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FIT: data read from DATA."/distrib_degrees_reel.dat" using (log($1)):(log($2))
format = x:z
#datapoints = 199
residuals are weighted equally (unit weight)
function used for fitting: f(x)
f(x) = lc - gamma * x
fitted parameters initialized with current variable values
iter chisq delta/lim lambda lc gamma
0 7.9034085045e+03 0.00e+00 3.22e+00 1.000000e+00 1.000000e+00
4 7.3525679675e+01 -1.58e-08 3.22e-04 2.342408e+00 2.705388e+00
After 4 iterations the fit converged.
final sum of squares of residuals : 73.5257
rel. change during last iteration : -1.58101e-13
degrees of freedom (FIT_NDF) : 197
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.610923
variance of residuals (reduced chisquare) = WSSR/ndf : 0.373227
Final set of parameters Asymptotic Standard Error
======================= ==========================
lc = 2.34241 +/- 0.1971 (8.414%)
gamma = 2.70539 +/- 0.04437 (1.64%)
correlation matrix of the fit parameters:
lc gamma
lc 1.000
gamma 0.976 1.000
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FIT: data read from "target/dat/distrib_degrees_reel.dat" using (($1>=kmin && $2>0) ? log($1) : 1/0):(($1>=kmin && $2>0) ? log($2) : 1/0)
x range restricted to [1.00000 : *]
#datapoints = 190
residuals are weighted equally (unit weight)
function used for fitting: f(x)
fitted parameters initialized with current variable values
iter chisq delta/lim lambda lc gamma
0 7.8600001529e+03 0.00e+00 3.28e+00 1.000000e+00 1.000000e+00
4 3.3768536984e+01 -1.71e-06 3.28e-04 3.978305e+00 3.059786e+00
final sum of squares of residuals : 33.7685
rel. change during last iteration : -1.71341e-11
degrees of freedom (FIT_NDF) : 188
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.423816
variance of residuals (reduced chisquare) = WSSR/ndf : 0.17962
Final set of parameters Asymptotic Standard Error
======================= ==========================
lc = 3.9783 +/- 0.187 (4.7%)
gamma = 3.05979 +/- 0.04125 (1.348%)
correlation matrix of the fit parameters:
lc gamma
lc 1.000
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FIT: data read from file using (($1>=kmin) ? $1 : 1/0):2
x range restricted to [1.00000 : 1000.00]
#datapoints = 190
residuals are weighted equally (unit weight)
function used for fitting: power(x)
power(x) = c * x**(-gammaP)
fitted parameters initialized with current variable values
iter chisq delta/lim lambda c gammaP
0 1.1717010350e-03 0.00e+00 1.80e-03 1.000000e+00 2.500000e+00
18 3.0102500012e-06 -5.63e-03 1.80e-04 3.640255e+00 2.229983e+00
After 18 iterations the fit converged.
final sum of squares of residuals : 3.01025e-06
rel. change during last iteration : -5.63118e-08
degrees of freedom (FIT_NDF) : 188
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.000126538
variance of residuals (reduced chisquare) = WSSR/ndf : 1.6012e-08
Final set of parameters Asymptotic Standard Error
======================= ==========================
c = 3.64025 +/- 0.1039 (2.855%)
gammaP = 2.22998 +/- 0.01118 (0.5015%)
correlation matrix of the fit parameters:
c gammaP
c 1.000
gammaP 0.994 1.000