jax-snana
GPU-accelerated supernova simulation, light curve fitting and cosmology in JAX
Developed and maintained by Matt Grayling (@mattgrayling).
About
jax-snana is a JAX reimplementation of the supernova analysis framework SNANA, supporting survey simulations, light curve fitting, BBC distance fitting and cosmological inference on CPU or GPU. It also provides a compiled simulator for simulation-based inference, as discussed in Grayling 2026 (https://arxiv.org/abs/2610.19000).
Installation and usage
jax-snana can be pip-installed via the command pip install jax-snana.
Detailed instructions on how to install and run jax-snana can be found here: https://jax-snana.readthedocs.io
Support
If you find something unclear, come across any bugs or would like a feature that is not yet implemented, please raise a GitHub issue.
Citing the code
If you use jax-snana, please cite Grayling 2026 (arXiv:2610.19000) as well as SNANA, Kessler et al. 2009 (PASP 121, 1028). If you use any of the models included within jax-snana, please also cite the papers that present them, listed here: https://jax-snana.readthedocs.io/en/latest/citing.html
1 maintainer
Metadata
1 maintainer
Release files for jax-snana 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| jax_snana-0.1.0.tar.gz | 9.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jax_snana-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.8 MB
Release files / jax_snana-0.1.0.tar.gz
| Download URL | jax_snana-0.1.0.tar.gz |
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| Tags | Source |
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| Tags | Python 3 |
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twine/7.0.0 CPython/3.13.14
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