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Astronomical Light Curve Classification using Physics-Informed Neural Networks

Project description

CosmoNet

PyPI version Python versions License: Apache 2.0

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

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