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Gravitational-wave data analysis using binary black-hole waveforms

Ajith, P. (2008). Gravitational-wave data analysis using binary black-hole waveforms. Classical and Quantum Gravity, 25(11): 114033.

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Genre: Conference Paper

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cqg8_11_114033.pdf (Publisher version), 267KB
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Creators:
Ajith, P.1, Author
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1Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, Golm, DE, ou_24013

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Abstract: Coalescing binary black-hole systems are among the most promising sources of gravitational waves for ground-based interferometers. While the \emph{inspiral} and \emph{ring-down} stages of the binary black-hole coalescence are well-modelled by analytical approximation methods in general relativity, the recent progress in numerical relativity has enabled us to compute accurate waveforms from the \emph{merger} stage also. This has an important impact on the search for gravitational waves from binary black holes. In particular, while the current gravitational-wave searches look for each stage of the coalescence separately, combining the results from analytical and numerical relativity enables us to \emph{coherently} search for all three stages using a single template family. Complete' binary black-hole waveforms can now be produced by matching post-Newtonian waveforms with those computed by numerical relativity. These waveforms can be parametrised to produce analytical waveform templates. The complete' waveforms can also be used to estimate the efficiency of different search methods aiming to detect signals from black-hole coalescences. This paper summarises some recent efforts in this direction.

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Dates: 2008-06
Publication Status: Published in print
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Identifiers: DOI: 10.1088/0264-9381/25/11/114033
eDoc: 328166
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### Event

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Title: 18th International Conference on General Relativity & Gravitation
Place of Event: Sydney, Australia
Start-/End Date: 2007-07-08 - 2007-07-13

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### Source 1

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Title: Classical and Quantum Gravity
Source Genre: Journal
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Pages: - Volume / Issue: 25 (11) Sequence Number: 114033 Start / End Page: - Identifier: ISSN: 0264-9381