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  Phenomenological gravitational-wave model for precessing black-hole binaries with higher multipoles and asymmetries

Thompson, J. E., Hamilton, E., London, L., Ghosh, S., Kolitsidou, P., Hoy, C., et al. (2024). Phenomenological gravitational-wave model for precessing black-hole binaries with higher multipoles and asymmetries. Physical Review D, 109(6): 063012. doi:10.1103/PhysRevD.109.063012.

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 Creators:
Thompson, Jonathan E., Author
Hamilton, Eleanor, Author
London, Lionel, Author
Ghosh, Shrobana1, Author           
Kolitsidou, Panagiota, Author
Hoy, Charlie, Author
Hannam, Mark, Author
Affiliations:
1Binary Merger Observations and Numerical Relativity, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_2461691              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, High Energy Astrophysical Phenomena, astro-ph.HE
 Abstract: In this work we introduce PhenomXO4a, the first phenomenological,
frequency-domain gravitational waveform model to incorporate multipole
asymmetries and precession angles tuned to numerical relativity. We build upon
the modeling work that produced the PhenomPNR model and incorporate our
additions into the IMRPhenomX framework, retuning the coprecessing frame model
and extending the tuned precession angles to higher signal multipoles. We also
include, for the first time in frequency-domain models, a recent model for
spin-precession-induced multipolar asymmetry in the coprecessing frame to the
dominant gravitational-wave multipoles. The accuracy of the full model and its
constituent components is assessed through comparison to numerical relativity
and numerical relativity surrogate waveforms by computing mismatches and
performing parameter estimation studies. We show that, for the dominant signal
multipole, we retain the modeling improvements seen in the PhenomPNR model. We
find that the relative accuracy of current full IMR models varies depending on
location in parameter space and the comparison metric, and on average they are
of comparable accuracy. However, we find that variations in the pointwise
accuracy do not necessarily translate into large biases in the parameter
estimation recoveries.

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 Dates: 2023-12-152024
 Publication Status: Issued
 Pages: 25 pages, 16 figures
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 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 2312.10025
DOI: 10.1103/PhysRevD.109.063012
 Degree: -

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Title: Physical Review D
Source Genre: Journal
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Pages: - Volume / Issue: 109 (6) Sequence Number: 063012 Start / End Page: - Identifier: -