******************************************************************************* Fri Apr 26 21:44:57 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b1*x +b0 + b3*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b1 b2 b3 0 1.3745661791e+08 0.00e+00 1.02e+03 1.000000e-01 1.000000e-01 5.800000e-03 1.000000e-01 7 7.7516748795e-05 -8.61e-02 1.02e-04 -8.292103e-03 -1.139225e-05 5.428106e-04 6.892472e-09 After 7 iterations the fit converged. final sum of squares of residuals : 7.75167e-05 rel. change during last iteration : -8.61265e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163493 variance of residuals (reduced chisquare) = WSSR/ndf : 2.67299e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0082921 +/- 0.0003382 (4.078%) b1 = -1.13922e-05 +/- 3.755e-05 (329.6%) b2 = 0.000542811 +/- 5.968e-07 (0.1099%) b3 = 6.89247e-09 +/- 3.217e-08 (466.8%) correlation matrix of the fit parameters: b0 b1 b2 b3 b0 1.000 b1 -0.025 1.000 b2 0.538 0.035 1.000 b3 0.018 -0.901 -0.024 1.000 ******************************************************************************* Fri Apr 26 21:44:58 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Fri Apr 26 21:45:27 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.7049333454e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0535773153e-03 -2.57e-09 1.43e-09 5.226253e+00 -3.657105e-02 -9.987876e-01 1.082504e-01 -1.141812e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105358 rel. change during last iteration : -2.57267e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00437675 variance of residuals (reduced chisquare) = WSSR/ndf : 1.9156e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22625 +/- 0.08245 (1.578%) b = -0.0365711 +/- 0.0171 (46.76%) c = -0.998788 +/- 0.000698 (0.06989%) d = 0.10825 +/- 0.4145 (382.9%) e = -114.181 +/- 1.585 (1.388%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Fri Apr 26 21:45:27 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 = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 367.154 +/- 48.41 (13.18%) b3 = 0.374564 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Fri Apr 26 21:45:59 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.7049333454e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0535773153e-03 -2.57e-09 1.43e-09 5.226253e+00 -3.657105e-02 -9.987876e-01 1.082504e-01 -1.141812e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105358 rel. change during last iteration : -2.57267e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00437675 variance of residuals (reduced chisquare) = WSSR/ndf : 1.9156e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22625 +/- 0.08245 (1.578%) b = -0.0365711 +/- 0.0171 (46.76%) c = -0.998788 +/- 0.000698 (0.06989%) d = 0.10825 +/- 0.4145 (382.9%) e = -114.181 +/- 1.585 (1.388%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.558 1.000 c -0.396 0.068 1.000 d 0.622 -0.941 -0.070 1.000 e -0.912 0.726 0.212 -0.838 1.000 ******************************************************************************* Fri Apr 26 21:45:59 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 = 60 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9720989095e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3141 2.9118436955e-06 -3.75e-01 1.24e-03 3.671541e+02 3.745637e-01 After 3141 iterations the fit converged. final sum of squares of residuals : 2.91184e-06 rel. change during last iteration : -3.74605e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000224063 variance of residuals (reduced chisquare) = WSSR/ndf : 5.02042e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 367.154 +/- 48.41 (13.18%) b3 = 0.374564 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Fri Apr 26 21:46:03 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 09:03:41 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.6022146990e+01 0.00e+00 1.42e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0533710125e-03 -3.33e-09 1.42e-09 5.225058e+00 -3.645784e-02 -9.987863e-01 1.106456e-01 -1.141800e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105337 rel. change during last iteration : -3.33483e-14 degrees of freedom (FIT_NDF) : 54 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00441666 variance of residuals (reduced chisquare) = WSSR/ndf : 1.95069e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22506 +/- 0.08401 (1.608%) b = -0.0364578 +/- 0.01729 (47.43%) c = -0.998786 +/- 0.0007045 (0.07053%) d = 0.110646 +/- 0.4189 (378.6%) e = -114.18 +/- 1.599 (1.401%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.395 0.069 1.000 d 0.607 -0.934 -0.069 1.000 e -0.904 0.725 0.212 -0.836 1.000 ******************************************************************************* Sat Apr 27 09:03:41 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 = 59 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.23e+00 2.279070e+02 4.753540e-01 3121 2.8289772689e-06 -7.90e-01 1.23e-03 3.638788e+02 3.762490e-01 After 3121 iterations the fit converged. final sum of squares of residuals : 2.82898e-06 rel. change during last iteration : -7.89863e-06 degrees of freedom (FIT_NDF) : 57 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000222781 variance of residuals (reduced chisquare) = WSSR/ndf : 4.96312e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 363.879 +/- 48.39 (13.3%) b3 = 0.376249 +/- 0.02503 (6.652%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 09:03:45 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 09:03:54 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b1*x +b0 + b3*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b1 b2 b3 0 1.3745661791e+08 0.00e+00 1.02e+03 1.000000e-01 1.000000e-01 5.800000e-03 1.000000e-01 7 7.7516748795e-05 -8.61e-02 1.02e-04 -8.292103e-03 -1.139225e-05 5.428106e-04 6.892472e-09 After 7 iterations the fit converged. final sum of squares of residuals : 7.75167e-05 rel. change during last iteration : -8.61265e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163493 variance of residuals (reduced chisquare) = WSSR/ndf : 2.67299e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0082921 +/- 0.0003382 (4.078%) b1 = -1.13922e-05 +/- 3.755e-05 (329.6%) b2 = 0.000542811 +/- 5.968e-07 (0.1099%) b3 = 6.89247e-09 +/- 3.217e-08 (466.8%) correlation matrix of the fit parameters: b0 b1 b2 b3 b0 1.000 b1 -0.025 1.000 b2 0.538 0.035 1.000 b3 0.018 -0.901 -0.024 1.000 ******************************************************************************* Sat Apr 27 09:03:55 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sat Apr 27 09:05:52 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b1*x +b0 + b3*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b1 b2 b3 0 1.3745661791e+08 0.00e+00 1.02e+03 1.000000e-01 1.000000e-01 5.800000e-03 1.000000e-01 7 