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Detection and parameter estimation of gravitational waves from compact binary inspirals with analytical double-precessing templates

Chatziioannou, Katerina and Cornish, Neil and Klein, Antoine and Yunes, Nicolás (2014) Detection and parameter estimation of gravitational waves from compact binary inspirals with analytical double-precessing templates. Physical Review D, 89 (10). Art. No. 104023. ISSN 1550-7998. doi:10.1103/physrevd.89.104023.

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We study the performance of various analytical frequency-domain templates for detection and parameter estimation of gravitational waves from spin-precessing, quasicircular, compact binary inspirals. We begin by assessing the extent to which nonspinning, spin-aligned, and the new (analytical, frequency-domain, small-spin) double-precessing frequency-domain templates can be used to detect signals from such systems. For effective, dimensionless spin values above 0.2, the use of nonspinning or spin-aligned templates for detection purposes will result in a loss of up to 30% of all events, while in the case of the double-precessing model, this never exceeds 6%. Moreover, even for signals from systems with small spins, nonspinning and spin-aligned templates introduce large biases in the extracted masses and spins. The use of a model that encodes spin-induced precession effects, such as the double-precessing model, improves the mass and spin extraction by up to an order of magnitude. The additional information encoded in the spin-orbit interaction is invaluable if one wishes to extract the maximum amount of information from gravitational wave signals.

Item Type:Article
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URLURL TypeDescription Paper
Chatziioannou, Katerina0000-0002-5833-413X
Cornish, Neil0000-0002-7435-0869
Yunes, Nicolás0000-0001-6147-1736
Additional Information:© 2014 American Physical Society. Received 10 April 2014; published 13 May 2014. We would like to thank Laura Sampson for many helpful discussions. We thank Thomas Dent, Mark Hannam, Richard O’Shaughnessy, and Evan Ochsner for comments and suggestions. K. C. acknowledges support from the Onassis Foundation. N. Y. acknowledges support from NSF Grant No. PHY-1114374, NSF CAREER Grant No. PHY-1250636 and NASA Grant No. NNX11AI49 G. A. K. and N. C. acknowledge support from the NSF Award PHY-1306702 and NASA Grant No. NNX10AH15G.
Funding AgencyGrant Number
Onassis FoundationUNSPECIFIED
Issue or Number:10
Classification Code:PACS numbers: 04.30.-w, 04.80.Nn, 04.30.Tv
Record Number:CaltechAUTHORS:20200804-121239783
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:104726
Deposited By: Tony Diaz
Deposited On:05 Aug 2020 19:40
Last Modified:16 Nov 2021 18:34

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