Investigating binary black hole mergers with principal component analysis

Clark, J., Cadonati, L., Healy, J., Heng, I. S., Logue, J., Mangini, N., London, Lionel ORCID: https://orcid.org/0000-0001-8239-4370, Pekowsky, L. and Shoemaker, D. 2015. Investigating binary black hole mergers with principal component analysis. Sopuerta, Carlos F., ed. Gravitational Wave Astrophysics, Vol. 40. Astrophysics and Space Science Proceedings, Springer, pp. 281-287. (10.1007/978-3-319-10488-1_24)

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Abstract

Despite recent progress in numerical simulations of the coalescence of binary black hole systems, highly asymmetric spinning systems and the construction of accurate physical templates remain challenging and computationally expensive. We explore the feasibility of a prompt and robust test of whether the signals exhibit evidence for generic features that can educate new simulations. We form catalogs of numerical relativity waveforms with distinct physical effects and compute the relative probability that a gravitational wave signal belongs to each catalog. We introduce an algorithm designed to perform this task for coalescence signals using principal component analysis of waveform catalogs and Bayesian model selection and demonstrate its effectiveness.

Item Type:	Book Section
Status:	Published
Schools:	Physics and Astronomy
Subjects:	Q Science > QB Astronomy
Publisher:	Springer
ISBN:	9783319104874
ISSN:	15706591
Last Modified:	01 Nov 2022 10:12
URI:	https://orca.cardiff.ac.uk/id/eprint/90656

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