599 -0.958 1.000 b6 -0.513 0.894 -0.983 1.000 b8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Wed May 22 08:15:15 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b2*x**2 +b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 b6 b8 0 2.3154877067e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3154877016e-03 -2.19e-04 1.81e-02 -9.245239e-02 -5.091152e-04 -2.933010e-08 1.248009e-10 -6.708223e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231549 rel. change during last iteration : -2.19253e-09 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559378 variance of residuals (reduced chisquare) = WSSR/ndf : 3.12904e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0924524 +/- 0.001536 (1.662%) b2 = -0.000509115 +/- 1.876e-05 (3.684%) b4 = -2.93301e-08 +/- 5.646e-08 (192.5%) b6 = 1.24801e-10 +/- 5.846e-11 (46.84%) b8 = -6.70822e-14 +/- 1.935e-14 (28.84%) correlation matrix of the fit parameters: b0 b2 b4 b6 b8 b0 1.000 b2 -0.745 1.000 b4 0.599 -0.958 1.000 b6 -0.513 0.894 -0.983 1.000 b8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Sun Jun 30 10:02:17 2019 FIT: data read from dir.'/efield_vs_radial_offset.dat' u 1:(-$2) format = x:z x range restricted to [-18.0000 : 34.0000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = a0+a1*x +a2*x**2 +a3*x**3+a4*x**4 + amp*cos(wave_number*x)-amp fitted parameters initialized with current variable values iter chisq delta/lim lambda a0 a1 a2 a3 a4 amp wave_number 0 8.2259216644e+12 0.00e+00 1.44e+05 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 470 6.2555928562e-03 -1.06e-02 1.44e-02 1.375163e-03 2.215666e-03 -2.957718e-03 -5.505038e-06 2.237915e-07 1.394374e+00 3.498712e-02 After 470 iterations the fit converged. final sum of squares of residuals : 0.00625559 rel. change during last iteration : -1.06485e-07 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0116615 variance of residuals (reduced chisquare) = WSSR/ndf : 0.000135991 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00137516 +/- 0.003575 (260%) a1 = 0.00221567 +/- 0.0004158 (18.77%) a2 = -0.00295772 +/- 4.182 (1.414e+05%) a3 = -5.50504e-06 +/- 1.73e-06 (31.43%) a4 = 2.23791e-07 +/- 0.0002086 (9.321e+04%) amp = 1.39437 +/- 1.032e+04 (7.404e+05%) wave_number = 0.0349871 +/- 43.76 (1.251e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.113 1.000 a2 -0.446 0.065 1.000 a3 -0.157 -0.912 0.015 1.000 a4 0.445 -0.066 -1.000 -0.014 1.000 amp -0.447 0.065 1.000 0.016 -1.000 1.000 wave_number 0.448 -0.064 -1.000 -0.017 1.000 -1.000 1.000 ******************************************************************************* Mon Jul 1 00:26:20 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b2*x**2 +b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 b6 b8 0 2.8906840833e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 5 2.3999257569e-03 -3.53e-03 1.81e-06 -9.194873e-02 -5.262301e-04 4.554879e-08 2.282432e-11 -2.597127e-14 After 5 iterations the fit converged. final sum of squares of residuals : 0.00239993 rel. change during last iteration : -3.53284e-08 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00569486 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24314e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0919487 +/- 0.001564 (1.701%) b2 = -0.00052623 +/- 1.91e-05 (3.629%) b4 = 4.55488e-08 +/- 5.748e-08 (126.2%) b6 = 2.28243e-11 +/- 5.951e-11 (260.7%) b8 = -2.59713e-14 +/- 1.97e-14 (75.84%) correlation matrix of the fit parameters: b0 b2 b4 b6 b8 b0 1.000 b2 -0.745 1.000 b4 0.599 -0.958 1.000 b6 -0.513 0.894 -0.983 1.000 b8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Mon Jul 1 00:28:44 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b2*x**2 +b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 b6 b8 0 2.8906840833e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 5 2.3999257569e-03 -3.53e-03 1.81e-06 -9.194873e-02 -5.262301e-04 4.554879e-08 2.282432e-11 -2.597127e-14 After 5 iterations the fit converged. final sum of squares of residuals : 0.00239993 rel. change during last iteration : -3.53284e-08 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00569486 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24314e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0919487 +/- 0.001564 (1.701%) b2 = -0.00052623 +/- 1.91e-05 (3.629%) b4 = 4.55488e-08 +/- 5.748e-08 (126.2%) b6 = 2.28243e-11 +/- 5.951e-11 (260.7%) b8 = -2.59713e-14 +/- 1.97e-14 (75.84%) correlation matrix of the fit parameters: b0 b2 b4 b6 b8 b0 1.000 b2 -0.745 1.000 b4 0.599 -0.958 1.000 b6 -0.513 0.894 -0.983 1.000 b8 0.455 -0.835 0.950 -0.990 1.000 ******************************************************************************* Mon Jul 1 00:29:53 2019 FIT: data read from dir.'/pitch_vs_offset.dat' u 1:(-$3) format = x:z x range restricted to [-40.0000 : 38.0000] #datapoints = 79 residuals are weighted equally (unit weight) function used for fitting: k(x) k(x) = b0+b2*x**2 +b4*x**4 + b6*x**6 + b8*x**8 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 b6 b8 0 2.8906840833e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 5 2.3999257569e-03 -3.53e-03 1.81e-06 -9.194873e-02 -5.262301e-04 4.554879e-08 2.282432e-11 -2.597127e-14 After 5 iterations the fit converged. final sum of squares of residuals : 0.00239993 rel. change during last iteration : -3.53284e-08 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00569486 variance of residuals (reduced chisquare) = WSSR/ndf : 3.24314e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0919487 +/- 0.001564 (1.701%) b2 = -0.00052623 +/- 1.91e-05 (3.629%) b4 = 4.55488e-08 +/- 5.748e-08 (126.2%) b6 = 2.28243e-11 +/- 5.951e-11 (260.7%) b8 = -2.59713e-14 +/- 1.97e-14 (75.84%) correlation matrix of the fit parameters: b0 b2 b4 b6 b8 b0 1.000 b2 -0.745 1.000 b4 0.599 -0.958 1.000 b6 -0.513 0.894 -0.983 1.000 b8 0.455 -0.835 0.950 -0.990 1.000