185 lines
5.1 KiB
Plaintext
185 lines
5.1 KiB
Plaintext
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*******************************************************************************
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Fri Oct 27 21:50:01 2017
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FIT: data read from "adv-lamb.csv" every ::1 using 2:5
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format = x:z
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#datapoints = 100
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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 : 0.227572 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707341
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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 5 iterations the fit converged.
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final sum of squares of residuals : 0.000107016
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rel. change during last iteration : -2.47553e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00104499
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.092e-06
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -0.00321702 +/- 0.1044 (3244%)
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b = 0.978108 +/- 0.002685 (0.2745%)
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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 -0.999 1.000
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*******************************************************************************
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Fri Oct 27 21:50:01 2017
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FIT: data read from "adv-lamb.csv" every ::1 using 4:5
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format = x:z
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#datapoints = 100
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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 : 91.541 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.967948
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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 6 iterations the fit converged.
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final sum of squares of residuals : 1.03526e-11
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rel. change during last iteration : -9.82363e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.25022e-07
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.05639e-13
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 0.337001 +/- 1.059e-05 (0.003142%)
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bb = 0.662998 +/- 9.898e-06 (0.001493%)
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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 -1.000 1.000
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*******************************************************************************
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Fri Oct 27 21:50:01 2017
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FIT: data read from "adv-lamb.csv" every ::1 using 4:6
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format = x:z
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#datapoints = 100
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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 : 96.0949 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.967948
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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 6 iterations the fit converged.
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final sum of squares of residuals : 1.22269e-11
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rel. change during last iteration : -1.20095e-10
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 3.5322e-07
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.24764e-13
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = 0.69757 +/- 1.151e-05 (0.00165%)
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bbb = 0.30243 +/- 1.076e-05 (0.003557%)
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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 -1.000 1.000
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*******************************************************************************
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Fri Oct 27 21:50:01 2017
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FIT: data read from "adv-lamb.csv" every ::1 using 3:6
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format = x:z
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#datapoints = 100
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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 : 0.21759 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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aaaa = 1
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bbbb = 1
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After 3 iterations the fit converged.
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final sum of squares of residuals : 0.000458526
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rel. change during last iteration : -2.92992e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.00216306
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variance of residuals (reduced chisquare) = WSSR/ndf : 4.67884e-06
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = 0.999948 +/- 1.728e+14 (1.728e+16%)
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bbbb = 0.953403 +/- 1.92e+11 (2.014e+13%)
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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 -1.000 1.000
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