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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("{}  {:.2f}  {:.2f}  {:.2f}  {:.2f}".format(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(CompareWorkspaces(wsOrder2,wsOrder2Test,CheckAllData=True,Tolerance=1e10)[0])
Output:
The direct 2nd order derivative and the derivative of a derivative should match
True
Categories: AlgorithmIndex | Arithmetic\FFT
C++ header: FFTDerivative.h (last modified: 2021-03-31)
C++ source: FFTDerivative.cpp (last modified: 2021-03-31)