Computing fast and reliable gravitational waveforms of binary neutron star merger remnants

Paul J. Easter; Paul D. Lasky; Andrew R. Casey; Luciano Rezzolla; Kentaro Takami

doi:10.1103/PhysRevD.100.043005

Computing fast and reliable gravitational waveforms of binary neutron star merger remnants

Paul J. Easter, Paul D. Lasky, Andrew R. Casey, Luciano Rezzolla, Kentaro Takami

Research output: Contribution to journal › Article › Research › peer-review

28 Citations (Scopus)

Abstract

Gravitational waves have been detected from the inspiral of a binary neutron-star, GW170817, which allowed constraints to be placed on the neutron star equation of state. The equation of state can be further constrained if gravitational waves from a postmerger remnant are detected. Postmerger waveforms are currently generated by numerical-relativity simulations, which are computationally expensive. Here we introduce a hierarchical model trained on numerical-relativity simulations, which can generate reliable postmerger spectra in a fraction of a second. Our spectra have mean fitting factors of 0.95, which compares to a fitting factor of 0.93 between different numerical-relativity codes that simulate the same physical system. This method is the first step towards generating large template banks of spectra for use in postmerger detection and parameter estimation.

Original language	English
Article number	043005
Number of pages	7
Journal	Physical Review D
Volume	100
Issue number	4
DOIs	https://doi.org/10.1103/PhysRevD.100.043005
Publication status	Published - 7 Aug 2019

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AU - Takami, Kentaro

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Computing fast and reliable gravitational waveforms of binary neutron star merger remnants

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ARC Centre of Excellence for Gravitational Wave Discovery

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Computing fast and reliable gravitational waveforms of binary neutron star merger remnants

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ARC Centre of Excellence for Gravitational Wave Discovery

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