*******************************************************************************
Mon Apr  8 19:40:50 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 = 55
        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 6.3068377465e+01   0.00e+00  9.30e-03    1.000000e+00   1.000000e-02   1.000000e-02   1.000000e-02   1.000000e-02
   7 1.6540662127e-05  -2.85e-06  9.30e-10   -2.161039e-02   2.326606e-03  -9.998771e-01   3.925223e+00  -1.334118e+02

After 7 iterations the fit converged.
final sum of squares of residuals : 1.65407e-05
rel. change during last iteration : -2.84848e-11

degrees of freedom    (FIT_NDF)                        : 50
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000575164
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.30813e-07

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = -0.0216104       +/- 0.02114      (97.81%)
b               = 0.00232661       +/- 0.002448     (105.2%)
c               = -0.999877        +/- 9.303e-05    (0.009304%)
d               = 3.92522          +/- 0.06383      (1.626%)
e               = -133.412         +/- 0.4823       (0.3615%)

correlation matrix of the fit parameters:
                a      b      c      d      e      
a               1.000 
b               0.056  1.000 
c              -0.387 -0.009  1.000 
d              -0.100 -0.938  0.016  1.000 
e              -0.970 -0.084  0.283  0.150  1.000 


*******************************************************************************
Mon Apr  8 19:40:50 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 = 55
        residuals are weighted equally (unit weight)

function used for fitting: n(x)
	n(x) =a3*cos(b3*x)-a3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a3            b3           
   0 5.3588407740e-01   0.00e+00  7.40e-01    2.279070e+02   4.753540e-01
2697 5.1689047893e-07  -2.94e-01  7.40e-04    2.886382e+02   4.647732e-01

After 2697 iterations the fit converged.
final sum of squares of residuals : 5.1689e-07
rel. change during last iteration : -2.9375e-06

degrees of freedom    (FIT_NDF)                        : 53
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 9.87555e-05
variance of residuals (reduced chisquare) = WSSR/ndf   : 9.75265e-09

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a3              = 288.638          +/- 39.73        (13.77%)
b3              = 0.464773         +/- 0.032        (6.885%)

correlation matrix of the fit parameters:
                a3     b3     
a3              1.000 
b3             -1.000  1.000 


*******************************************************************************
Mon Apr  8 19:41:17 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 = 55
        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 6.3068377465e+01   0.00e+00  9.30e-03    1.000000e+00   1.000000e-02   1.000000e-02   1.000000e-02   1.000000e-02
   7 1.6540662127e-05  -2.85e-06  9.30e-10   -2.161039e-02   2.326606e-03  -9.998771e-01   3.925223e+00  -1.334118e+02

After 7 iterations the fit converged.
final sum of squares of residuals : 1.65407e-05
rel. change during last iteration : -2.84848e-11

degrees of freedom    (FIT_NDF)                        : 50
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 0.000575164
variance of residuals (reduced chisquare) = WSSR/ndf   : 3.30813e-07

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a               = -0.0216104       +/- 0.02114      (97.81%)
b               = 0.00232661       +/- 0.002448     (105.2%)
c               = -0.999877        +/- 9.303e-05    (0.009304%)
d               = 3.92522          +/- 0.06383      (1.626%)
e               = -133.412         +/- 0.4823       (0.3615%)

correlation matrix of the fit parameters:
                a      b      c      d      e      
a               1.000 
b               0.056  1.000 
c              -0.387 -0.009  1.000 
d              -0.100 -0.938  0.016  1.000 
e              -0.970 -0.084  0.283  0.150  1.000 


*******************************************************************************
Mon Apr  8 19:41:17 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 = 55
        residuals are weighted equally (unit weight)

function used for fitting: n(x)
	n(x) =a3*cos(b3*x)-a3
fitted parameters initialized with current variable values

iter      chisq       delta/lim  lambda   a3            b3           
   0 5.3588407740e-01   0.00e+00  7.40e-01    2.279070e+02   4.753540e-01
2697 5.1689047893e-07  -2.94e-01  7.40e-04    2.886382e+02   4.647732e-01

After 2697 iterations the fit converged.
final sum of squares of residuals : 5.1689e-07
rel. change during last iteration : -2.9375e-06

degrees of freedom    (FIT_NDF)                        : 53
rms of residuals      (FIT_STDFIT) = sqrt(WSSR/ndf)    : 9.87555e-05
variance of residuals (reduced chisquare) = WSSR/ndf   : 9.75265e-09

Final set of parameters            Asymptotic Standard Error
=======================            ==========================
a3              = 288.638          +/- 39.73        (13.77%)
b3              = 0.464773         +/- 0.032        (6.885%)

correlation matrix of the fit parameters:
                a3     b3     
a3              1.000 
b3             -1.000  1.000 


*******************************************************************************
Mon Apr  8 19:41:26 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) = -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 5.7902843214e+07   0.00e+00  6.62e+02    5.800000e-03   1.000000e-01   1.000000e-01   1.000000e-01
BREAK: Singular matrix in Invert_RtR

*******************************************************************************
Mon Apr  8 19:41:29 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) = -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 5.7902843214e+07   0.00e+00  6.62e+02    5.800000e-03   1.000000e-01   1.000000e-01   1.000000e-01
BREAK: Singular matrix in Invert_RtR