Exploring the use of numerical relativity waveforms in burst analysis of precessing black hole mergers

Fischetti, Sebastian, Healy, James, Cadonati, Laura, London, Lionel ORCID: https://orcid.org/0000-0001-8239-4370, Mohapatra, Satyanarayan R. P. and Shoemaker, Deirdre 2011. Exploring the use of numerical relativity waveforms in burst analysis of precessing black hole mergers. Physical Review D 83 (4) 10.1103/PhysRevD.83.044019

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Abstract

Recent years have witnessed tremendous progress in numerical relativity and an ever improving performance of ground-based interferometric gravitational wave detectors. In preparation for the Advanced Laser Interferometer Gravitational Wave Observatory (Advanced LIGO) and a new era in gravitational wave astronomy, the numerical relativity and gravitational wave data analysis communities are collaborating to ascertain the most useful role for numerical relativity waveforms in the detection and characterization of binary black hole coalescences. In this paper, we explore the detectability of equal mass, merging black hole binaries with precessing spins and total mass MT∈[80,350]M⊙, using numerical relativity waveforms and templateless search algorithms designed for gravitational wave bursts. In particular, we present a systematic study using waveforms produced by the MayaKranc code that are added to colored, Gaussian noise and analyzed with the Omega burst search algorithm. Detection efficiency is weighed against the orientation of one of the black-hole’s spin axes. We find a strong correlation between the detection efficiency and the radiated energy and angular momentum, and that the inclusion of the ℓ=2, m=±1, 0 modes, at a minimum, is necessary to account for the full dynamics of precessing systems.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Physics and Astronomy
Subjects:	Q Science > QB Astronomy Q Science > QC Physics
Publisher:	American Physical Society
ISSN:	1550-7998
Last Modified:	01 Nov 2022 10:12
URI:	https://orca.cardiff.ac.uk/id/eprint/90660

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