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Published September 2, 2008 | public
Journal Article

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

Abstract

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.

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

Additional details

Created:
August 22, 2023
Modified:
October 17, 2023