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

Gair, Jonathan R.; Porter, Edward; Babak, Stanislav; Barack, Leor

doi:10.1088/0264-9381/25/18/184030

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

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

MPS-Authors

Babak, Stanislav
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

cqg8_18_184030.pdf
(Publisher version), 369KB

Supplementary Material (public)

There is no public supplementary material available

Citation

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.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-1402-8

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.