Metadata-Version: 2.1
Name: jf1uids
Version: 0.2.3
Summary: differentiable (magneto)hydrodynamics for astrophysics in JAX
Author: Leonard Storcks
Requires-Python: >=3.9
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Dist: astropy (>=6.0.0)
Requires-Dist: beartype (>=0.19.0)
Requires-Dist: equinox (==0.10.10)
Requires-Dist: jax (>=0.4.0)
Requires-Dist: numpy (>=1.0.0)
Requires-Dist: optax (>=0.1.0)
Requires-Dist: scipy (>=1.0.0)
Description-Content-Type: text/markdown

# jf1uids - differentiable (magneto)hydrodynamics for astrophysics in JAX

## Features

- [x] 1D, 2D and 3D hydrodynamics and magnetohydrodynamics simulations
- [x] provably divergence free magnetic fields based on the approach of [Pang and Wu (2024)](https://arxiv.org/abs/2410.05173) (different from their approach not yet provably positivity preserving)
- [x] a first implementation of self-gravity based on a simple source term approach
- [x] spherically symmetric simulations such that mass and energy are conserved based on the scheme of [Crittenden and Balachandar (2018)](https://doi.org/10.1007/s00193-017-0784-y)
- [x] backwards and forwards differentiable with adaptive timestepping
- [x] easily extensible, all code is open source

## Installation

`jf1uids` can be installed via `pip`

```bash
pip install jf1uids
```

Note that if `JAX` is not yet installed, only the CPU version of `JAX` will be installed
as a dependency. For a GPU-compatible installation of `JAX`, please refer to the
[JAX installation guide](https://jax.readthedocs.io/en/latest/installation.html).

## Notebooks for Getting Started

- hydrodynamics
  - [1d shock tube](notebooks/hydrodynamics/simple_example.ipynb)
  - [1d spherical check of conservational properties](notebooks/hydrodynamics/conservational_properties.ipynb)
  - [2d Kelvin-Helmholtz instability](notebooks/hydrodynamics/kelvin_helmholtz.ipynb)
- magnetohydrodynamics
  - [2d Orszag-Tang vortex](notebooks/magnetohydrodynamics/orszag_tang_vortex.ipynb)
- self-gravity
  - [3d simulation of Evrard's collapse](notebooks/self_gravity/evrards_collapse.ipynb)
- stellar wind
  - [1d stellar wind with gradient showcase](notebooks/stellar_wind/gradients_through_stellar_wind.ipynb)
  - [1d stellar wind with parameter optimization](notebooks/stellar_wind/wind_parameter_optimization.ipynb)
  - [3d stellar wind](notebooks/stellar_wind/stellar_wind3D.ipynb)

## Showcase

| ![Orszag-Tang Vortex](notebooks/figures/orszag_tang_animation.gif) | ![3D Collapse](notebooks/figures/3d_collapse.gif) |
|:------------------------------------------------------------------:|:-------------------------------------------------:|
| Orszag-Tang Vortex                                                 | 3D Collapse                                       |

| ![Gradients Through Stellar Wind](notebooks/figures/gradients_through_stellar_wind.svg) |
|:---------------------------------------------------------------------------------------:|
| Gradients Through Stellar Wind                                                          |

| ![Wind Parameter Optimization](notebooks/figures/wind_parameter_optimization.png) |
|:---------------------------------------------------------------------------------:|
| Wind Parameter Optimization                                                       |


## Citable References

We have currently only published on the previous 1d-only version of this code.

[Storcks, L., & Buck, T. (2024). Differentiable Conservative Radially Symmetric Fluid Simulations and Stellar Winds--jf1uids. arXiv preprint arXiv:2410.23093.](https://arxiv.org/abs/2410.23093)
