AI RESEARCH
Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework
arXiv CS.LG
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ArXi:2605.02453v1 Announce Type: cross We present a machine learning framework for testing general relativity (GR) with gravitational wave signals from binary black hole mergers. Using the source parameters of 173 BBH events from the GWTC catalog as a realistic astrophysical population, we generate simulated GR waveforms and construct beyond GR (BGR) waveforms by applying controlled phase deformations. We