quasiseparable kernel convolution
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- Python
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Description
Hi @dfm et al.,
tinygp is solving lots of my problems, thanks for your hard work.
One feature that's in celerite2 but not tinygp is TermConvolution (source), which convolves a quasiseparable kernel with an observation duration.
What would the path look like to implement its equivalent in tinygp? I'd be happy to make a PR if I had some pointers on where to start.
Thanks!
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading celerite2/jax/terms.py at the referenced TermConvolution implementation and then locate tinygp’s quasiseparable kernel code. Determine how an equivalent observation-duration convolution would fit tinygp; done means tinygp supports the requested equivalent feature with behavior matching the celerite2 reference.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100