iphysresearch/evo-mcts
Official implementation of "Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search" (arXiv:2508.03661).
This project helps gravitational-wave astronomers and astrophysicists automatically discover new algorithms for detecting faint gravitational-wave signals hidden in noisy detector data. By using advanced AI, it takes raw gravitational-wave datasets and outputs optimized detection algorithms that significantly improve signal identification. This tool is designed for researchers who analyze complex astrophysical data and need more robust and interpretable signal detection methods.
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Use this if you are a gravitational-wave researcher struggling to reliably identify weak signals amidst detector noise and need an automated, interpretable method to develop improved detection algorithms.
Not ideal if you are looking for a pre-packaged, off-the-shelf signal detection tool rather than a framework for discovering new detection algorithms.
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Language
Python
License
GPL-3.0
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Last pushed
Sep 01, 2025
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