******************************************************************************* Mon Apr 8 12:15:54 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 5.3884086722e+01 0.00e+00 9.43e-03 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.4441601350e-05 -3.80e-06 9.43e-10 6.044788e+00 -1.721588e-02 -9.998850e-01 -2.169285e-01 -1.321549e+02 After 7 iterations the fit converged. final sum of squares of residuals : 1.44416e-05 rel. change during last iteration : -3.80318e-11 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000548513 variance of residuals (reduced chisquare) = WSSR/ndf : 3.00867e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.04479 +/- 0.02024 (0.3348%) b = -0.0172159 +/- 0.002335 (13.56%) c = -0.999885 +/- 9.114e-05 (0.009115%) d = -0.216929 +/- 0.06087 (28.06%) e = -132.155 +/- 0.461 (0.3488%) correlation matrix of the fit parameters: a b c d e a 1.000 b 0.056 1.000 c -0.396 -0.009 1.000 d -0.100 -0.938 0.016 1.000 e -0.970 -0.084 0.290 0.149 1.000 ******************************************************************************* Mon Apr 8 12:15:54 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 5.2392175368e-06 0.00e+00 7.54e-01 2.279070e+02 4.753540e-01 96 3.7718140958e-07 -3.24e-02 7.54e-04 2.302272e+02 4.727963e-01 After 96 iterations the fit converged. final sum of squares of residuals : 3.77181e-07 rel. change during last iteration : -3.24487e-07 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.59983e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 7.39571e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 230.227 +/- 32.31 (14.03%) b3 = 0.472796 +/- 0.03319 (7.019%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 12:16:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 5.3884086722e+01 0.00e+00 9.43e-03 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.4441601350e-05 -3.80e-06 9.43e-10 6.044788e+00 -1.721588e-02 -9.998850e-01 -2.169285e-01 -1.321549e+02 After 7 iterations the fit converged. final sum of squares of residuals : 1.44416e-05 rel. change during last iteration : -3.80318e-11 degrees of freedom (FIT_NDF) : 48 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000548513 variance of residuals (reduced chisquare) = WSSR/ndf : 3.00867e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 6.04479 +/- 0.02024 (0.3348%) b = -0.0172159 +/- 0.002335 (13.56%) c = -0.999885 +/- 9.114e-05 (0.009115%) d = -0.216929 +/- 0.06087 (28.06%) e = -132.155 +/- 0.461 (0.3488%) correlation matrix of the fit parameters: a b c d e a 1.000 b 0.056 1.000 c -0.396 -0.009 1.000 d -0.100 -0.938 0.016 1.000 e -0.970 -0.084 0.290 0.149 1.000 ******************************************************************************* Mon Apr 8 12:16:26 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):(f($8))*1.e6 format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 53 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 5.2392175368e-06 0.00e+00 7.54e-01 2.279070e+02 4.753540e-01 96 3.7718140958e-07 -3.24e-02 7.54e-04 2.302272e+02 4.727963e-01 After 96 iterations the fit converged. final sum of squares of residuals : 3.77181e-07 rel. change during last iteration : -3.24487e-07 degrees of freedom (FIT_NDF) : 51 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 8.59983e-05 variance of residuals (reduced chisquare) = WSSR/ndf : 7.39571e-09 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 230.227 +/- 32.31 (14.03%) b3 = 0.472796 +/- 0.03319 (7.019%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Apr 8 12:16:35 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 33 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991579315e+08 0.00e+00 1.03e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 8.0307125949e-05 -1.01e-01 1.03e-04 5.429036e-04 -1.295725e-15 -8.304769e-03 1.889469e-18 After 7 iterations the fit converged. final sum of squares of residuals : 8.03071e-05 rel. change during last iteration : -1.01444e-06 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00166409 variance of residuals (reduced chisquare) = WSSR/ndf : 2.76921e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000542904 +/- 6.072e-07 (0.1118%) b = -1.29573e-15 +/- 1.187e-05 (9.165e+11%) c = -0.00830477 +/- 0.0003505 (4.22%) d = 1.88947e-18 +/- 1.822e-08 (9.645e+11%) correlation matrix of the fit parameters: a b c d a 1.000 b -0.001 1.000 c 0.563 -0.016 1.000 d 0.000 -0.192 0.003 1.000 ******************************************************************************* Mon Apr 8 12:16:36 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):($26 != 0 ? (-$4**2 / (betay)**2/4. * 1.e6):1/0) format = x:z #datapoints = 52 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 2.67e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 2.67e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804