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  An algorithm for detection of extreme mass ratio inspirals in LISA data

Babak, S., Gair, J. R., & Porter, E. K. (2009). An algorithm for detection of extreme mass ratio inspirals in LISA data. Classical and quantum gravity, 26: 135004. doi:10.1088/0264-9381/26/13/135004.

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0902.4133 (Preprint), 2MB
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0902.4133
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File downloaded from arXiv at 2010-06-11 11:15
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 Creators:
Babak, Stanislav1, Author           
Gair, Jonathan R., Author
Porter, Edward K., Author
Affiliations:
1Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_24013              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc,Astrophysics, Cosmology and Extragalactic Astrophysics, astro-ph.CO
 Abstract: The gravitational wave signal from a compact object spiralling toward a massive black hole (MBH) is thought to be one of the most difficult sources to detect in the LISA data stream. Due to the large parameter space of possible signals and many orbital cycles spent in the sensitivity band of LISA, it has been estimated previously that of the order of 10^{35} templates would be required for a fully coherent search with a template grid, which is computationally impossible. Here we describe an algorithm based on a constrained Metropolis-Hastings stochastic search which allows us to find and accurately estimate parameters of isolated EMRI signals buried in Gaussian instrumental noise. We illustrate the effectiveness of the algorithm with results from searches of the Mock LISA Data Challenge round 1B data sets.

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 Dates: 2009-02-242009
 Publication Status: Issued
 Pages: 14 pages, 4 figures
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 Table of Contents: -
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Title: Classical and quantum gravity
Source Genre: Journal
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Publ. Info: Bristol, U.K. : Institute of Physics
Pages: - Volume / Issue: 26 Sequence Number: 135004 Start / End Page: - Identifier: Other: 954925513480
Other: 0264-9381