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SANSAbsoluteScale v1

../_images/SANSAbsoluteScale-v1_dlg.png

SANSAbsoluteScale dialog.

Summary

Calculate and apply absolute scale correction for SANS data

Properties

Name

Direction

Type

Default

Description

InputWorkspace

Input

MatrixWorkspace

Mandatory

OutputWorkspace

Output

MatrixWorkspace

Mandatory

Method

Input

string

Value

Scaling method - either a simple scaling by value or using a reference data set. Allowed values: [‘Value’, ‘ReferenceData’]

ScalingFactor

Input

number

1

Scaling factor to use with the Value method

ReferenceDataFilename

Input

string

Reference data file to compute the scaling factor. Allowed values: [‘xml’, ‘nxs’, ‘nxs.h5’]

BeamstopDiameter

Input

number

0

Diameter of the beam on the detector, in mm

AttenuatorTransmission

Input

number

1

Attenuator transmission used in the measurement

ApplySensitivity

Input

boolean

False

If True, the sensitivity correction will be applied to the reference data set

ReductionProperties

Input

string

__sans_reduction_properties

Property manager name for the reduction

OutputMessage

Output

string

Output message

Description

Calculate and apply absolute scale correction for SANS data. The method used can either be a simple scaling using the ScalingFactor property, or computing the scaling factor using a reference data set. In this case, the reference data is loaded, normalized and corrected for detector sensitivity. The corrected reference data is then used to compute the scaling factor according to

\(f = \frac{N_b}{M*T} ( d/L )^2\)

where \(N_b\) is the total count within the distance of a beam diameter of the beam center.

\(M\) is the monitor count.

\(T\) is the attenuator transmission.

\(d\) is the detector pixel width.

\(L\) is the sample-detector distance.

The input workspace is then scaled by \(1/f\).

This algorithm is rarely called directly. It is called by HFIRSANSReduction.

Categories: AlgorithmIndex | Workflow\SANS\UsesPropertyManager

Source

Python: SANSAbsoluteScale.py