3.5

MuscatData v1

../_images/MuscatData-v1_dlg.png

MuscatData dialog.

Summary

Calculates multiple scattering using a sample S(Q,w).

Properties

Name Direction Type Default Description
Instrument Input string iris Instrument. Allowed values: [‘irs’, ‘iris’, ‘osi’, ‘osiris’]
Analyser Input string graphite002 Allowed values: [‘graphite002’, ‘graphite004’]
Geom Input string Flat Sample geometry. Allowed values: [‘Flat’, ‘Cyl’]
SamNumber Input string Mandatory Sample data run number
SqwInput Input string Mandatory Sqw file run number
NR1 Input number 1000 MonteCarlo neutrons NR1. Default=1000
NR2 Input number 1000 MonteCarlo neutrons NR2. Default=1000
Nms Input number 1 Number of scatterings. Default=1
DetAngle Input number 90 Detector angle. Default=90.0
Thick Input string Mandatory Sample thickness
Width Input string Mandatory Sample width
Height Input number 3 Sample height. Default=3.0
Density Input number 0.1 Sample number density. Default=0.1
SigScat Input number 5 Scattering cross-section. Default=5.0
SigAbs Input number 0.1 Absorption cross-section. Default=0.1
Temperature Input number 300 Sample temperature (K). Default=300.0
Plot Input string None Allowed values: [‘None’, ‘Totals’, ‘Scat1’, ‘All’]
Verbose Input boolean True Switch Verbose Off/On
Save Input boolean False Switch Save result to nxs file Off/On

Description

Calculates Multiple Scattering based on the Monte Carlo program MINUS. It takes a sample S(Q,w) from an input sqw workspace and supports both Flat and Cylindrical geometries. More information on the multiple scattering can be procedure can be found in the modes manual.

References

  1. M W Johnson, AERE Report R7682 (1974)

Usage

Example - a basic example using MuscatData.

def createSampleWorkspace(name, random=False):
        """ Creates a sample workspace with a single lorentzian that looks like IRIS data"""
        import os
        function = "name=Lorentzian,Amplitude=8,PeakCentre=5,FWHM=0.7"
        ws = CreateSampleWorkspace("Histogram", Function="User Defined", UserDefinedFunction=function, XUnit="DeltaE", Random=True, XMin=0, XMax=10, BinWidth=0.01)
        ws = CropWorkspace(ws, StartWorkspaceIndex=0, EndWorkspaceIndex=9)
        ws = ScaleX(ws, -5, "Add")
        ws = ScaleX(ws, 0.1, "Multiply")

        #load instrument and instrument parameters
        LoadInstrument(ws, InstrumentName='IRIS')
        path = os.path.join(config['instrumentDefinition.directory'], 'IRIS_graphite_002_Parameters.xml')
        LoadParameterFile(ws, Filename=path)
        ws = RenameWorkspace(ws, OutputWorkspace=name)
        return ws


ws = createSampleWorkspace("irs26173_graphite002_red", random=True)
sqw = SofQW(ws, QAxisBinning='2,1,10', Emode='Indirect', OutputWorkspace="irs26173_graphite002_sqw")
SaveNexus(ws, "irs26173_graphite002_red.nxs")
SaveNexus(sqw, "irs26173_graphite002_sqw.nxs")

MuscatData(SamNumber='26173', SqwInput='26173', Thick='0.5', Width='0.5', Instrument='irs')

Categories: Algorithms | Workflow | MIDAS | PythonAlgorithms