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dc.contributor.authorSperi, Lorenzo
dc.contributor.authorKatz, Michael L
dc.contributor.authorChua, Alvin JK
dc.contributor.authorHughes, Scott A
dc.contributor.authorWarburton, Niels
dc.contributor.authorThompson, Jonathan E
dc.contributor.authorChapman-Bird, Christian EA
dc.contributor.authorGair, Jonathan R
dc.date.accessioned2026-04-02T14:52:32Z
dc.date.available2026-04-02T14:52:32Z
dc.date.issued2024-01-12
dc.identifier.urihttps://hdl.handle.net/1721.1/165307
dc.description.abstractExtreme Mass Ratio Inspirals (EMRIs) are one of the key sources for future spacebased gravitational wave interferometers. Measurements of EMRI gravitational waves are expected to determine the characteristics of their sources with subpercent precision. However, their waveform generation is challenging due to the long duration of the signal and the high harmonic content. Here, we present the first ready-to-use Schwarzschild eccentric EMRI waveform implementation in the frequency domain for use with either graphics processing units (GPUs) or central processing units (CPUs). We present the overall waveform implementation and test the accuracy and performance of the frequency domain waveforms against the time domain implementation. On GPUs, the frequency domain waveform takes in median 0.044 s to generate and is twice as fast to compute as its time domain counterpart when considering massive black hole masses ≥ 2 × 106 M⊙ and initial eccentricities e0 > 0.2. On CPUs, the median waveform evaluation time is 5 s, and it is five times faster in the frequency domain than in the time domain. Using a sparser frequency array can further speed up the waveform generation, reaching up to 0.3 s. This enables us to perform, for the first time, EMRI parameter inference with fully relativistic waveforms on CPUs. Future EMRI models, which encompass wider source characteristics (particularly black hole spin and generic orbit geometries), will require significantly more harmonics. Frequency domain models will be essential analysis tools for these astrophysically realistic and important signals.en_US
dc.language.isoen
dc.publisherFrontiers Media SAen_US
dc.relation.isversionofhttps://doi.org/10.3389/fams.2023.1266739en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceFrontiers Media SAen_US
dc.titleFast and Fourier: extreme mass ratio inspiral waveforms in the frequency domainen_US
dc.typeArticleen_US
dc.identifier.citationSperi L, Katz ML, Chua AJK, Hughes SA, Warburton N, Thompson JE, Chapman-Bird CEA and Gair JR (2024) Fast and Fourier: extreme mass ratio inspiral waveforms in the frequency domain. Front. Appl. Math. Stat. 9:1266739.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.departmentMIT Kavli Institute for Astrophysics and Space Researchen_US
dc.relation.journalFrontiers in Applied Mathematics and Statisticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2026-04-02T14:46:29Z
dspace.orderedauthorsSperi, L; Katz, ML; Chua, AJK; Hughes, SA; Warburton, N; Thompson, JE; Chapman-Bird, CEA; Gair, JRen_US
dspace.date.submission2026-04-02T14:46:30Z
mit.journal.volume9en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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