Toward inference of overlapping gravitational-wave signals

Pizzati, Elia, Sachdev, Surabhi, Gupta, Anuradha and Sathyaprakash, B. S. ORCID: https://orcid.org/0000-0003-3845-7586 2022. Toward inference of overlapping gravitational-wave signals. Physical Review D 105 (10) , 104016. 10.1103/PhysRevD.105.104016

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Abstract

Merger rates of binary black holes, binary neutron stars, and neutron-star–black-hole binaries in the local Universe (i.e., redshift z = 0 ), inferred from the Laser Interferometer Gravitational Wave Observatory and Virgo, are 16 − 130     Gpc − 3   yr − 1 , 13 − 1900     Gpc − 3   yr − 1 , and 7.4 − 320     Gpc − 3   yr − 1 , respectively. These rates suggest that there is a significant chance that two or more of these signals will overlap with each other during their lifetime in the sensitivity band of future gravitational-wave detectors such as the Cosmic Explorer and Einstein Telescope. The detection pipelines provide the coalescence time of each signal with an accuracy O ( 10     ms ) . We show that by using a prior on the coalescence time from a detection pipeline, it is possible to correctly infer the properties of these overlapping signals with the current data-analysis infrastructure. We study different configurations of two overlapping signals created by nonspinning binaries, varying their time and phase at coalescence, as well as their signal-to-noise ratios. We conclude that, for the scenarios considered in this work, parameter inference is robust provided that their coalescence times in the detector frame are more than ∼ 1 – 2     s . Signals whose coalescence epochs lie within ∼ 0.5     s of each other suffer from significant biases in parameter inference, and new strategies and algorithms would be required to overcome such biases.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Physics and Astronomy
Publisher:	American Physical Society
ISSN:	2470-0010
Date of First Compliant Deposit:	6 January 2023
Date of Acceptance:	5 April 2022
Last Modified:	13 Nov 2024 16:15
URI:	https://orca.cardiff.ac.uk/id/eprint/155516

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