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Published July 15, 2019 | Published + Accepted Version
Journal Article Open

Phenomenological model for the gravitational-wave signal from precessing binary black holes with two-spin effects

Abstract

The properties of compact binaries, such as masses and spins, are imprinted in the gravitational waves (GWs) they emit and can be measured using parametrized waveform models. Accurately and efficiently describing the complicated precessional dynamics of the various angular momenta of the system in these waveform models is the object of active investigation. One of the key models extensively used in the analysis of LIGO and Virgo data is the single-precessing-spin waveform model IMRPhenomPv2. In this article we present a new model IMRPhenomPv3, which includes the effects of two independent spins in the precession dynamics. Whereas IMRPhenomPv2 utilizes a single-spin frequency-dependent post-Newtonian rotation to describe precession effects, the improved model, IMRPhenomPv3, employs a double-spin rotation that is based on recent developments in the description of precessional dynamics. Besides double-spin precession, the improved model benefits from a more accurate description of precessional effects. We validate our new model against a large set of precessing numerical-relativity simulations. We find that IMRPhenomPv3 has better agreement with the inspiral portion of precessing binary-black-hole simulations and is more robust across a larger region of the parameter space than IMRPhenomPv2. As a first application we analyze the gravitational-wave event GW151226 with an efficient frequency-domain waveform model that describes two-spin precession. Within statistical uncertainty our results are consistent with published results. IMRPhenomPv3 will allow studies of the measurability of individual spins of binary black holes using GWs and can be used as a foundation upon which to build further improvements, such as modeling precession through merger, extending to higher multipoles, and including tidal effects.

Additional Information

© 2019 American Physical Society. Received 8 October 2018; published 29 July 2019. We thank Carl-Johan Haster for kindly supplying the PSD computed using BayesWave for the parameter estimation study of GW151226. We thank Sylvain Marsat for useful discussions. S. K. and F. O. acknowledge support by the Max Planck Society's Independent Research Group Grant. We thank the Atlas cluster computing team at AEI Hannover where this analysis was carried out. M. H. was supported by Science and Technology Facilities Council (STFC) Grant No. ST/L000962/1 and European Research Council Consolidator Grant No. 647839. This work made use of numerous open source computational packages such as python [88], NumPy, SciPy [89], Matplotlib [90] and the GW data analysis software library pycbc [91].

Attached Files

Published - PhysRevD.100.024059.pdf

Accepted Version - 1809.10113.pdf

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Created:
August 19, 2023
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October 20, 2023