PDToGUDRUN v1

../_images/PDToGUDRUN-v1_dlg.png

PDToGUDRUN dialog.

Summary

The algorithm used converting raw data to gudrun input files

Properties

Name Direction Type Default Description
Filename Input string   Event file. Allowed extensions: [‘_event.nxs’, ‘.nxs.h5’]
MaxChunkSize Input number 0 Specify maximum Gbytes of file to read in one chunk. Default is whole file.
FilterBadPulses Input number 95 Filter out events measured while proton charge is more than 5% below average
InputWorkspace Input MatrixWorkspace   Handle to reduced workspace
OutputWorkspace Output MatrixWorkspace Mandatory Handle to reduced workspace
GUDRUNFile Input string Mandatory Output filename. Allowed extensions: [‘.getn’]
GroupingFile Input string   Override grouping found in CalibrationFile. Allowed extensions: [‘.xml’]
CalibrationFile Input string   Allowed extensions: [‘.h5’, ‘.hd5’, ‘.hdf’, ‘.cal’]
CharacterizationRunsFile Input string   File with characterization runs denoted. Allowed extensions: [‘.txt’]
RemovePromptPulseWidth Input number 0 Width of events (in microseconds) near the prompt pulse to remove. 0 disables
CropWavelengthMin Input number 0 Crop the data at this minimum wavelength.
CropWavelengthMax Input number 0 Crop the data at this maximum wavelength.
Binning Input dbl list 0,0,0 Positive is linear bins, negative is logorithmic
ResampleX Input number 0 Number of bins in x-axis. Non-zero value overrides “Params” property. Negative value means logorithmic binning.
SetUncertainties Input string   Recalculate uncertainties. Empty string is do nothing. Allowed values: [‘’, ‘zero’, ‘sqrt’, ‘sqrtOrOne’, ‘oneIfZero’]

Description

This is a workflow algorithm that creates files suitable as input into GUDRUN.

  1. PDLoadCharacterizations v1
  2. LoadEventAndCompress v1 if InputWorkspace is not provided
  3. PDDetermineCharacterizations v1 to determine information from the characterization file
  4. AlignAndFocusPowder v1
  5. NormaliseByCurrent v1
  6. SetUncertainties v1 if SetUncertainties is specified
  7. SaveNexusPD v1

Source

Python: PDToGUDRUN.py (last modified: 2018-10-05)