Unlocking New Paths for Efficient Analysis of Gravitational Waves from Extreme-Mass-Ratio Inspirals with Machine Learning
Extreme-mass-ratio inspirals have complex waveforms and difficult posterior structure. This study applies flow matching and continuous normalizing flows to accelerate Bayesian parameter estimation. Simulated analyses compare learned posteriors with …