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The Mock LISA Data Challenges: from Challenge 3 to Challenge 4
By Stanislav Babak John G. Baker Matthew J. Benacquista Neil J. Cornish Shane L. Larson Ilya Mandel Antoine Petiteau Edward K. Porter Emma L. Robinson Michele Vallisneri Alberto Vecchio Matt Adams Keith A. Arnaud Arkadiusz Błaut 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
Published in Classical and Quantum Gravity 27, 084009 (Monday, April 5, 2010)

Abstract

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 April 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 Ωgw(f) ~ 10−11, slightly below the LISA instrument noise.

CCRG Authors

Whelan, John T.