Skip to content

JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.

License

Notifications You must be signed in to change notification settings

lenstronomy/JAXtronomy

Repository files navigation

JAXtronomy

https://codecov.io/gh/lenstronomy/JAXtronomy/graph/badge.svg?token=6EJAX8CF62 https://img.shields.io/pypi/v/jaxtronomy?label=PyPI&logo=pypi

JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.

Disclaimer: This project is still in an early development phase and serves as a skeleton for someone taking the lead on it :)

The goal of this library is to reimplement lenstronomy functionalities in pure JAX to allow for automatic differentiation, GPU acceleration, and batched computations.

Guiding Principles:

  • Strive to be a drop-in replacement for lenstronomy, i.e. provide a close match to the lenstronomy API.
  • Each function/feature will be tested against the reference lenstronomy implementation.
  • This package will aim to be a subset of lenstronomy (i.e. only contains functions with a reference lenstronomy implementation).
  • Implementations should be easy to read and understand.
  • Code should be pip installable on any machine, no compilation required.
  • Any notable differences between the JAX and reference implementations will be clearly documented.

Related software packages

The following lensing software packages do use JAX-accelerated computing that in part were inspired or made use of lenstronomy functions:

About

JAX port of lenstronomy, for parallelized, GPU accelerated, and differentiable gravitational lensing and image simulations.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •