******************************************************************************* Sun Mar 31 18:22:34 2019 FIT: data read from 'compile_spin_data.dat' u ($4*1000):(($9-zero)/zero*1.e6 > -5. && abs($8)<0.0001 ? (($9-zero)/zero*1.e6):1/0) format = x:z #datapoints = 34 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991579099e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 4.8615721801e-05 -1.19e-01 1.01e-04 5.657170e-04 -8.617226e-10 -4.462551e-03 6.782528e-13 After 7 iterations the fit converged. final sum of squares of residuals : 4.86157e-05 rel. change during last iteration : -1.19107e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.001273 variance of residuals (reduced chisquare) = WSSR/ndf : 1.62052e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000565717 +/- 4.613e-07 (0.08155%) b = -8.61723e-10 +/- 2.8e-05 (3.249e+06%) c = -0.00446255 +/- 0.0002623 (5.879%) d = 6.78253e-13 +/- 2.453e-08 (3.616e+06%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.554 0.000 1.000 d -0.000 -0.898 -0.000 1.000 ******************************************************************************* Sun Mar 31 18:22:35 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 = 32 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 3.5797279059e-05 0.00e+00 3.40e-01 5.800000e-04 5 3.0911175607e-32 0.00e+00 3.40e-06 5.818044e-04 After 5 iterations the fit converged. final sum of squares of residuals : 3.09112e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000581804 ******************************************************************************* Sun Mar 31 18:22:46 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.9045792277e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0205331451e-03 -3.46e-09 1.43e-09 4.537165e+00 -1.782102e-02 -9.987998e-01 -2.744427e-02 -1.166599e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00102053 rel. change during last iteration : -3.46338e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00430757 variance of residuals (reduced chisquare) = WSSR/ndf : 1.85551e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.53716 +/- 0.08115 (1.788%) b = -0.017821 +/- 0.01683 (94.45%) c = -0.9988 +/- 0.000687 (0.06878%) d = -0.0274443 +/- 0.4079 (1486%) e = -116.66 +/- 1.56 (1.337%) 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 ******************************************************************************* Sun Mar 31 18:22:46 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) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 7.8605662223e-06 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3139 2.9069956092e-06 -9.56e-02 1.24e-03 3.668102e+02 3.745732e-01 After 3139 iterations the fit converged. final sum of squares of residuals : 2.907e-06 rel. change during last iteration : -9.56047e-07 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000223876 variance of residuals (reduced chisquare) = WSSR/ndf : 5.01206e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 366.81 +/- 48.36 (13.18%) b3 = 0.374573 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000 ******************************************************************************* Sat Apr 6 18:51:41 2019 FIT: data read from '20190330_005715/single_particle_tbt.dat' u 1:8 format = x:z #datapoints = 35000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 BREAK: Need via and either parameter list or file ******************************************************************************* Sat Apr 6 18:51:47 2019 FIT: data read from '20190330_005715/single_particle_tbt.dat' u 1:8 format = x:z #datapoints = 35000 residuals are weighted equally (unit weight) function used for fitting: f(x) f(x) = a+b*x+c*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c 0 1.0505875725e+22 0.00e+00 3.16e+08 1.000000e+00 1.000000e+00 1.000000e+00 12 2.3630129649e-15 -2.46e-06 3.16e-04 1.434328e-08 1.491430e-07 -9.661525e-22 After 12 iterations the fit converged. final sum of squares of residuals : 2.36301e-15 rel. change during last iteration : -2.46313e-11 degrees of freedom (FIT_NDF) : 34997 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.59847e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 6.75204e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 1.43433e-08 +/- 4.167e-12 (0.02905%) b = 1.49143e-07 +/- 5.499e-16 (3.687e-07%) c = -9.66152e-22 +/- 1.521e-20 (1574%) correlation matrix of the fit parameters: a b c a 1.000 b -0.866 1.000 c 0.745 -0.968 1.000 ******************************************************************************* Sat Apr 6 18:52:53 2019 FIT: data read from '20190330_005325/single_particle_tbt.dat' u 1:8 format = x:z #datapoints = 35000 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a1+b1*x+c1*x**2 fitted parameters initialized with current variable values ******************************************************************************* Sat Apr 6 18:52:57 2019 FIT: data read from '20190330_005325/single_particle_tbt.dat' u 1:8 format = x:z #datapoints = 35000 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = a1+b1*x+c1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 b1 c1 0 1.0505875725e+22 0.00e+00 3.16e+08 1.000000e+00 1.000000e+00 1.000000e+00 12 2.3628854454e-15 -1.36e-06 3.16e+05 1.434349e-08 1.491434e-07 9.934229e-22 After 12 iterations the fit converged. final sum of squares of residuals : 2.36289e-15 rel. change during last iteration : -1.35957e-11 degrees of freedom (FIT_NDF) : 34997 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 2.5984e-10 variance of residuals (reduced chisquare) = WSSR/ndf : 6.75168e-20 Final set of parameters Asymptotic Standard Error ======================= ========================== a1 = 1.43435e-08 +/- 4.167e-12 (0.02905%) b1 = 1.49143e-07 +/- 5.499e-16 (3.687e-07%) c1 = 9.93423e-22 +/- 1.521e-20 (1531%) correlation matrix of the fit parameters: a1 b1 c1 a1 1.000 b1 -0.866 1.000 c1 0.745 -0.968 1.000 ******************************************************************************* Mon Apr 8 19:35:23 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 = 34 residuals are weighted equally (unit weight) function used for fitting: g(x) g(x) = -a*x**2 +b*x +c + d*x**3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d 0 1.3991579099e+08 0.00e+00 1.01e+03 5.800000e-03 1.000000e-01 1.000000e-01 1.000000e-01 7 4.8615721801e-05 -1.19e-01 1.01e-04 5.657170e-04 -8.617226e-10 -4.462551e-03 6.782528e-13 After 7 iterations the fit converged. final sum of squares of residuals : 4.86157e-05 rel. change during last iteration : -1.19107e-06 degrees of freedom (FIT_NDF) : 30 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.001273 variance of residuals (reduced chisquare) = WSSR/ndf : 1.62052e-06 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 0.000565717 +/- 4.613e-07 (0.08155%) b = -8.61723e-10 +/- 2.8e-05 (3.249e+06%) c = -0.00446255 +/- 0.0002623 (5.879%) d = 6.78253e-13 +/- 2.453e-08 (3.616e+06%) correlation matrix of the fit parameters: a b c d a 1.000 b 0.000 1.000 c 0.554 0.000 1.000 d -0.000 -0.898 -0.000 1.000 ******************************************************************************* Mon Apr 8 19:35:25 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 = 32 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = -a1*x**2 fitted parameters initialized with current variable values iter chisq delta/lim lambda a1 0 7.5207804165e-04 0.00e+00 3.40e-01 5.800000e-04 5 2.6493973466e-32 0.00e+00 3.40e-06 5.717292e-04 After 5 iterations the fit converged. final sum of squares of residuals : 2.6494e-32 abs. change during last iteration : 0 Hmmmm.... Sum of squared residuals is zero. Can't compute errors. Final set of parameters ======================= a1 = 0.000571729 ******************************************************************************* Mon Apr 8 19:35:29 2019 FIT: data read from 'compile_spin_data.dat' u ($8*100):($11/$13*$8*f) format = x:z x range restricted to [-0.350000 : 0.350000] #datapoints = 60 residuals are weighted equally (unit weight) function used for fitting: h(x) h(x) = a*x**2+b*x+c + a2*cos(b2*x) +d*x**3 +e*x**4 fitted parameters initialized with current variable values iter chisq delta/lim lambda a b c d e 0 6.9045792277e+01 0.00e+00 1.43e-02 1.000000e+00 1.000000e-02 1.000000e-02 1.000000e-02 1.000000e-02 7 1.0205331451e-03 -3.46e-09 1.43e-09 4.537165e+00 -1.782102e-02 -9.987998e-01 -2.744427e-02 -1.166599e+02 After 7 iterations the fit converged. final sum of squares of residuals : 0.00102053 rel. change during last iteration : -3.46338e-14 degrees of freedom (FIT_NDF) : 55 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00430757 variance of residuals (reduced chisquare) = WSSR/ndf : 1.85551e-05 Final set of parameters Asymptotic Standard Error ======================= ========================== a = 4.53716 +/- 0.08115 (1.788%) b = -0.017821 +/- 0.01683 (94.45%) c = -0.9988 +/- 0.000687 (0.06878%) d = -0.0274443 +/- 0.4079 (1486%) e = -116.66 +/- 1.56 (1.337%) 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 ******************************************************************************* Mon Apr 8 19:35:29 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) =a3*cos(b3*x)-a3 fitted parameters initialized with current variable values iter chisq delta/lim lambda a3 b3 0 2.8022116916e-03 0.00e+00 1.24e+00 2.279070e+02 4.753540e-01 3122 2.8588477058e-06 -2.04e-01 1.24e-03 3.635366e+02 3.746307e-01 After 3122 iterations the fit converged. final sum of squares of residuals : 2.85885e-06 rel. change during last iteration : -2.03784e-06 degrees of freedom (FIT_NDF) : 58 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000222015 variance of residuals (reduced chisquare) = WSSR/ndf : 4.92905e-08 Final set of parameters Asymptotic Standard Error ======================= ========================== a3 = 363.537 +/- 47.93 (13.18%) b3 = 0.374631 +/- 0.0247 (6.594%) correlation matrix of the fit parameters: a3 b3 a3 1.000 b3 -1.000 1.000