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fit.log
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*******************************************************************************
Wed Feb 13 11:44:04 2013
FIT: data read from 'all.dat' index 4 using ( $1 * 10**6):( $2>0.002 ? $1 * 10**6 * $3 :1/0)
format = x:z
#datapoints = 13
residuals are weighted equally (unit weight)
function used for fitting: Chi (x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 7.65699e+18 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 6.59736e-05
initial set of free parameter values
tau_c = 0.1
After 1 iterations the fit converged.
final sum of squares of residuals : 7.65699e+18
rel. change during last iteration : -5.34936e-16
degrees of freedom (FIT_NDF) : 12
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.988e+08
variance of residuals (reduced chisquare) = WSSR/ndf : 6.38082e+17
Final set of parameters Asymptotic Standard Error
======================= ==========================
tau_c = 0.0932248 +/- 2.918e+12 (3.131e+15%)
correlation matrix of the fit parameters:
tau_c
tau_c 1.000
*******************************************************************************
Wed Feb 20 14:24:29 2013
FIT: data read from 'all.dat' index 4 using ( $1 * 10**6):( $2>0.002 ? $1 * 10**6 * $3 :1/0)
format = x:z
#datapoints = 13
residuals are weighted equally (unit weight)
function used for fitting: Chi (x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 7.65699e+18 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 6.59736e-05
initial set of free parameter values
tau_c = 0.1
After 1 iterations the fit converged.
final sum of squares of residuals : 7.65699e+18
rel. change during last iteration : -5.34936e-16
degrees of freedom (FIT_NDF) : 12
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.988e+08
variance of residuals (reduced chisquare) = WSSR/ndf : 6.38082e+17
Final set of parameters Asymptotic Standard Error
======================= ==========================
tau_c = 0.0932248 +/- 2.918e+12 (3.131e+15%)
correlation matrix of the fit parameters:
tau_c
tau_c 1.000
*******************************************************************************
Wed Feb 20 16:42:42 2013
FIT: data read from 'all.dat' index 4 using ( $1 * 10**6):( $2>0.002 ? $1 * 10**6 * $3 :1/0)
format = x:z
#datapoints = 13
residuals are weighted equally (unit weight)
function used for fitting: Chi (x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 7.65699e+18 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 6.59736e-05
initial set of free parameter values
tau_c = 0.1
After 1 iterations the fit converged.
final sum of squares of residuals : 7.65699e+18
rel. change during last iteration : -5.34936e-16
degrees of freedom (FIT_NDF) : 12
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.988e+08
variance of residuals (reduced chisquare) = WSSR/ndf : 6.38082e+17
Final set of parameters Asymptotic Standard Error
======================= ==========================
tau_c = 0.0932248 +/- 2.918e+12 (3.131e+15%)
correlation matrix of the fit parameters:
tau_c
tau_c 1.000
*******************************************************************************
Wed Feb 20 16:50:00 2013
FIT: data read from 'all.dat' index 4 using ( $1 * 10**6):( $2>0.002 ? $1 * 10**6 * $3 :1/0)
format = x:z
#datapoints = 13
residuals are weighted equally (unit weight)
function used for fitting: Chi (x)
fitted parameters initialized with current variable values
Iteration 0
WSSR : 7.65699e+18 delta(WSSR)/WSSR : 0
delta(WSSR) : 0 limit for stopping : 1e-05
lambda : 6.59736e-05
initial set of free parameter values
tau_c = 0.1
After 1 iterations the fit converged.
final sum of squares of residuals : 7.65699e+18
rel. change during last iteration : -5.34936e-16
degrees of freedom (FIT_NDF) : 12
rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.988e+08
variance of residuals (reduced chisquare) = WSSR/ndf : 6.38082e+17
Final set of parameters Asymptotic Standard Error
======================= ==========================
tau_c = 0.0932248 +/- 2.918e+12 (3.131e+15%)
correlation matrix of the fit parameters:
tau_c
tau_c 1.000