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Faster optimization for heterodyne likelihood using Jax #7

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kazewong opened this issue May 11, 2023 · 0 comments · Fixed by #9
Closed

Faster optimization for heterodyne likelihood using Jax #7

kazewong opened this issue May 11, 2023 · 0 comments · Fixed by #9
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@kazewong
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Currently, the optimization is done through scipy differential evolution by calling the jax kernel probably sequentially, which is pretty slow.

Ideally we want something completely Jaxxed, such as a vmap lbfgs to solve for the optimum

@kazewong kazewong self-assigned this May 11, 2023
@kazewong kazewong linked a pull request May 12, 2023 that will close this issue
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