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The Mock LISA data challenges: from challenge 1B to challenge 3

Babak, Stanislav and Baker, John G. and Benacquista, Matthew J. and Cornish, Neil J. and Crowder, Jeff and Larson, Shane L. and Plagnol, Eric and Porter, Edward K. and Vallisneri, Michele and Vecchio, Alberto and Arnaud, Keith and Barack, Leor and Blaut, Arkadiusz and Cutler, Curt and Fairhurst, Stephen and Gair, Jonathan and Gong, Xuefei and Harry, Ian and Khurana, Deepak and Krolak, Andrzej and Mandel, Ilya and Prix, Reinhard and Sathyaprakash, B. S. and Savov, Pavlin and Shang, Yu and Trias, Miquel and Veitch, John and Wang, Yan and Wen, Linqing and Whelan, John T. (2008) The Mock LISA data challenges: from challenge 1B to challenge 3. Classical and Quantum Gravity, 25 (18). p. 184026. ISSN 0264-9381. doi:10.1088/0264-9381/25/18/184026.

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The Mock LISA Data Challenges are a programme to demonstrate and encourage the development of LISA data-analysis capabilities, tools and techniques. At the time of this workshop, three rounds of challenges had been completed, and the next was about to start. In this paper we provide a critical analysis of the entries to the latest completed round, Challenge 1B. The entries confirm the consolidation of a range of data-analysis techniques for galactic and massive-black-hole binaries, and they include the first convincing examples of detection and parameter estimation of extreme-mass-ratio inspiral sources. In this paper we also introduce the next round, Challenge 3. Its data sets feature more realistic waveform models (e.g., galactic binaries may now chirp, and massive-black-hole binaries may precess due to spin interactions), as well as new source classes (bursts from cosmic strings, isotropic stochastic backgrounds) and more complicated nonsymmetric instrument noise.

Item Type:Article
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URLURL TypeDescription
Vallisneri, Michele0000-0002-4162-0033
Vecchio, Alberto0000-0002-6254-1617
Mandel, Ilya0000-0002-6134-8946
Additional Information:© 2008. Received 21 April 2008, in final form 11 June 2008. Published 2 September 2008. SB and EP were supported by the Deutsches Zentrum für Luft-und Raumfahrt; LW’s work by the Alexander von Humboldt Foundation’s Sofja Kovalevskaja Programme funded by the German Federal Ministry of Education and Research. JG thanks the Royal Society for support and the Albert Einstein Institute for hospitality and support while part of this work was being completed. SF was supported by the Royal Society, BSS and IH by the UK Science and Technology Facilities Council. MV was supported by the LISA Mission Science Office andby JPL’s HRDF. CC’s, JC’s and MV’s work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. MTacknowledges support from the Spanish Ministerio de Educacion y Ciencia Research projects FPA-2007-60220, CSD207-00042 and the Govern de les Illes Balears, Conselleria d’Economia, Hisenda i Innovaciό. IM was partially supported by NASA ATP grant NNX07AH22G to Northwestern University. PACS numbers: 04.80.Nn, 95.55.Ym
Funding AgencyGrant Number
Spanish Ministerio de Educacion y CienciaFPA-2007-60220
Spanish Ministerio de Educacion y CienciaCSD207-00042
Govern de les Illes Balears, Conselleria d’Economia, Hisenda i InnovaciόUNSPECIFIED
Issue or Number:18
Record Number:CaltechAUTHORS:BABcqg08b
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:13439
Deposited On:21 May 2009 21:08
Last Modified:12 Jul 2022 19:46

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