A differentiable simulation library for fuzzy dark matter in JAX
Project description
jaxion
A simple JAX-powered simulation library for numerical experiments of fuzzy dark matter, stars, gas + more!
Author: Philip Mocz (@pmocz)
Jaxion is built for multi-GPU scalability and is fully differentiable. It is a high-performance JAX-based simulation library for modeling fuzzy dark matter alongside stars, gas, and cosmological dynamics. Being differentiable, Jaxion can seamlessly integrate with pipelines for inverse-problems, inference, optimization, and coupling to ML models.
Jaxion is the simpler companion project to differentiable astrophysics code Adirondax
Getting started
Install with:
pip install jaxion
or, for GPU support use:
pip install jaxion[cuda12]
Check out the examples/ directory for demonstrations of using Jaxion.
Examples
Links
- Code repository on GitHub (this page).
- Documentation for up-to-date information about installing and running jaxion.
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