109 lines
3.8 KiB
Plaintext
109 lines
3.8 KiB
Plaintext
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*******************************************************************************
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Thu Oct 5 14:02:32 2017
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FIT: data read from "20171005-evolution1D_4x7_100Times.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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f(x)=a*x+b
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b
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0 4.8453053176e+06 0.00e+00 7.07e-01 1.000000e+00 1.000000e+00
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5 1.6409518325e+05 -9.52e-05 7.07e-06 -3.129336e+03 2.663203e+02
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After 5 iterations the fit converged.
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final sum of squares of residuals : 164095
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rel. change during last iteration : -9.51616e-10
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 40.9199
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variance of residuals (reduced chisquare) = WSSR/ndf : 1674.44
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -3129.34 +/- 2384 (76.19%)
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b = 266.32 +/- 37.57 (14.11%)
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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 -0.994 1.000
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*******************************************************************************
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Thu Oct 5 14:02:32 2017
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FIT: data read from "20171005-evolution1D_4x7_100Times.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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g(x)=aa*x+bb
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda aa bb
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0 4.8067339365e+06 0.00e+00 9.56e-01 1.000000e+00 1.000000e+00
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5 1.5824530732e+05 -3.08e-07 9.56e-06 1.317597e+03 -9.801188e+02
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After 5 iterations the fit converged.
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final sum of squares of residuals : 158245
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rel. change during last iteration : -3.0782e-12
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 40.1839
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variance of residuals (reduced chisquare) = WSSR/ndf : 1614.75
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 1317.6 +/- 566.5 (43%)
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bb = -980.119 +/- 514.9 (52.53%)
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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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Thu Oct 5 14:02:32 2017
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FIT: data read from "20171005-evolution1D_4x7_100Times.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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h(x)=aaa*x+bbb
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda aaa bbb
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0 8.1385601354e+06 0.00e+00 9.56e-01 1.000000e+00 1.000000e+00
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5 2.1970491829e+01 -1.63e-02 9.56e-06 -3.136035e+03 3.136342e+03
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After 5 iterations the fit converged.
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final sum of squares of residuals : 21.9705
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rel. change during last iteration : -1.62953e-07
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.473486
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.224189
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -3136.04 +/- 6.675 (0.2129%)
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bbb = 3136.34 +/- 6.067 (0.1934%)
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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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