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ConvolveWorkspaces v1¶

Summary ¶

Convolution of two workspaces.

Properties ¶

Name	Direction	Type	Default	Description
Workspace1	Input	Workspace2D	Mandatory	The name of the resolution workspace
Workspace2	Input	Workspace2D	Mandatory	The name of the data workspace.
OutputWorkspace	Output	Workspace2D		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