3.5

LoadDNSLegacy v1

../_images/LoadDNSLegacy-v1_dlg.png

LoadDNSLegacy dialog.

Summary

Load the DNS Legacy data file to the mantid workspace.

Properties

Name Direction Type Default Description
Filename Input string Mandatory Name of DNS experimental data file. Allowed extensions: [‘.d_dat’]
OutputWorkspace Output Workspace Mandatory Name of the workspace to store the experimental data.
Polarisation Input string 0 Type of polarisation. Allowed values: [‘0’, ‘x’, ‘y’, ‘z’, ‘-x’, ‘-y’, ‘-z’]
Normalization Input string duration Type of data for normalization. Allowed values: [‘duration’, ‘monitor’]

Description

Warning

This algorithm is being developed for a specific instrument. It might get changed or even removed without a notification, should instrument scientists decide to do so.

This algorithm loads a DNS legacy data file into a Workspace2D. Two workspaces will be created:

  • raw data workspace with the given name.
  • workspace with normalization data (monitor counts or experiment duration by user’s choice). The normalization workspace is named same as the data workspace, but has suffix “_NORM”.

The loader rotates the detector bank in the position given in the data file. No operations on the neutron counts are performed. Sample logs are dublicated for both, data and normalization workspaces.

This algorithm only supports DNS instrument in its configuration before major upgrade.

Usage

Example - Load a DNS legacy .d_dat file:

# data file.
datafile = 'dn134011vana.d_dat'

# Load dataset
ws = LoadDNSLegacy(datafile, Polarisation='x', Normalization='monitor')

print "This workspace has", ws.getNumDims(), "dimensions and has", ws.getNumberHistograms(), "histograms."

Output:

This workspace has 2 dimensions and has 24 histograms.

Categories: Algorithms | PythonAlgorithms | MLZ | DNS | DataHandling