The mock LISA data challenges: From challenge 1B to challenge 3

Stanislav Babak*, John G. Baker, Matthew J. Benacquista, Neil J. Cornish, Jeff Crowder, Shane L. Larson, Eric Plagnol, Edward K. Porter, Michele Vallisneri, Alberto Vecchio, Keith Arnaud, Leor Barack, Arkadiusz Błaut, Curt Cutler, Stephen Fairhurst, Jonathan Gair, Xuefei Gong, Ian Harry, Deepak Khurana, Andrzej KrólakIlya Mandel, Reinhard Prix, B. S. Sathyaprakash, Pavlin Savov, Yu Shang, Miquel Trias, John Veitch, Yan Wang, Linqing Wen, John T Whelan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

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.

Original languageEnglish (US)
Article number184026
JournalClassical and Quantum Gravity
Volume25
Issue number18
DOIs
StatePublished - Sep 21 2008

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)

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