Uncertainties from Lorentz corrections?
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- Dominant language
- Python
- Stars
- 1
- Forks
- 3
- Avg merge
- 2d 11h
- Merged PRs (30d)
- 17
Description
The Lorentz correction factors $d$-dependent and/or $\theta$-dependent contributions into the data. The currently implementation does not include error bars, i.e., we assume it is exact. There is however significant and somewhat know uncertainty. For example, the error bars on $\theta$ are given (amongst other things) by the pixel/voxel size and the sample size. I think we should include this when such information is readily available.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the implementation of the Lorentz correction factors and reviewing how d, theta, pixel or voxel size, and sample size are represented in the data. Define how uncertainty should be propagated and when information is available; done means the correction includes error bars without assuming the inputs are exact.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100