109 lines
3.8 KiB
Plaintext
109 lines
3.8 KiB
Plaintext
|
|
|
|
*******************************************************************************
|
|
Thu Oct 5 14:02:37 2017
|
|
|
|
|
|
FIT: data read from "20171005-evolution1D_7x4_100Times.csv" every ::1 using 2:5
|
|
format = x:z
|
|
#datapoints = 100
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: f(x)
|
|
f(x)=a*x+b
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda a b
|
|
0 4.2059624024e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00
|
|
5 1.6157855782e+05 -1.28e-04 7.07e-06 -3.703035e+03 2.609538e+02
|
|
|
|
After 5 iterations the fit converged.
|
|
final sum of squares of residuals : 161579
|
|
rel. change during last iteration : -1.2809e-09
|
|
|
|
degrees of freedom (FIT_NDF) : 98
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 40.6049
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 1648.76
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
a = -3703.04 +/- 2343 (63.28%)
|
|
b = 260.954 +/- 37.51 (14.38%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
a b
|
|
a 1.000
|
|
b -0.994 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu Oct 5 14:02:37 2017
|
|
|
|
|
|
FIT: data read from "20171005-evolution1D_7x4_100Times.csv" every ::1 using 4:5
|
|
format = x:z
|
|
#datapoints = 100
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: g(x)
|
|
g(x)=aa*x+bb
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda aa bb
|
|
0 4.1694597860e+06 0.00e+00 9.64e-01 1.000000e+00 1.000000e+00
|
|
5 1.6088124752e+05 -2.98e-05 9.64e-06 1.779074e+03 -1.445031e+03
|
|
|
|
After 5 iterations the fit converged.
|
|
final sum of squares of residuals : 160881
|
|
rel. change during last iteration : -2.98408e-10
|
|
|
|
degrees of freedom (FIT_NDF) : 98
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 40.5172
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 1641.65
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
aa = 1779.07 +/- 1039 (58.39%)
|
|
bb = -1445.03 +/- 961.8 (66.56%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
aa bb
|
|
aa 1.000
|
|
bb -1.000 1.000
|
|
|
|
|
|
*******************************************************************************
|
|
Thu Oct 5 14:02:37 2017
|
|
|
|
|
|
FIT: data read from "20171005-evolution1D_7x4_100Times.csv" every ::1 using 4:6
|
|
format = x:z
|
|
#datapoints = 100
|
|
residuals are weighted equally (unit weight)
|
|
|
|
function used for fitting: h(x)
|
|
h(x)=aaa*x+bbb
|
|
fitted parameters initialized with current variable values
|
|
|
|
iter chisq delta/lim lambda aaa bbb
|
|
0 5.3588910602e+06 0.00e+00 9.64e-01 1.000000e+00 1.000000e+00
|
|
6 5.4694656646e+00 -5.96e-09 9.64e-07 -3.141932e+03 3.141867e+03
|
|
|
|
After 6 iterations the fit converged.
|
|
final sum of squares of residuals : 5.46947
|
|
rel. change during last iteration : -5.95966e-14
|
|
|
|
degrees of freedom (FIT_NDF) : 98
|
|
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.236243
|
|
variance of residuals (reduced chisquare) = WSSR/ndf : 0.0558109
|
|
|
|
Final set of parameters Asymptotic Standard Error
|
|
======================= ==========================
|
|
aaa = -3141.93 +/- 6.057 (0.1928%)
|
|
bbb = 3141.87 +/- 5.608 (0.1785%)
|
|
|
|
correlation matrix of the fit parameters:
|
|
aaa bbb
|
|
aaa 1.000
|
|
bbb -1.000 1.000
|