SHINE: SHear INference Environment

A JAX-powered framework for probabilistic shear estimation in weak gravitational lensing

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🌟 Overview

SHINE (SHear INference Environment) is a modern, high-performance framework for probabilistic shear estimation in weak gravitational lensing studies. Built on JAX, it leverages automatic differentiation and just-in-time compilation to deliver fast, scalable inference for cosmological applications.

✨ Key Features

• 🚀 JAX-powered: Automatic differentiation and JIT compilation for optimal performance
• 📊 Probabilistic Inference: Full posterior distributions for shear estimates
• 🔧 Modular Design: Flexible architecture for easy extension and customization
• 🎯 GPU Acceleration: Seamless GPU support for large-scale analyses
• 📈 Scalable: Efficient handling of large imaging surveys

📦 Installation

# Clone the repository
git clone https://github.com/CosmoStat/SHINE.git
cd SHINE

# Install dependencies (recommended: use a virtual environment)
pip install -e .

🚀 Quick Start

import shine
import jax.numpy as jnp

# Some TBD magic happens

# Get shear estimates
g1, g2 = posterior.mean()

🤝 Contributing

We welcome contributions! This project is in early development, and we're excited to collaborate with the community.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🏗️ Status

⚠️ Early Development: This project is under active development. APIs may change.

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Developed by CosmoStat Lab