185 lines
5.0 KiB
Plaintext
185 lines
5.0 KiB
Plaintext
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*******************************************************************************
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Fri Oct 27 14:12:05 2017
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FIT: data read from "Xx4x4.csv" every ::1 using 1:5
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format = x:z
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#datapoints = 300
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 6.81227e+08 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707107
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initial set of free parameter values
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a = 1
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b = 1
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After 7 iterations the fit converged.
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final sum of squares of residuals : 1.42477e+08
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rel. change during last iteration : -4.36753e-13
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degrees of freedom (FIT_NDF) : 298
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 691.456
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variance of residuals (reduced chisquare) = WSSR/ndf : 478111
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.13401e+07 +/- 1.169e+06 (10.31%)
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b = 2295.89 +/- 111.7 (4.866%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.934 1.000
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*******************************************************************************
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Fri Oct 27 14:12:05 2017
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FIT: data read from "Xx4x4.csv" every ::1 using 3:5
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format = x:z
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#datapoints = 300
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residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 6.80731e+08 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.848453
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initial set of free parameter values
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aa = 1
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bb = 1
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After 4 iterations the fit converged.
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final sum of squares of residuals : 7.54457e+07
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rel. change during last iteration : -4.78216e-11
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degrees of freedom (FIT_NDF) : 298
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 503.163
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variance of residuals (reduced chisquare) = WSSR/ndf : 253173
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = -17310 +/- 823 (4.754%)
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bb = 12746.5 +/- 545.7 (4.282%)
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correlation matrix of the fit parameters:
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aa bb
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aa 1.000
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bb -0.999 1.000
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*******************************************************************************
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Fri Oct 27 14:12:05 2017
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FIT: data read from "Xx4x4.csv" every ::1 using 3:4
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format = x:z
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#datapoints = 300
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residuals are weighted equally (unit weight)
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function used for fitting: h(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 3.08678e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.848453
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initial set of free parameter values
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aaa = 1
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bbb = 1
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After 4 iterations the fit converged.
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final sum of squares of residuals : 12619.9
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rel. change during last iteration : -1.72365e-10
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degrees of freedom (FIT_NDF) : 298
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.50758
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variance of residuals (reduced chisquare) = WSSR/ndf : 42.3486
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -392.375 +/- 10.64 (2.713%)
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bbb = 361.762 +/- 7.058 (1.951%)
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correlation matrix of the fit parameters:
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aaa bbb
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aaa 1.000
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bbb -0.999 1.000
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*******************************************************************************
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Fri Oct 27 14:12:05 2017
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FIT: data read from "Xx4x4.csv" every ::1 using 2:4
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format = x:z
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#datapoints = 300
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residuals are weighted equally (unit weight)
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function used for fitting: i(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 3.126e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.70713
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initial set of free parameter values
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aaaa = 1
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bbbb = 1
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After 5 iterations the fit converged.
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final sum of squares of residuals : 15806.2
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rel. change during last iteration : -1.2249e-09
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degrees of freedom (FIT_NDF) : 298
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 7.28292
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variance of residuals (reduced chisquare) = WSSR/ndf : 53.0409
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = -7290.04 +/- 227.7 (3.124%)
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bbbb = 159.497 +/- 1.847 (1.158%)
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correlation matrix of the fit parameters:
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aaaa bbbb
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aaaa 1.000
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bbbb -0.974 1.000
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