DPDFreduction v1

../_images/DPDFreduction-v1_dlg.png

DPDFreduction dialog.

Table of Contents

Summary

Obtain S(Q,E) sliced in E

Properties

Name Direction Type Default Description
RunNumbers Input string   Sample run numbers
Vanadium Input string   Preprocessed vanadium file. Allowed extensions: [‘.nxs’]
EmptyCanRunNumbers Input string   Empty can run numbers
EnergyBins Input string 1.5 Energy transfer binning scheme (in meV)
MomentumTransferBins Input string   Momentum transfer binning scheme (in inverse Angstroms)
NormalizeSlices Input boolean False Do we normalize each slice?
CleanWorkspaces Input boolean True Do we clean intermediate steps?
OutputWorkspace Output MatrixWorkspace S_Q_E_sliced Output workspace

Description

This algorithm is under development.

Note

Do not use this algortithm, it is heavily under development.

Categories: Algorithms | Inelastic | PythonAlgorithms | Utility | Development