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  A constrained Metropolis-Hastings search for EMRIs in the Mock LISA Data Challenge 1B

Gair, J. R., Porter, E., Babak, S., & Barack, L. (2008). A constrained Metropolis-Hastings search for EMRIs in the Mock LISA Data Challenge 1B. Classical and Quantum Gravity, 25(18): 184030. doi:10.1088/0264-9381/25/18/184030.

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Gair, Jonathan R.1, Author
Porter, Edward1, Author
Babak, Stanislav2, Author
Barack, Leor1, Author
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1External Organizations, ou_persistent22              
2Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, Golm, DE, ou_24013              

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 Abstract: We describe a search for the extreme-mass-ratio inspiral sources in the Round 1B Mock LISA Data Challenge data sets. The search algorithm is a Monte Carlo search based on the Metropolis–Hastings algorithm, but also incorporates simulated, thermostated and time annealing, plus a harmonic identification stage designed to reduce the chance of the chain locking onto secondary maxima. In this paper, we focus on describing the algorithm that we have been developing. We give the results of the search of the Round 1B data, although parameter recovery has improved since that deadline. Finally, we describe several modifications to the search pipeline that we are currently investigating for incorporation in future searches.

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 Dates: 2008-09-212008
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1088/0264-9381/25/18/184030
eDoc: 398700
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Title: 12th Gravitational Wave Data Analysis Workshop
Place of Event: Cambridge, MA
Start-/End Date: 2007-12-13 - 2007-12-16

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Title: Classical and Quantum Gravity
Source Genre: Journal
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Pages: - Volume / Issue: 25 (18) Sequence Number: 184030 Start / End Page: - Identifier: ISSN: 0264-9381