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|a Hughes, Scott A
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|a Massachusetts Institute of Technology. Department of Physics
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|a Katz, Michael L.
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|a Warburton, Niels
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|a Hughes, Scott A.
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|a Rapid Generation of Fully Relativistic Extreme-Mass-Ratio-Inspiral Waveform Templates for LISA Data Analysis
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|b American Physical Society,
|c 2021-11-23T16:31:29Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/136706.2
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|a The future space mission LISA will observe a wealth of gravitational-wave sources at millihertz frequencies. Of these, the extreme-mass-ratio inspirals of compact objects into massive black holes are the only sources that combine the challenges of strong-field complexity with that of long-lived signals. Such signals are found and characterized by comparing them against a large number of accurate waveform templates during data analysis, but the rapid generation of templates is hindered by computing the ∼10^{3}-10^{5} harmonic modes in a fully relativistic waveform. We use order-reduction and deep-learning techniques to derive a global fit for the ≈4000 modes in the special case of an eccentric Schwarzschild orbit, and implement the fit in a complete waveform framework with hardware acceleration. Our high-fidelity waveforms can be generated in under 1 s, and achieve a mismatch of ≲5×10^{-4} against reference waveforms that take ≳10^{4} times longer. This marks the first time that analysis-length waveforms with full harmonic content can be produced on timescales useful for direct implementation in LISA analysis algorithms.
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|a United States. National Aeronautics and Space Administration (ATP Grant no. 80NSSC18K1091)
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|a National Science Foundation (U.S.) (Grant no. PHY-1707549)
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|a en
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|a Article
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|t Physical review letters
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