77 lines
2.8 KiB
Plaintext
77 lines
2.8 KiB
Plaintext
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*******************************************************************************
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Wed May 5 12:01:25 2021
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FIT: data read from $MyDataSet1
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format = z
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#datapoints = 20
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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 * sin(b + c*x)
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b c
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0 2.0856223461e+01 0.00e+00 1.61e+00 1.000000e+00 1.000000e+00 1.000000e+00
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6 4.2533874007e-01 -5.91e-02 1.61e-06 1.430614e+00 3.017930e-01 6.944680e-01
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After 6 iterations the fit converged.
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final sum of squares of residuals : 0.425339
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rel. change during last iteration : -5.91159e-07
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degrees of freedom (FIT_NDF) : 17
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.158177
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0250199
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 1.43061 +/- 0.05127 (3.584%)
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b = 0.301793 +/- 0.03481 (11.54%)
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c = 0.694468 +/- 0.009309 (1.34%)
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correlation matrix of the fit parameters:
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a b c
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a 1.000
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b -0.033 1.000
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c -0.163 0.113 1.000
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*******************************************************************************
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Wed May 5 12:01:25 2021
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|
|
|
|
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FIT: data read from $MyDataSet1
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format = z
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#datapoints = 20
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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 * sin(b + c*x)
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fitted parameters initialized with current variable values
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iter chisq delta/lim lambda a b c
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0 2.0856223461e+01 0.00e+00 1.61e+00 1.000000e+00 1.000000e+00 1.000000e+00
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6 4.2533874007e-01 -5.91e-02 1.61e-06 1.430614e+00 3.017930e-01 6.944680e-01
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After 6 iterations the fit converged.
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final sum of squares of residuals : 0.425339
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rel. change during last iteration : -5.91159e-07
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degrees of freedom (FIT_NDF) : 17
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.158177
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0250199
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = 1.43061 +/- 0.05127 (3.584%)
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b = 0.301793 +/- 0.03481 (11.54%)
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c = 0.694468 +/- 0.009309 (1.34%)
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correlation matrix of the fit parameters:
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a b c
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a 1.000
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b -0.033 1.000
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c -0.163 0.113 1.000
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