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kevin218 / Eureka

Eureka! is a data reduction and analysis pipeline intended for time-series observations with JWST and HST.
https://eurekadocs.readthedocs.io/
MIT License
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S5: Look into using jax based packages for both GP and nested sampling #170

Open evamariaa opened 2 years ago

evamariaa commented 2 years ago

To improve speed of light curve fitting, especially using Gaussian Processes (GPs), we have already discussed adding tinygp package to the stage 5 fitting. I haven't finished coding that yet though. When looking into tinygp, I realised that it's based on jax, which is kind of like numpy but for high-performance computing, and that there's also a fast nested sampling algorithm using jax called jaxns, which is quite a bit faster than dynesty or multinest. Would be useful to include that in the future.

taylorbell57 commented 2 years ago

I'm curious to see how well this will play with things like Batman

taylorbell57 commented 5 months ago

I think jaxoplanet is going to make using jax possible - they're only at v0.0.2 so there's presumably a fair bit a work for them to do still, but my fingers are crossed that this'll significantly accelerate and simplify things in the future