185 lines
5.0 KiB
Plaintext
185 lines
5.0 KiB
Plaintext
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*******************************************************************************
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Fri Oct 27 14:11:51 2017
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FIT: data read from "4x4xX.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 : 1.32625e+09 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 : 7.7143e+07
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rel. change during last iteration : -3.63726e-13
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degrees of freedom (FIT_NDF) : 298
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 508.792
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variance of residuals (reduced chisquare) = WSSR/ndf : 258869
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -6.4547e+06 +/- 8.988e+05 (13.92%)
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b = 2603.14 +/- 84.97 (3.264%)
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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 -0.938 1.000
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*******************************************************************************
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Fri Oct 27 14:11:51 2017
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FIT: data read from "4x4xX.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 : 1.32546e+09 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.84538
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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 : 8.94193e+07
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rel. change during last iteration : -1.93107e-12
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degrees of freedom (FIT_NDF) : 298
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 547.782
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variance of residuals (reduced chisquare) = WSSR/ndf : 300065
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = -1884.14 +/- 995.6 (52.84%)
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bb = 3263.68 +/- 652.3 (19.99%)
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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 14:11:51 2017
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FIT: data read from "4x4xX.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 : 3.18416e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.84538
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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 : 9837.05
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rel. change during last iteration : -4.26287e-10
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degrees of freedom (FIT_NDF) : 298
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 5.74545
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variance of residuals (reduced chisquare) = WSSR/ndf : 33.0102
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -390.954 +/- 10.44 (2.671%)
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bbb = 359.628 +/- 6.842 (1.903%)
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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 14:11:51 2017
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FIT: data read from "4x4xX.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 : 3.22367e+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 : 13663.3
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rel. change during last iteration : -1.10647e-09
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degrees of freedom (FIT_NDF) : 298
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 6.77125
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variance of residuals (reduced chisquare) = WSSR/ndf : 45.8499
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaaa = -6441.69 +/- 211.7 (3.287%)
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bbbb = 154.627 +/- 1.717 (1.11%)
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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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