Jonathan R Gair et al 2008 Class. Quantum Grav. 25 184030 doi:10.1088/0264-9381/25/18/184030
Jonathan R Gair1, Edward Porter2, Stanislav Babak2 and Leor Barack3
Show affiliationsWe 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.
04.80.Nn Gravitational wave detectors and experiments
Issue 18 (21 September 2008)
Received 2 April 2008, in final form 8 June 2008
Published 2 September 2008
Jonathan R Gair et al 2008 Class. Quantum Grav. 25 184030
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