streamax 0.4.0

A JAX-accelerated stream generator (StreaMAX)

Image credit: Sarah Kane

A JAX-Accelerated Stellar Stream Generator

StreaMAX is a lightweight, high-performance simulator for stellar streams built with JAX.
It’s designed to make modeling and inference on stellar streams fast enough for Bayesian analysis and modern data-intensive workflows.

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🚀 Features

• Particle-spray modeling of stellar streams
• Fast 2D track extraction
• JAX-accelerated integration for GPU/TPU compatibility
• Automatic differentiation, can easily compute gradients of the models directly via JAX
• Modular architecture

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🧩 Models

StreaMAX supports:

• Rapid generation of stellar streams using the particle-spray method
• Efficient extraction of stream tracks for analysis and inference

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🧪 Quick Start

See the quick_start.ipynb notebook for an example on how to:

• Define potential and stream parameters
• Generate a stream using the particle-spray method
• Extract and visualize the resulting track

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⚙️ Installation

From PyPI

pip install StreaMAX

From GitHub (development version)

git clone https://github.com/David-Chemaly/StreaMAX.git
cd StreaMAX
pip install -e .

Manual dependency installation

pip install -r requirements.txt

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📚 Citation & License

This project is released under the MIT License.
If you use StreaMAX in your research, please cite and reference the following paper:

Chemaly, D. et al. 2025, Hierarchical bayesian inference: constraining population distribution of dark matter halo shapes via stellar streams

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🪐 Contributing

Pull requests and feature suggestions are welcome.
If you encounter bugs or wish to contribute new potentials or integrators, please open an issue on GitHub.

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Fast. Differentiable. Modular. JAX-powered.