NormaliseByThickness v1

Summary

Normalise detector counts by the sample thickness.

Properties

Name	Direction	Type	Default	Description
InputWorkspace	Input	MatrixWorkspace	Mandatory
OutputWorkspace	Output	MatrixWorkspace	Mandatory	Name of the workspace that will contain the normalised data
SampleThickness	Input	number	0	Optional sample thickness value. If not provided the sample-thickness run property will be used.
OutputMessage	Output	string		Output message

Description

Normalise detector counts by the sample thickness.

Usage

#create a workspace
raw=CreateSampleWorkspace()

#apply algorithm
norm=NormaliseByThickness(raw,SampleThickness=10)

#do a quick check
print(norm[1])
print("Min(raw)= {}".format(raw.dataY(0).min()))
print("Min(norm)= {}".format(norm[0].dataY(0).min()))
print("Max(raw)= {}".format(raw.dataY(0).max()))
print("Max(norm)= {}".format(norm[0].dataY(0).max()))

Output:

Normalised by thickness [10 cm]
Min(raw)= 0.3
Min(norm)= 0.03
Max(raw)= 10.3
Max(norm)= 1.03

Categories: AlgorithmIndex | Workflow\SANS

Source

Python: NormaliseByThickness.py