7.7516748795e-05 -8.61e-02 1.02e-04 -8.292103e-03 -1.139225e-05 5.428106e-04 6.892472e-09 After 7 iterations the fit converged. final sum of squares of residuals : 7.75167e-05 rel. change during last iteration : -8.61265e-07 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163493 variance of residuals (reduced chisquare) = WSSR/ndf : 2.67299e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0082921 +/- 0.0003382 (4.078%) b1 = -1.13922e-05 +/- 3.755e-05 (329.6%) b2 = 0.000542811 +/- 5.968e-07 (0.1099%) b3 = 6.89247e-09 +/- 3.217e-08 (466.8%) correlation matrix of the fit parameters: b0 b1 b2 b3 b0 1.000 b1 -0.025 1.000 b2 0.538 0.035 1.000 b3 0.018 -0.901 -0.024 1.000 ******************************************************************************* Sat Apr 27 09:05:53 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sat Apr 27 11:09:30 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) fitted parameters initialized with current variable values ******************************************************************************* Sat Apr 27 11:09:53 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b1*x +b0 + b3*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b1 b2 b3 0 1.3737679312e+10 0.00e+00 1.02e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 8 7.7516748795e-05 -2.10e-10 1.02e-04 -8.292103e-03 -1.139225e-05 5.428106e-04 6.892472e-09 After 8 iterations the fit converged. final sum of squares of residuals : 7.75167e-05 rel. change during last iteration : -2.098e-15 degrees of freedom (FIT_NDF) : 29 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00163493 variance of residuals (reduced chisquare) = WSSR/ndf : 2.67299e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.0082921 +/- 0.0003382 (4.078%) b1 = -1.13922e-05 +/- 3.755e-05 (329.6%) b2 = 0.000542811 +/- 5.968e-07 (0.1099%) b3 = 6.89247e-09 +/- 3.217e-08 (466.8%) correlation matrix of the fit parameters: b0 b1 b2 b3 b0 1.000 b1 -0.025 1.000 b2 0.538 0.035 1.000 b3 0.018 -0.901 -0.024 1.000 ******************************************************************************* Sat Apr 27 11:11:37 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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: f(x) f(x) = -a2*x**2 +a4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 a4 0 1.9104974752e+13 0.00e+00 5.38e+05 1.000000e+00 1.000000e+00 7 1.1558915363e-03 -1.02e-01 5.38e-02 5.762400e-04 1.971952e-08 After 7 iterations the fit converged. final sum of squares of residuals : 0.00115589 rel. change during last iteration : -1.01558e-06 degrees of freedom (FIT_NDF) : 31 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00610629 variance of residuals (reduced chisquare) = WSSR/ndf : 3.72868e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.00057624 +/- 7.017e-06 (1.218%) a4 = 1.97195e-08 +/- 5.224e-09 (26.49%) correlation matrix of the fit parameters: a2 a4 a2 1.000 a4 0.964 1.000 ******************************************************************************* Sat Apr 27 11:13:44 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z x range restricted to [-25.6993 : 28.0153] #datapoints = 27 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = -a2*x**2 +a4*x**4+a0 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 a4 a0 0 2.7304451170e+01 0.00e+00 5.80e-01 5.762400e-04 1.971952e-08 1.000000e+00 6 1.6760168249e-05 -1.45e-05 5.80e-07 5.465418e-04 -2.253311e-10 -7.889765e-03 After 6 iterations the fit converged. final sum of squares of residuals : 1.67602e-05 rel. change during last iteration : -1.45273e-10 degrees of freedom (FIT_NDF) : 24 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000835668 variance of residuals (reduced chisquare) = WSSR/ndf : 6.9834e-07 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.000546542 +/- 3.427e-06 (0.627%) a4 = -2.25331e-10 +/- 6.245e-09 (2772%) a0 = -0.00788976 +/- 0.0002262 (2.868%) correlation matrix of the fit parameters: a2 a4 a0 a2 1.000 a4 0.949 1.000 a0 0.647 0.527 1.000 ******************************************************************************* Sat Apr 27 11:15:22 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sat Apr 27 11:15:23 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sat Apr 27 11:17:32 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sat Apr 27 11:18:16 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sat Apr 27 11:18:34 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sat Apr 27 11:20:28 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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: f(x) f(x) = -a2*x**2 +a4*x**4+a0 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 a4 a0 0 1.9104995939e+13 0.00e+00 4.40e+05 1.000000e+00 1.000000e+00 1.000000e+00 9 3.9488601282e-05 -1.30e-02 4.40e-04 5.510238e-04 5.883743e-09 -7.675575e-03 After 9 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.29934e-07 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.000551024 +/- 1.577e-06 (0.2862%) a4 = 5.88374e-09 +/- 1.09e-09 (18.53%) a0 = -0.00767557 +/- 0.0002636 (3.434%) correlation matrix of the fit parameters: a2 a4 a0 a2 1.000 a4 0.964 1.000 a0 0.549 0.436 1.000 ******************************************************************************* Sat Apr 27 11:20:35 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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: f(x) f(x) = -a2*x**2 +a4*x**4+a0 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 a4 a0 0 3.9488601282e-05 0.00e+00 1.80e-01 5.510238e-04 5.883743e-09 -7.675575e-03 1 3.9488601282e-05 -1.20e-09 1.80e-01 5.510238e-04 5.883743e-09 -7.675575e-03 After 1 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.2012e-14 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a2 = 0.000551024 +/- 1.577e-06 (0.2862%) a4 = 5.88374e-09 +/- 1.09e-09 (18.53%) a0 = -0.00767557 +/- 0.0002636 (3.434%) correlation matrix of the fit parameters: a2 a4 a0 a2 1.000 a4 0.964 1.000 a0 0.549 0.436 1.000 ******************************************************************************* Sat Apr 27 11:21:53 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sat Apr 27 11:21:55 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sat Apr 27 18:21:49 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:21:49 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:21:53 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:23:32 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:23:32 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:23:36 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:24:58 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:24:58 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:25:02 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:25:59 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:25:59 