Metadata-Version: 2.4
Name: jf1uids
Version: 0.4.0
Summary: differentiable (magneto)hydrodynamics for astrophysics in JAX
License-File: LICENSE
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
Classifier: Programming Language :: Python :: 3.14
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: scipy (>=1.0.0)
Description-Content-Type: text/markdown

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

> [!WARNING]  
> This project is still an alpha version (but generally functional), updates might break examples. We are aiming for the first stable release in mid-december 2025. The documentation might not reflect the current state of the code.

[![DOI](https://zenodo.org/badge/848159116.svg)](https://doi.org/10.5281/zenodo.15052815)

## Features

- [x] 1D, 2D and 3D hydrodynamics and magnetohydrodynamics simulations
- [x] a high-order finite difference constrained transport WENO MHD scheme following [HOW-MHD by Seo & Ryu 2023](https://arxiv.org/abs/2304.04360) as well as the provably divergence free and provably positivity preserving
finite volume approach of [Pang and Wu (2024)](https://arxiv.org/abs/2410.05173)
- [x] for finite volume simulations the basic Lax-Friedrichs, HLL and HLLC Riemann solvers as well as the HLLC-LM ([Fleischmann et al., 2020](https://www.sciencedirect.com/science/article/pii/S0021999120305362)) and HYBRID-HLLC & AM-HLLC ([Hu et al., 2025](https://www.sciencedirect.com/science/article/pii/S1007570425005891)) (sequels to HLLC-LM) variants
- [x] novel (possibly) conservative self gravity scheme, stable at strong discontinuities (currently only available for the finite volume solver)
- [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

| ![wind in driven turbulence](tests/finite_difference/figures/interm_driven_turb_wind4.png) |
|:---------------------------------------------------------------------------------:|
| Magnetohydrodynamics simulation with driven turbulence at a resolution of 512³ cells in a fifth order CT MHD scheme run on 4 H200 GPUs. |


| ![wind in driven turbulence](tests/finite_difference/figures/driven_turb_wind4.png) |
|:---------------------------------------------------------------------------------:|
| Magnetohydrodynamics simulation with driven turbulence and stellar wind at a resolution of 512³ cells in a fifth order CT MHD scheme run on 4 H200 GPUs. |

| ![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                                                          |

| ![Novel (Possibly) Conservative Self Gravity Scheme, Stable at Strong Discontinuities](notebooks/figures/collapse_conservation.svg) |
|:-----------------------------------------------------------------------------------------------------------------------------------:|
| Novel (Possibly) Conservative Self Gravity Scheme, Stable at Strong Discontinuities                                                 |

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

<!-- ## Scaling

| ![single gpu scaling]() |
|:---------------------------------------------------------------------------------:|
| Single GPU-scaling for the finite volume and finite difference MHD schemes. | -->

## 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)
