LRAutoReduction dialog.
Table of Contents
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| Filename | Input | string | Mandatory | Data file to reduce. Allowed extensions: [‘.nxs’] |
| TemplateFile | Input | string | Template reduction file. Allowed extensions: [‘.xml’] | |
| ScaleToUnity | Input | boolean | True | If true, the reflectivity under the Q given cutoff will be scaled to 1 |
| PrimaryFractionRange | Input | int list | 117,197 | Pixel range to use for calculating the primary fraction correction. |
| ScalingFactorTOFStep | Input | number | 200 | Bin width in TOF for fitting scaling factors |
| ScalingWavelengthCutoff | Input | number | 10 | Wavelength above which the scaling factors are assumed to be one |
| FindPeaks | Input | boolean | False | Find reflectivity peaks instead of using the template values |
| ForceSequenceNumber | Input | number | 0 | Force the sequence number value if it’s not available |
| OutputFilename | Input | string | Name of the reflectivity file output. Allowed values: [‘txt’] | |
| OutputDirectory | Input | string | Mandatory |
This algorithm gathers the information needed to launch the LR reduction. It is called by the post-processing system after a new data file is created.
If a reduction template file is provided, the reduction will use the options in that file. If no reduction template is provided, reduction parameters will be read from the Nexus file.
For sample data runs, the LiquidsReflectometryReduction algorithm is called to perform the reduction, followed by the LRReflectivityOutput algorithm to put the different pieces of the reduced data into a single reflectivity file.
For direct beams, the LRDirectBeamSort workflow algorithm is called to generate a scaling factor file.
Categories: Algorithms | Reflectometry\SNS
Python: LRAutoReduction.py