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Optimal filtering of the LISA data

Królak, Andrzej and Tinto, Massimo and Vallisneri, Michele (2004) Optimal filtering of the LISA data. Physical Review D, 70 (2). Art. No. 022003. ISSN 2470-0010.

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The LISA time-delay-interferometry responses to a gravitational wave signal are rewritten in a form that accounts for the motion of the LISA constellation around the Sun; the responses are given in closed analytic forms valid for any frequency in the band accessible to LISA. We then present a complete procedure, based on the principle of maximum likelihood, to search for stellar-mass binary systems in the LISA data. We define the required optimal filters, the amplitude-maximized detection statistic (analogous to the Ƒ statistic used in pulsar searches with ground-based interferometers), and discuss the false-alarm and detection probabilities. We then test the procedure in numerical simulations of gravitational-wave detection.

Item Type:Article
Related URLs:
URLURL TypeDescription Paper
Tinto, Massimo0000-0002-8107-5148
Vallisneri, Michele0000-0002-4162-0033
Additional Information:© 2004 American Physical Society. (Received 19 January 2004; published 26 July 2004) A.K. acknowledges support from the National Research Council at the Jet Propulsion Laboratory, Caltech. M.V.’s research was supported by the LISA Mission Science Office at the Jet Propulsion Laboratory, Caltech. This research was performed at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.
Errata:Erratum: Optimal filtering of the LISA data [Phys. Rev. D 70, 022003 (2004)] Andrzej Królak, Massimo Tinto, and Michele Vallisneri Phys. Rev. D 76, 069901
Funding AgencyGrant Number
National Research CouncilUNSPECIFIED
Issue or Number:2
Classification Code: PACS number~s!: 95.55.Ym, 04.80.Nn, 95.75.Pq, 97.60.Gb
Record Number:CaltechAUTHORS:20170408-164051256
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:76231
Deposited By: 1Science Import
Deposited On:08 Mar 2018 23:19
Last Modified:09 Mar 2020 13:19

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