Added plot of diode data
This commit is contained in:
parent
189313a53c
commit
9f20dee3ab
11
lab_3/data/diode.dat
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11
lab_3/data/diode.dat
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# Temperature (C) Diode Value
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68 364
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67 367
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58 382
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52 390
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49 396
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43 405
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42 408
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37 415
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33 422
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25 438
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13
lab_3/data/diode.gplot
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lab_3/data/diode.gplot
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set key off
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set xlabel 'Temperature (°C)'
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set ylabel 'ADC Value'
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f(x) = a*x +b
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fit f(x) 'diode.dat' using 1:2 via a, b
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set term pngcairo
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set output 'diode.png'
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p f(x) lt rgb "black" dt 2, \
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'diode.dat' using 1:2 lc rgb "black"
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BIN
lab_3/data/diode.png
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BIN
lab_3/data/diode.png
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After Width: | Height: | Size: 19 KiB |
288
lab_3/data/fit.log
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288
lab_3/data/fit.log
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*******************************************************************************
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Mon Nov 4 15:58:15 2019
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FIT: data read from 'diode.dat' using 1:2
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format = x:z
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#datapoints = 10
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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 1.2400030000e+06 0.00e+00 3.48e+01 1.000000e+00 1.000000e+00
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6 9.6489173663e+00 -2.10e-08 3.48e-05 -1.668582e+00 4.777908e+02
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After 6 iterations the fit converged.
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final sum of squares of residuals : 9.64892
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rel. change during last iteration : -2.10241e-13
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degrees of freedom (FIT_NDF) : 8
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09823
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.20611
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.66858 +/- 0.02581 (1.547%)
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b = 477.791 +/- 1.272 (0.2662%)
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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 -0.962 1.000
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*******************************************************************************
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Mon Nov 4 15:58:43 2019
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FIT: data read from 'diode.dat' using 1:2
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format = x:z
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#datapoints = 10
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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 1.2400030000e+06 0.00e+00 3.48e+01 1.000000e+00 1.000000e+00
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6 9.6489173663e+00 -2.10e-08 3.48e-05 -1.668582e+00 4.777908e+02
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After 6 iterations the fit converged.
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final sum of squares of residuals : 9.64892
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rel. change during last iteration : -2.10241e-13
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degrees of freedom (FIT_NDF) : 8
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09823
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.20611
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.66858 +/- 0.02581 (1.547%)
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b = 477.791 +/- 1.272 (0.2662%)
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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 -0.962 1.000
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*******************************************************************************
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Mon Nov 4 15:59:43 2019
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FIT: data read from 'diode.dat' using 1:2
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format = x:z
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#datapoints = 10
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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 1.2400030000e+06 0.00e+00 3.48e+01 1.000000e+00 1.000000e+00
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6 9.6489173663e+00 -2.10e-08 3.48e-05 -1.668582e+00 4.777908e+02
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After 6 iterations the fit converged.
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final sum of squares of residuals : 9.64892
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rel. change during last iteration : -2.10241e-13
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degrees of freedom (FIT_NDF) : 8
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09823
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.20611
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.66858 +/- 0.02581 (1.547%)
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b = 477.791 +/- 1.272 (0.2662%)
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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 -0.962 1.000
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*******************************************************************************
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Mon Nov 4 16:00:07 2019
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FIT: data read from 'diode.dat' using 1:2
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format = x:z
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#datapoints = 10
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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 1.2400030000e+06 0.00e+00 3.48e+01 1.000000e+00 1.000000e+00
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6 9.6489173663e+00 -2.10e-08 3.48e-05 -1.668582e+00 4.777908e+02
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After 6 iterations the fit converged.
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final sum of squares of residuals : 9.64892
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rel. change during last iteration : -2.10241e-13
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degrees of freedom (FIT_NDF) : 8
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09823
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.20611
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.66858 +/- 0.02581 (1.547%)
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b = 477.791 +/- 1.272 (0.2662%)
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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 -0.962 1.000
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*******************************************************************************
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Mon Nov 4 16:00:31 2019
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FIT: data read from 'diode.dat' using 1:2
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format = x:z
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#datapoints = 10
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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 1.2400030000e+06 0.00e+00 3.48e+01 1.000000e+00 1.000000e+00
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6 9.6489173663e+00 -2.10e-08 3.48e-05 -1.668582e+00 4.777908e+02
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After 6 iterations the fit converged.
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final sum of squares of residuals : 9.64892
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rel. change during last iteration : -2.10241e-13
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degrees of freedom (FIT_NDF) : 8
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09823
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.20611
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.66858 +/- 0.02581 (1.547%)
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b = 477.791 +/- 1.272 (0.2662%)
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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 -0.962 1.000
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*******************************************************************************
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Mon Nov 4 16:01:04 2019
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FIT: data read from 'diode.dat' using 1:2
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format = x:z
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#datapoints = 10
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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 1.2400030000e+06 0.00e+00 3.48e+01 1.000000e+00 1.000000e+00
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6 9.6489173663e+00 -2.10e-08 3.48e-05 -1.668582e+00 4.777908e+02
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After 6 iterations the fit converged.
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final sum of squares of residuals : 9.64892
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rel. change during last iteration : -2.10241e-13
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degrees of freedom (FIT_NDF) : 8
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09823
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.20611
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.66858 +/- 0.02581 (1.547%)
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b = 477.791 +/- 1.272 (0.2662%)
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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 -0.962 1.000
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*******************************************************************************
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Mon Nov 4 16:01:25 2019
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FIT: data read from 'diode.dat' using 1:2
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format = x:z
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#datapoints = 10
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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 1.2400030000e+06 0.00e+00 3.48e+01 1.000000e+00 1.000000e+00
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6 9.6489173663e+00 -2.10e-08 3.48e-05 -1.668582e+00 4.777908e+02
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After 6 iterations the fit converged.
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final sum of squares of residuals : 9.64892
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rel. change during last iteration : -2.10241e-13
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degrees of freedom (FIT_NDF) : 8
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09823
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.20611
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.66858 +/- 0.02581 (1.547%)
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b = 477.791 +/- 1.272 (0.2662%)
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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 -0.962 1.000
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*******************************************************************************
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Mon Nov 4 16:33:45 2019
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FIT: data read from 'diode.dat' using 1:2
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format = x:z
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#datapoints = 10
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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 1.2400030000e+06 0.00e+00 3.48e+01 1.000000e+00 1.000000e+00
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6 9.6489173663e+00 -2.10e-08 3.48e-05 -1.668582e+00 4.777908e+02
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After 6 iterations the fit converged.
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final sum of squares of residuals : 9.64892
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rel. change during last iteration : -2.10241e-13
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degrees of freedom (FIT_NDF) : 8
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.09823
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variance of residuals (reduced chisquare) = WSSR/ndf : 1.20611
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -1.66858 +/- 0.02581 (1.547%)
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b = 477.791 +/- 1.272 (0.2662%)
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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 -0.962 1.000
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