Adiabatic waveforms for extreme mass-ratio inspirals via multivoice decomposition in time and frequency
Scott A. Hughes, Niels Warburton, Gaurav Khanna, Alvin J. K. Chua, and, Michael L. Katz

TL;DR
This paper introduces an efficient method to generate adiabatic waveforms for extreme mass-ratio inspirals by decomposing the waveform into evolving 'voices', enabling accurate modeling of complex orbital geometries including generic cases.
Contribution
It presents the first calculation of a generic EMRI waveform incorporating strong-field radiation reaction using a novel multivoice decomposition approach.
Findings
Waveforms can be constructed by summing evolving voices.
The method applies to various orbital geometries, including generic inclined and eccentric orbits.
The approach allows for efficient and faithful EMRI waveform modeling.
Abstract
We compute adiabatic waveforms for extreme mass-ratio inspirals (EMRIs) by "stitching" together a long inspiral waveform from a sequence of waveform snapshots, each of which corresponds to a particular geodesic orbit. We show that the complicated total waveform can be regarded as a sum of "voices." Each voice evolves in a simple way on long timescales, a property which can be exploited to efficiently produce waveform models that faithfully encode the properties of EMRI systems. We look at examples for a range of different orbital geometries: spherical orbits, equatorial eccentric orbits, and one example of generic (inclined and eccentric) orbits. To our knowledge, this is the first calculation of a generic EMRI waveform that uses strong-field radiation reaction. We examine waveforms in both the time and frequency domains. Although EMRIs evolve slowly enough that the stationary phase…
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