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SANSAzimuthalAverage1D v1

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Summary

Compute I(q) for reduced SANS data

Properties

Name	Direction	Type	Default	Description
InputWorkspace	Input	MatrixWorkspace	Mandatory
Binning	InOut	dbl list	0,0,0	Positive is linear bins, negative is logarithmic
NumberOfBins	Input	long	100	Number of Q bins to use if binning is not supplied
LogBinning	Input	boolean	False	Produce log binning in Q when true and binning wasn’t supplied
AlignWithDecades	Input	boolean	False	If True and log binning was chosen, the Q points will be aligned with Q decades
NumberOfSubpixels	Input	long	1	Number of sub-pixels per side of a detector pixel: use with care
ErrorWeighting	Input	boolean	False	Backward compatibility option: use with care
ComputeResolution	Input	boolean	False	If true the Q resolution will be computed
ReductionProperties	Input	string	__sans_reduction_properties	Property manager name for the reduction
OutputWorkspace	Output	MatrixWorkspace	Mandatory	I(q) workspace
NumberOfWedges	Input	long	2	Number of wedges to calculate
WedgeAngle	Input	number	30	Angular opening of each wedge, in degrees
WedgeOffset	Input	number	0	Angular offset for the wedges, in degrees
OutputMessage	Output	string		Output message

Description

Compute I(q) for reduced SANS data. This algorithm is rarely called directly. It is called by HFIRSANSReduction or EQSANSAzimuthalAverage1D.

This algorithm will gather the relevant information necessary to perform the I(Q) calculation. This information includes:

• The Q binning, which is either taken from the inputs (if supplied) or computed.

• The number of pixels in X and Y, which is an input of Q1DWeighted.

After this information is gathered, the Q1DWeighted algorithm is called.

If ComputeResolution was set to True, the ReactorSANSResolution is called.

Categories: AlgorithmIndex | Workflow\SANS\UsesPropertyManager

Source

Python: SANSAzimuthalAverage1D.py