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:26:03 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:31:15 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:31:15 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:31:19 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:31:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:31:30 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:31:34 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:32:59 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:32:59 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:33:03 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:34:07 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:34:07 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:34:11 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:36:10 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:36:10 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:36:14 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:37:13 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:37:13 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:37:17 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:44:53 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:44:53 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:44:56 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:45:56 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:45:56 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:46:00 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:48:09 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:48:09 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:48:13 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:50:06 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:50:06 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:50:10 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:50:36 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:50:36 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:50:40 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:53:11 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:53:11 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:53:15 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:53:22 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:53:22 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:53:25 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:55:01 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:55:01 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:55:05 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:55:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 18:55:30 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 18:55:34 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:18:31 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 21:18:31 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:18:35 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:19:30 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 21:19:30 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:19:34 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:19:56 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 21:19:56 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:20:00 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:24:24 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 21:24:24 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:24:28 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:25:32 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 21:25:32 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:25:36 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:26:23 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Sat Apr 27 21:26:23 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 27 21:26:27 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Sun Apr 28 08:19:56 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:20:37 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:21:45 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:21:46 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:23:10 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:23:10 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:23:57 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:23:58 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:25:12 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:25:13 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:29:51 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:29:53 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:31:41 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:31:42 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:33:28 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:33:28 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:33:50 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:34:28 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:34:29 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:34:52 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:34:54 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:37:20 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:37:37 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:38:24 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:44:30 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:44:31 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:46:22 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:46:23 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 = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:47:54 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:47:56 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:48:47 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:48:49 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:53:23 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 08:53:28 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 08:59:46 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 09:00:49 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 09:04:56 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 09:05:02 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 09:43:13 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 09:43:20 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 09:47:42 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 09:47:51 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 09:51:17 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 09:51:19 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 10:03:20 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 11:08:48 