******************************************************************************* Tue May 28 05:46:01 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 8.2259760236e+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 11 7.2303066106e+01 -9.40e-01 1.44e-01 5.719518e-01 -2.423634e-01 -1.194894e-02 3.507138e-04 3.135464e-06 1.371806e+00 3.619363e-02 After 11 iterations the fit converged. final sum of squares of residuals : 72.3031 rel. change during last iteration : -9.39771e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.25372 variance of residuals (reduced chisquare) = WSSR/ndf : 1.57181 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.571952 +/- 0.3844 (67.21%) a1 = -0.242363 +/- 0.04471 (18.45%) a2 = -0.0119489 +/- 367 (3.071e+06%) a3 = 0.000350714 +/- 0.000186 (53.04%) a4 = 3.13546e-06 +/- 0.01955 (6.236e+05%) amp = 1.37181 +/- 8.468e+05 (6.173e+07%) wave_number = 0.0361936 +/- 3779 (1.044e+07%) 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 0.066 1.000 a3 -0.157 -0.912 0.015 1.000 a4 0.445 -0.067 -1.000 -0.013 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 ******************************************************************************* Tue May 28 06:29:20 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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 28 06:32:33 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 2.3149412115e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3149410999e-03 -4.82e-03 1.81e-02 -9.245411e-02 -5.091122e-04 -2.933015e-08 1.248001e-10 -6.708227e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231494 rel. change during last iteration : -4.82051e-08 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559312 variance of residuals (reduced chisquare) = WSSR/ndf : 3.1283e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0924541 +/- 0.001536 (1.661%) b2 = -0.000509112 +/- 1.876e-05 (3.684%) b4 = -2.93302e-08 +/- 5.645e-08 (192.5%) b6 = 1.248e-10 +/- 5.845e-11 (46.83%) b8 = -6.70823e-14 +/- 1.934e-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 ******************************************************************************* Tue May 28 06:35:37 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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 28 06:37:01 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 2.3149412115e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3149410999e-03 -4.82e-03 1.81e-02 -9.245411e-02 -5.091122e-04 -2.933015e-08 1.248001e-10 -6.708227e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231494 rel. change during last iteration : -4.82051e-08 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559312 variance of residuals (reduced chisquare) = WSSR/ndf : 3.1283e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0924541 +/- 0.001536 (1.661%) b2 = -0.000509112 +/- 1.876e-05 (3.684%) b4 = -2.93302e-08 +/- 5.645e-08 (192.5%) b6 = 1.248e-10 +/- 5.845e-11 (46.83%) b8 = -6.70823e-14 +/- 1.934e-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 ******************************************************************************* Tue May 28 06:38:33 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 2.3149412115e-03 0.00e+00 1.81e-01 -9.245240e-02 -5.091150e-04 -2.933010e-08 1.248010e-10 -6.708220e-14 1 2.3149410999e-03 -4.82e-03 1.81e-02 -9.245411e-02 -5.091122e-04 -2.933015e-08 1.248001e-10 -6.708227e-14 After 1 iterations the fit converged. final sum of squares of residuals : 0.00231494 rel. change during last iteration : -4.82051e-08 degrees of freedom (FIT_NDF) : 74 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00559312 variance of residuals (reduced chisquare) = WSSR/ndf : 3.1283e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0924541 +/- 0.001536 (1.661%) b2 = -0.000509112 +/- 1.876e-05 (3.684%) b4 = -2.93302e-08 +/- 5.645e-08 (192.5%) b6 = 1.248e-10 +/- 5.845e-11 (46.83%) b8 = -6.70823e-14 +/- 1.934e-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 ******************************************************************************* Tue May 28 06:38:41 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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 28 06:39:32 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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 28 06:41:05 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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 28 06:43:00 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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 28 06:43:42 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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 28 06:44:41 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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 28 06:45:05 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 8.2259216541e+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 9.6231779245e-03 -1.31e-01 1.44e-02 4.412975e-03 1.418257e-03 -3.119073e-03 5.610439e-08 1.233624e-07 1.390565e+00 3.218257e-02 After 490 iterations the fit converged. final sum of squares of residuals : 0.00962318 rel. change during last iteration : -1.30961e-06 degrees of freedom (FIT_NDF) : 46 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0144637 variance of residuals (reduced chisquare) = WSSR/ndf : 0.0002092 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00441298 +/- 0.004434 (100.5%) a1 = 0.00141826 +/- 0.0005158 (36.37%) a2 = -0.00311907 +/- 8.56 (2.745e+05%) a3 = 5.61044e-08 +/- 2.146e-06 (3825%) a4 = 1.23362e-07 +/- 0.0003625 (2.939e+05%) amp = 1.39057 +/- 2.494e+04 (1.794e+06%) wave_number = 0.0321826 +/- 97.27 (3.023e+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