suttonentropyanalysistool - SEAT — Sutton Entropy Analysis Tool

Initial public release of SEAT: A modular analysis framework for studying information retention in gravitational wave events.

SEAT performs entropy-based decomposition of LIGO strain data using Shannon, Renyi, and Tsallis models, supporting advanced features like: • Quantum echo detection • Mutual information analysis (H1/L1 correlation) • Bayesian entropy model comparison • Persistent homology (topological tracking) • Soft hair memory estimation • Event-level diagnostics

This tool was designed to make quantum-scale deviations in black hole mergers more accessible and measurable by the broader scientific community.

Note: Quantum echo analysis is optional due to its high computational load.

For academic/non-commercial use. Feedback and contributions are welcome!

- Python
Published by MRaySutt about 1 year ago