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NormaliseByThickness v1

../_images/NormaliseByThickness-v1_dlg.png

NormaliseByThickness dialog.

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