Quest v1

../_images/Quest-v1_dlg.png

Quest dialog.

Summary

This is a variation of the stretched exponential option of Quasi.

Properties

Name Direction Type Default Description
InputType Input string File Origin of data input - File (.nxs) or Workspace. Allowed values: [‘File’, ‘Workspace’]
Instrument Input string iris Instrument. Allowed values: [‘irs’, ‘iris’, ‘osi’, ‘osiris’]
Analyser Input string graphite002 Analyser & reflection. Allowed values: [‘graphite002’, ‘graphite004’]
SamNumber Input string Mandatory Sample run number
ResInputType Input string File Origin of res input - File (_res.nxs) or Workspace. Allowed values: [‘File’, ‘Workspace’]
ResNumber Input string Mandatory Resolution run number
ResNormInputType Input string File Origin of ResNorm input - File (_red.nxs) or Workspace. Allowed values: [‘File’, ‘Workspace’]
ResNormNumber Input string Mandatory ResNorm run number
ElasticOption Input boolean True Include elastic peak in fit
BackgroundOption Input string Sloping Form of background to fit. Allowed values: [‘Sloping’, ‘Flat’, ‘Zero’]
EnergyMin Input number -0.5 Minimum energy for fit. Default=-0.5
EnergyMax Input number 0.5 Maximum energy for fit. Default=0.5
SamBinning Input number 1 Binning value(integer) for sample. Default=1
NumberSigma Input number 50 Number of sigma values. Default=50
NumberBeta Input number 30 Number of beta values. Default=30
Sequence Input boolean True Switch Sequence Off/On
Plot Input string None Plot options. Allowed values: [‘None’, ‘Sigma’, ‘Beta’, ‘All’]
Verbose Input boolean True Switch Verbose Off/On
Save Input boolean False Switch Save result to nxs file Off/On

Description

This is a variation of the stretched exponential option of Quasi. For each spectrum a fit is performed for a grid of \beta and \sigma values. The distribution of goodness of fit values is plotted.

This routine was originally part of the MODES package. Note that this algorithm uses F2Py and is currently only supported on windows.

Usage

Example - a basic example using Quest to fit a reduced workspace.

sam = LoadNexusProcessed("irs26173_graphite002_red.nxs", OutputWorkspace='irs26173_graphite002_red')
res = LoadNexusProcessed("irs26173_graphite002_res.nxs", OutputWorkspace='irs26173_graphite002_res')
van = LoadNexusProcessed("irs26176_graphite002_red.nxs", OutputWorkspace='irs26176_graphite002_red')

ResNorm(VanNumber='26176', ResNumber='26173', InputType='File', ResInputType='File', Instrument='irs', Analyser='graphite002', Plot='None', Version=1)
Quest(SamNumber='26176', ResNumber='26173', ResNormNumber='26176', InputType='File', ResInputType='File', ResNormInputType='Workspace', Instrument='irs', Analyser='graphite002')

Categories: Algorithms | Workflow\MIDAS

Source

Python: Quest.py