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PhenomXPNR: an improved gravitational wave model linking precessing inspirals and NR-calibrated merger-ringdown

PhenomXPNR: an improved gravitational wave model linking precessing inspirals and NR-calibrated merger-ringdown
PhenomXPNR: an improved gravitational wave model linking precessing inspirals and NR-calibrated merger-ringdown
We present the frequency-domain quasi-circular precessing binary-black-hole model PhenomXPNR. This model combines the most precise available post-Newtonian description of the evolution of the precession dynamics through inspiral with merger-ringdown model informed by numerical relativity. This, along with a phenomenological model of the dominant multipole asymmetries, results in the most accurate and complete representation of the physics of precessing binaries natively in the frequency-domain to date. All state-of-the-art precessing models show bias when inferring binary parameters in certain regions of the parameter space. We demonstrate that the developments presented ensure that for some precessing systems PhenomXPNR shows the least degree of bias. Further, as a phenomenological, frequency-domain model, PhenomXPNR remains one of the most computationally efficient models available and is therefore well-suited to the era of gravitational-wave astronomy with its ever growing rate of detected signals.
arXiv
Hamilton, Eleanor
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Colleoni, Marta
2434e52e-94bd-4dc7-8f80-037a9e5b3917
Thompson, Jonathan E.
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Hoy, Charlie
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Heffernan, Anna
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Kinnear, Meryl
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Ramis Vidal, Felip A.
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Garcia-Quiros, Cecilio
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Ghosh, Shrobana
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London, Lionel
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Hannam, Mark
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Husa, Sascha
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Hamilton, Eleanor
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Colleoni, Marta
2434e52e-94bd-4dc7-8f80-037a9e5b3917
Thompson, Jonathan E.
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Hoy, Charlie
7d31ecfa-4847-4904-85f3-ed04ba4c6bc3
Heffernan, Anna
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Kinnear, Meryl
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Ramis Vidal, Felip A.
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Garcia-Quiros, Cecilio
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Ghosh, Shrobana
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London, Lionel
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Hannam, Mark
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Husa, Sascha
ed077083-41a9-4ff3-b5b6-b48ee8802063

[Unknown type: UNSPECIFIED]

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Abstract

We present the frequency-domain quasi-circular precessing binary-black-hole model PhenomXPNR. This model combines the most precise available post-Newtonian description of the evolution of the precession dynamics through inspiral with merger-ringdown model informed by numerical relativity. This, along with a phenomenological model of the dominant multipole asymmetries, results in the most accurate and complete representation of the physics of precessing binaries natively in the frequency-domain to date. All state-of-the-art precessing models show bias when inferring binary parameters in certain regions of the parameter space. We demonstrate that the developments presented ensure that for some precessing systems PhenomXPNR shows the least degree of bias. Further, as a phenomenological, frequency-domain model, PhenomXPNR remains one of the most computationally efficient models available and is therefore well-suited to the era of gravitational-wave astronomy with its ever growing rate of detected signals.

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2507.02604v1 - Author's Original
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Published date: 3 July 2025

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Local EPrints ID: 503926
URI: http://eprints.soton.ac.uk/id/eprint/503926
PURE UUID: f3790311-5c94-482c-a0b5-11cc8e26c88a
ORCID for Jonathan E. Thompson: ORCID iD orcid.org/0000-0002-0419-5517

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Date deposited: 18 Aug 2025 16:48
Last modified: 22 Aug 2025 02:44

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Contributors

Author: Eleanor Hamilton
Author: Marta Colleoni
Author: Jonathan E. Thompson ORCID iD
Author: Charlie Hoy
Author: Anna Heffernan
Author: Meryl Kinnear
Author: Felip A. Ramis Vidal
Author: Cecilio Garcia-Quiros
Author: Shrobana Ghosh
Author: Lionel London
Author: Mark Hannam
Author: Sascha Husa

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