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fit.log
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94 lines (58 loc) · 2.52 KB
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*******************************************************************************
Tue Apr 12 18:58:42 2016
FIT: data read from 'probability.dat' using 1:2
format = x:z
x range restricted to [8.00000 : 16.0000]
#datapoints = 10
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters and initial values from file: fit.par
*******************************************************************************
Tue Apr 12 18:59:17 2016
FIT: data read from 'probability.dat' using 1:2
format = x:z
x range restricted to [8.00000 : 16.0000]
#datapoints = 10
residuals are weighted equally (unit weight)
function used for fitting: f(x)
f(x)=50*(1+erf(a*(x−b)))
fitted parameters and initial values from file: fit.par
*******************************************************************************
Tue Apr 12 19:00:36 2016
FIT: data read from 'probability.dat' using 1:2
format = x:z
x range restricted to [8.00000 : 16.0000]
#datapoints = 10
residuals are weighted equally (unit weight)
function used for fitting: f(x)
f(x)=50*(1+erf(a*(x−b)))
fitted parameters and initial values from file: fit.par
*******************************************************************************
Tue Apr 12 19:06:52 2016
FIT: data read from 'probability.dat' using 1:2
format = x:z
x range restricted to [8.00000 : 16.0000]
#datapoints = 10
residuals are weighted equally (unit weight)
function used for fitting: f(x)
f(x)=50*(1+erf(a*(x−b)))
fitted parameters and initial values from file: fit.par
*******************************************************************************
Tue Apr 12 19:07:50 2016
FIT: data read from 'probability.dat' using 1:2
format = x:z
x range restricted to [8.00000 : 16.0000]
#datapoints = 10
residuals are weighted equally (unit weight)
function used for fitting: f(x)
f(x)=50*(1+erf(a*(x−b)))
fitted parameters initialized with current variable values
*******************************************************************************
Tue Apr 12 19:08:12 2016
FIT: data read from 'probability.dat' using 1:2
format = x:z
#datapoints = 10
residuals are weighted equally (unit weight)
function used for fitting: f(x)
f(x)=50*(1+erf(a*(x−b)))
fitted parameters initialized with current variable values