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IndirectTwoPeakFit v1¶

Summary ¶

Performs a convolution fit for 1 and 2 Lorentzians.

Properties ¶

Name	Direction	Type	Default	Description
SampleWorkspace	Input	MatrixWorkspace	Mandatory	Name for the sample workspace.
EnergyMin	Input	number	-0.5	Minimum energy for fit. Default=-0.5
EnergyMax	Input	number	0.5	Maximum energy for fit. Default=0.5
Minimizer	Input	string	Levenberg-Marquardt	Type of minimizer. Allowed values: [‘Levenberg-Marquardt’, ‘FABADA’]
MaxIterations	Input	number	500	Max iterations. Default=500
OutputName	Input	string		Output workspace base name

Description ¶

This performs a one lorentzian convolution fit, and then performs a two lorentzian convolution fit on the sample workspace.

Usage ¶

Example - IndirectTwoPeakFit

# Produce the reduced file used in the two peak fit
EnergyWindowScan(InputFiles='92762', Instrument='OSIRIS', Analyser='graphite', Reflection='002',
                 SpectraRange='963,980', ElasticRange='-0.02,0.02', InelasticRange='0.4,0.5',
                 TotalRange='-0.5,0.5', ReducedWorkspace='__reduced_group', ScanWorkspace='__scan_workspace')

# Perform a two peak fit
IndirectTwoPeakFit(SampleWorkspace='osiris92762_graphite002_red', EnergyMin=-0.5,
                   EnergyMax=0.5, OutputName='osiris92762_graphite002_two_peak_fit')