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The Mock LISA Data Challenges: from Challenge 3 to Challenge 4

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arxiv 0912.0548 v2 pith:TWWS2MU5 submitted 2009-12-02 gr-qc

Stanislav Babak , John G. Baker , Matthew J. Benacquista , Neil J. Cornish , Shane L. Larson , Ilya Mandel , Sean T. McWilliams , Antoine Petiteau
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Edward K. Porter Emma L. Robinson Michele Vallisneri Alberto Vecchio (the Mock LISA Data Challenge Task Force) Matt Adams Keith A. Arnaud Arkadiusz B{l}aut Michael Bridges Michael Cohen Curt Cutler Farhan Feroz Jonathan R. Gair Philip Graff Mike Hobson Joey Shapiro Key Andrzej Królak Anthony Lasenby Reinhard Prix Yu Shang Miquel Trias John Veitch John T. Whelan (the MLDC 3 participants)
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keywords lisachallengechallengessnrsbinariesdatadatasetsinstrument
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The Mock LISA Data Challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of one or more datasets containing simulated instrument noise and gravitational waves from sources of undisclosed parameters. Participants analyze the datasets and report best-fit solutions for the source parameters. Here we present the results of the third challenge, issued in Apr 2008, which demonstrated the positive recovery of signals from chirping Galactic binaries, from spinning supermassive--black-hole binaries (with optimal SNRs between ~ 10 and 2000), from simultaneous extreme-mass-ratio inspirals (SNRs of 10-50), from cosmic-string-cusp bursts (SNRs of 10-100), and from a relatively loud isotropic background with Omega_gw(f) ~ 10^-11, slightly below the LISA instrument noise.

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Cited by 5 Pith papers

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