Table of Contents
Name | Direction | Type | Default | Description |
---|---|---|---|---|
Filename | Input | string | Mandatory | 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 |
PDFgetNFile | Input | string | Mandatory | Output filename. Allowed extensions: [‘.getn’] |
CalibrationFile | Input | string | Allowed extensions: [‘.h5’, ‘.hd5’, ‘.hdf’, ‘.cal’] | |
CharacterizationRunsFile | Input | string | File with characterization runs denoted. Allowed values: [‘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. |
This is a workflow algorithm that creates files suitable as input into PDFgetN.
Categories: Algorithms | Workflow\Diffraction
Python: PDToPDFgetN.py