Adding truncated normal distribution to `astropy.uncertainty` interface
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- Python
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Description
### Description
Hello,
It would be nice to be able to use a truncated normal distribution in the uncertainty interface, for quantities that cannot go above or beyond a specific limit (for example an orbit eccentricity). I took a quick look at the interface and adding a distribution does not seem too hard, so I could try to send a PR for this if there is interest. However, NumPy does not have a truncated normal generator, so the two available options would be to use SciPy or implement it from scratch. The SciPy options seems to be the simplest, so I was wondering if it would be OK to require SciPy for this specific distribution ?
Thanks!
Contributor guide
Research direction
Start by reading the existing astropy.uncertainty interface and how its current distributions are exposed. Decide whether this distribution should use SciPy or a from-scratch implementation, then verify that a truncated normal distribution is available through the interface with the intended limits.
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Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100