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A constrained metropolis-hastings search for EMRIs in the mock LISA data challenge 1B

Record type: Article

We describe a search for the EMRI 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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Citation

Gair, Jonathan, Porter, Edward, Babak, Stanislav and Barack, Leor (2008) A constrained metropolis-hastings search for EMRIs in the mock LISA data challenge 1B Classical and Quantum Gravity, 25, p. 184030.

More information

Accepted/In Press date: 17 July 2008
Published date: 2008
Venue - Dates: 12th Gravitational Wave Data Analysis Workshop, 2007-12-13 - 2007-12-16

Identifiers

Local EPrints ID: 54080
URI: http://eprints.soton.ac.uk/id/eprint/54080
ISSN: 0264-9381
PURE UUID: 524fb0f7-6d1e-4562-9ee1-abe09cec0f99

Catalogue record

Date deposited: 04 Aug 2008
Last modified: 17 Jul 2017 14:36

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Contributors

Author: Jonathan Gair
Author: Edward Porter
Author: Stanislav Babak
Author: Leor Barack

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