Astronomical Light Curve Classification using Physics-Informed Neural Networks
Project description
CosmoNet
CosmoNet is a Python package for astronomical light curve classification using Physics-Informed Neural Networks (PINNs). It combines traditional statistical features with physics-based features derived from astronomical principles to achieve high-accuracy classification of astronomical transients.
Features
- Physics-Informed Features: Incorporates domain knowledge from astronomy
- Multi-Model Ensemble: Combines multiple machine learning models
- Time Series Analysis: Specialized features for light curve temporal patterns
- Redshift Correction: Accounts for cosmological effects
- Extreme Event Detection: Identifies significant flux variations
- Research-Ready: Generates publication-quality figures and analysis
Installation
pip install cosmonet
Project details
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