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 11:08:50 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 11:15:10 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 11:15:12 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 11:18:04 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 11:18:06 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 11:18:53 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 11:18:54 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 11:20:17 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 11:20:18 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 11:22:00 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 11:22:00 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Sun Apr 28 11:22:41 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -50. &&($9-zero)/zero*1.e6 < 50. && 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) = -b2*x**2 +b0 + b4*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda b0 b2 b4 0 1.9132257886e+13 0.00e+00 4.40e+05 1.000000e-01 5.800000e-03 1.000000e+00 10 3.9488601282e-05 -1.63e-04 4.40e-05 -7.675575e-03 5.510238e-04 5.883743e-09 After 10 iterations the fit converged. final sum of squares of residuals : 3.94886e-05 rel. change during last iteration : -1.63432e-09 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.0011473 variance of residuals (reduced chisquare) = WSSR/ndf : 1.31629e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== b0 = -0.00767558 +/- 0.0002636 (3.434%) b2 = 0.000551024 +/- 1.577e-06 (0.2862%) b4 = 5.88374e-09 +/- 1.09e-09 (18.53%) correlation matrix of the fit parameters: b0 b2 b4 b0 1.000 b2 0.549 1.000 b4 0.436 0.964 1.000 ******************************************************************************* Sun Apr 28 11:22:43 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 x range restricted to [-40.0000 : 40.0000] #datapoints = 59 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a2*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a2 0 3.9299067126e-05 0.00e+00 2.46e-01 5.800000e-04 5 3.6977854932e-32 0.00e+00 2.46e-06 5.819251e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.69779e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a2 = 0.000581925 ******************************************************************************* Mon Jun 17 14:03:03 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Mon Jun 17 14:03:03 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Jun 17 14:03:07 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Mon Jun 17 14:06:54 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Mon Jun 17 14:06:54 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Jun 17 14:06:58 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Mon Jun 17 14:09:25 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Mon Jun 17 14:09:25 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Mon Jun 17 14:09:29 2019 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:04:13 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:04:13 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:04:15 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:28:31 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:28:32 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:28:33 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:30:09 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:30:09 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:30:11 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:35:40 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:35:40 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:35:42 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:36:16 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:36:16 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:36:18 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:40:34 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:40:34 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:40:36 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:41:41 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:41:41 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:41:43 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:43:05 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:43:05 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:43:07 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:46:52 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:46:52 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:46:54 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:47:18 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:47:18 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:47:20 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:48:30 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:48:30 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:48:32 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:50:09 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:50:09 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:50:11 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:50:47 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:50:47 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:50:49 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:51:10 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 14:51:11 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 14:51:12 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 15:56:37 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 15:56:37 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 15:56:40 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 15:57:56 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 15:57:56 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 15:57:58 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 15:59:33 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 15:59:33 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 15:59:35 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 16:01:38 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 16:01:38 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 16:01:40 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 16:02:04 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 16:02:04 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 16:02:06 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 16:02:23 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 16:02:23 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 16:02:25 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:04:03 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:04:03 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:04:05 