Speaker
Description
Historically, data workflows for single crystal inelastic neutron experiments were using a pre-histogramming step, storing data for each detector as a histogram in energy transfer. Therefore, each bin of these histograms is then a measurement of the dynamic structure factor (or double differential cross section). A useful representation of this data includes transformation into momentum transfer, and a final histogramming step in the desired momentum and energy transfer grid. The main deficiencies of such existing approach are (i) the large amount of memory resources needed to store the histogram bins with zero neutron counts, and (ii) the difficulty of error propagation in re-histogramming, which resulted in the absence of weighting of contributions with different statistical significance.
We have developed a different approach, where the histogramming to energy-momentum space is based on neutron detection events and accounts for their statistical significance. The algorithm is implemented in the Mantid software.
The script based interface was made available a few years ago. This presentation will focus on showing the newly implemented graphical interface, and will emphasize lessons learn for improvement of the software code and the user experience.
This research used resources at the Spallation Neutron Source, a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory.
| Abstract publication | I agree that the abstract will be published on the web site |
|---|
