ISISNeutronMuon / ISISNeutronMuon/abINS_lib
Benchmark mantid-like second-order with textbook implementation
- Dominant language
- Python
- Stars
- 0
- Forks
- 0
- Avg merge
- 47m
- Merged PRs (30d)
- 3
Description
The Mantid-like second-order calculation deviates from a "textbook" implementation in two significant ways:
- by iterating over individual q-points rather than q-point pairs (with significant performance implications)
- applying an extra factor of 0.5
It would be good to compare these over a range of materials and against experimental data, to understand the success of this method and whether it would be worth switching for general (or only for "best-quality") calculations.
It would make sense to do this after #33 so that isotropic self-convolution is also part of the comparison; this might be the "draft-quality" option.
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, materials, or experimental datasets are named. Start by locating the Mantid-like second-order calculation and review the dependency on #33, then define comparisons of q-point versus q-point-pair iteration and the extra 0.5 factor across materials; done means the results are compared with experimental data and support a decision on which method to use.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data, performance
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100