ResNorm dialog.
Table of Contents
This algorithm creates a group ‘normalisation’ file by taking a resolution file and fitting it to all the groups in the resolution (vanadium) data file which has the same grouping as the sample data of interest.
| 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’] |
| VanNumber | 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 |
| EnergyMin | Input | number | -0.2 | Minimum energy for fit. Default=-0.2 |
| EnergyMax | Input | number | 0.2 | Maximum energy for fit. Default=0.2 |
| VanBinning | Input | number | 1 | Binning value (integer) for sample. Default=1 |
| Plot | Input | string | None | Plot options. Allowed values: [‘None’, ‘Intensity’, ‘Stretch’, ‘Fit’, ‘All’] |
| Save | Input | boolean | False | Switch Save result to nxs file Off/On |
The routine varies the width of the resolution file to give a ‘stretch factor’ and the area provides an intensity normalisation factor. The fitted parameters are in the group workspace with suffix _ResNorm with additional suffices of Intensity & Stretch. The fitted data are in the workspace ending in _ResNorm_Fit.
This routine was originally part of the MODES package.
Example - a basic example using ResNorm.
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) res = createSampleWorkspace(“irs26173_graphite002_res”)
Categories: Algorithms | Workflow | MIDAS | PythonAlgorithms
Python: ResNorm.py