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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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cqg8_11_114033.pdf (Verlagsversion), 267KB
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 Urheber:
Ajith, P.1, Autor
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1Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, Golm, DE, ou_24013              

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 Zusammenfassung: 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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 Datum: 2008-06
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1088/0264-9381/25/11/114033
eDoc: 328166
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Titel: 18th International Conference on General Relativity & Gravitation
Veranstaltungsort: Sydney, Australia
Start-/Enddatum: 2007-07-08 - 2007-07-13

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Titel: Classical and Quantum Gravity
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 25 (11) Artikelnummer: 114033 Start- / Endseite: - Identifikator: ISSN: 0264-9381