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ConvolveWorkspaces v1¶
Summary¶
Convolution of two workspaces.
Properties¶
Name |
Direction |
Type |
Default |
Description |
---|---|---|---|---|
Workspace1 |
Input |
Mandatory |
The name of the resolution workspace |
|
Workspace2 |
Input |
Mandatory |
The name of the data workspace. |
|
OutputWorkspace |
Output |
The name of the output workspace. |
Description¶
Convolution of two workspaces using the Convolution function. Workspaces must have the same number of spectra.
Usage¶
Example: Convolve sample workspaces
from numpy import ndarray
from math import pi
x = np.linspace(-5,5)
f1 = Gaussian(Height=1., PeakCentre=.3, Sigma=.6)
# normalise the gaussian
y1 = f1(x)/(0.6*np.sqrt(2.*pi))
ws1 = CreateWorkspace(x, y1)
f2 = Gaussian(Height=1., PeakCentre=-1.3, Sigma=1.2)
# normalise the gaussian
y2 = f2(x)/(1.2*np.sqrt(2.*pi))
ws2 = CreateWorkspace(x, y2)
# calculate convolution
ws3 = ConvolveWorkspaces(ws1, ws2)
print("Output: {}".format(ws3.readY(0)))
Output:
Output: [ ... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ... ... ...
... ...]
Categories: AlgorithmIndex | Utility\Workspaces
Source¶
C++ header: ConvolveWorkspaces.h
C++ source: ConvolveWorkspaces.cpp