A Constrained Metropolis-Hastings Search for EMRIs in the Mock LISA Data Challenge 1B

Details A Constrained Metropolis-Hastings Search for EMRIs in the Mock LISA Data Challenge 1B A Constrained Metropolis-Hastings Search for EMRIs in the Mock LISA Data Challenge 1B

2008-04-21

arxiv.org/abs/0804.3322v2

Class.Quant.Grav.25:184030,2008

Astronomy and Astrophysics

Astrophysics

General Relativity and Quantum Cosmology

13 pages, 3 figures, to be published in proceedings of the 12th Gravitational Wave Data Analysis Workshop; v2 has minor change

Scientific paper

10.1088/0264-9381/25/18/184030

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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