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	Mandatory	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