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Detecting extreme mass ratio inspirals with LISA using time–frequency methods

Wen, Linqing and Gair, Jonathan R. (2005) Detecting extreme mass ratio inspirals with LISA using time–frequency methods. Classical and Quantum Gravity, 22 (10). S445-S451. ISSN 0264-9381. http://resolver.caltech.edu/CaltechAUTHORS:WENcqg05

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Abstract

The inspirals of stellar-mass compact objects into supermassive black holes are some of the most important sources for LISA. Detection techniques based on fully coherent matched filtering have been shown to be computationally intractable. We describe an efficient and robust detection method that utilizes the time–frequency evolution of such systems. We show that a typical extreme mass ratio inspiral (EMRI) source could possibly be detected at distances of up to ~2 Gpc, which would mean ~tens of EMRI sources can be detected per year using this technique. We discuss the feasibility of using this method as a first step in a hierarchical search.


Item Type:Article
Additional Information:© IOP Publishing Limited 2006. Received 1 November 2004, in final form 4 February 2005. Published 28 April 2005. Print publication: Issue 10 (21 May 2005) We thank Curt Cutler, Teviet Creighton and Kip Thorne for critical discussions of this work, and Leor Barack for useful discussions and careful reading of the manuscript. LW thanks Max Planck Institut fuer Gravitationsphysik (Albert Einstein Institut) for support of this work. This work was supported in part by NASA grants NAG5-12384 and NAG5-10707 (JG). Proceedings of the 5th International LISA Symposium, ESTEC, Noordwijk, The Netherlands, 12-15 July 2004. Classical and Quantum Gravity Volume 22, Number 10, 21 May 2005
Record Number:CaltechAUTHORS:WENcqg05
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:WENcqg05
Alternative URL:http://dx.doi.org/10.1088/0264-9381/22/10/041
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:6148
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:27 Nov 2006
Last Modified:25 Feb 2014 23:12

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