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:04:42 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:04:42 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:04:44 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:05:24 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:05:24 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:05:26 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:11:38 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:11:38 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:11:40 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:12:12 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:12:12 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:12:14 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:12:33 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:12:33 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:12:35 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:14:40 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:14:40 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:14:42 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:16:03 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:16:03 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:16:05 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:18:53 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:18:53 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:18:55 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:19:34 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:19:34 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:19:35 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:20:31 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:20:31 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:20:32 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:20:56 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:20:56 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:20:58 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:21:31 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Tue Aug 25 20:21:31 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Tue Aug 25 20:21:32 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Wed Aug 26 07:17:34 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Wed Aug 26 07:17:34 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Aug 26 07:17:37 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Wed Aug 26 08:19:38 2020 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Wed Aug 26 08:19:38 2020 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Aug 26 08:19:41 2020 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Wed Mar 3 12:51:15 2021 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Wed Mar 3 12:51:15 2021 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Mar 3 12:51:17 2021 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Wed Mar 3 14:07:17 2021 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Wed Mar 3 14:07:17 2021 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Mar 3 14:08:18 2021 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000 ******************************************************************************* Wed Mar 3 14:15:20 2021 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f0) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 58 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + aa2*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 6.5002046990e+01 0.00e+00 1.44e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0518595866e-03 -2.54e-09 1.44e-09 5.223568e+00 -3.640411e-02 -9.987547e-01 1.093491e-01 -1.141647e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00105186 rel. change during last iteration : -2.53564e-14 degrees of freedom (FIT_NDF) : 53 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00445493 variance of residuals (reduced chisquare) = WSSR/ndf : 1.98464e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 5.22357 +/- 0.08491 (1.625%) b = -0.0364041 +/- 0.01744 (47.92%) c = -0.998755 +/- 0.0007198 (0.07207%) d = 0.109349 +/- 0.4226 (386.4%) e = -114.165 +/- 1.614 (1.414%) correlation matrix of the fit parameters: a b c d e a 1.000 b -0.560 1.000 c -0.399 0.070 1.000 d 0.606 -0.934 -0.070 1.000 e -0.904 0.725 0.215 -0.836 1.000 ******************************************************************************* Wed Mar 3 14:15:20 2021 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 = 58 residuals are weighted equally (unit weight) function used for fitting: n(x) n(x) =aa3*cos(b3*x)-aa3 fitted parameters initialized with current variable values iter chisq delta/lim lambda aa3 b3 0 2.9669664242e-05 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3098 2.8595704418e-06 -4.44e-01 1.24e-03 3.619383e+02 3.772570e-01 After 3098 iterations the fit converged. final sum of squares of residuals : 2.85957e-06 rel. change during last iteration : -4.44079e-06 degrees of freedom (FIT_NDF) : 56 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000225973 variance of residuals (reduced chisquare) = WSSR/ndf : 5.10638e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== aa3 = 361.938 +/- 48.56 (13.42%) b3 = 0.377257 +/- 0.02532 (6.711%) correlation matrix of the fit parameters: aa3 b3 aa3 1.000 b3 -1.000 1.000 ******************************************************************************* Wed Mar 3 14:19:44 2021 FIT: data read from 'compile_spin_data.dat' u ($28*1000):(($8*$28)>0 ? ($11/$13*$8*f0):1/0) format = x:z x range restricted to [-35.0000 : 35.0000] #datapoints = 26 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 9.8159813407e+11 0.00e+00 7.07e+04 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.500000e+00 7.800000e-02 2121 9.1278097194e-07 -9.99e-01 7.07e-03 1.361402e-04 -1.774216e-04 -3.396724e-03 -2.518542e-07 3.776802e-08 1.377347e+00 2.201137e-02 After 2121 iterations the fit converged. final sum of squares of residuals : 9.12781e-07 rel. change during last iteration : -9.98932e-06 degrees of freedom (FIT_NDF) : 19 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000219183 variance of residuals (reduced chisquare) = WSSR/ndf : 4.80411e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a0 = 0.00013614 +/- 0.0001365 (100.3%) a1 = -0.000177422 +/- 1.11e-05 (6.254%) a2 = -0.00339672 +/- 8.098 (2.384e+05%) a3 = -2.51854e-07 +/- 4.198e-08 (16.67%) a4 = 3.7768e-08 +/- 0.0001626 (4.305e+05%) amp = 1.37735 +/- 5.021e+04 (3.645e+06%) wave_number = 0.0220114 +/- 134 (6.087e+05%) correlation matrix of the fit parameters: a0 a1 a2 a3 a4 amp wave_n a0 1.000 a1 0.011 1.000 a2 -0.559 0.243 1.000 a3 -0.028 -0.937 -0.266 1.000 a4 0.559 -0.243 -1.000 0.266 1.000 amp -0.559 0.243 1.000 -0.266 -1.000 1.000 wave_number 0.560 -0.242 -1.000 0.266 1.000 -1.000 1.000