FFTDerivative dialog.
Table of Contents
Calculated derivatives of a spectra in the MatrixWorkspace using Fast Fourier Transform (FFT).
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MatrixWorkspace | Mandatory | Input workspace for differentiation |
| OutputWorkspace | Output | MatrixWorkspace | Mandatory | Workspace with result derivatives |
| Order | Input | number | 1 | The order of the derivative |
Calcuates the derivative of the specta in a workspace using FFT v1.
Example: Different Orders of Derivative
wsOriginal = CreateSampleWorkspace(XMax=20,BinWidth=0.2,BankPixelWidth=1,NumBanks=1)
wsOrder1 = FFTDerivative(wsOriginal,Order=1)
wsOrder2 = FFTDerivative(wsOriginal,Order=2)
wsOrder3 = FFTDerivative(wsOriginal,Order=3)
print "bin Orig 1st 2nd 3rd"
for i in range (41,67,5):
print "%i %.2f %.2f %.2f %.2f" % (i, wsOriginal.readY(0)[i], wsOrder1.readY(0)[i], wsOrder2.readY(0)[i], wsOrder3.readY(0)[i])
Output:
bin Orig 1st 2nd 3rd
41 0.67 1.35 4.20 9.93
46 5.50 8.50 3.25 -29.37
51 9.90 -3.92 -17.99 23.34
56 2.60 -5.63 9.10 0.70
61 0.37 -0.32 1.30 -4.51
66 0.30 -0.00 0.01 -0.07
Example: Different Orders of Derivative
wsOriginal = CreateSampleWorkspace(XMax=20,BinWidth=0.2,BankPixelWidth=1,NumBanks=1)
wsOrder1 = FFTDerivative(wsOriginal,Order=1)
wsOrder2 = FFTDerivative(wsOriginal,Order=2)
wsOrder2Test = FFTDerivative(wsOrder1,Order=1)
print "The direct 2nd order derivative and the derivative of a derivative should match"
print CheckWorkspacesMatch(wsOrder2,wsOrder2Test,CheckAllData=True,Tolerance=1e10)
Output:
The direct 2nd order derivative and the derivative of a derivative should match
Success!
Categories: Algorithms | Arithmetic\FFT