| 1 | import ISISCommandInterface as ici |
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| 2 | import math |
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| 3 | MASKFILE = FileFinder.getFullPath('MaskSANS2DReductionGUI.txt') |
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| 4 | |
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| 5 | ici.SANS2D() |
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| 6 | ici.MaskFile(MASKFILE) |
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| 7 | ici.TransFit('Polynomial3') |
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| 8 | ici.AssignSample('22048') |
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| 9 | ici.TransmissionSample('22041','22024') |
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| 10 | reduced = ici.WavRangeReduction() |
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| 11 | |
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| 12 | |
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| 13 | function_name = 'name=Polynomial,n=3' |
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| 14 | |
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| 15 | # apply ln |
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| 16 | log_natural = Logarithm('22041_trans_sample_1.5_12.5_unfitted', Natural=True) |
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| 17 | # fit |
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| 18 | Fit(Function=function_name,InputWorkspace=log_natural,Minimizer='Levenberg-MarquardtMD',CreateOutput='1',Output='linear_background',StartX='1.5',EndX='12.5') |
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| 19 | fitted_log_values = ExtractSingleSpectrum('linear_background_Workspace', 1) |
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| 20 | # apply exp() |
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| 21 | fit_lognatural_values = Exponential(fitted_log_values) |
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| 22 | |
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| 23 | |
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| 24 | # apply log10 |
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| 25 | log_10 = Logarithm('22041_trans_sample_1.5_12.5_unfitted', Natural=False) |
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| 26 | Fit(Function=function_name,InputWorkspace=log_10,Minimizer='Levenberg-MarquardtMD',CreateOutput='1',Output='linear_background',StartX='1.5',EndX='12.5') |
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| 27 | fitted_log10_values = ExtractSingleSpectrum('linear_background_Workspace', 1) |
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| 28 | # apply pow(10) => exp(ln10*x) |
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| 29 | fitted_log_values = math.log(10) * fitted_log10_values |
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| 30 | fit_log_values = Exponential(fitted_log_values) |
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| 31 | |
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| 32 | |
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| 33 | |
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