EMRI frequency tracks skip waveform generation: harmonic pairs identified 98% of the time among physical candidates, parameter volume cut by up to four more orders
Extreme mass ratio inspirals (EMRIs) have long, multi-harmonic waveforms that make search and parameter estimation expensive. This work trains simulation-based inference networks directly on frequency tracks from a time-frequency search: harmonic pairs are identified correctly in 98% of cases among physically plausible candidates, and sequential inference shrinks the intrinsic-parameter prior volume, with a detection-statistic refinement cutting up to four further orders of magnitude so heavily masked tracks approach the precision of the least-masked cases.