The Mock LISA Data Challenges: From challenge 3 to challenge 4

Stanislav Babak*, John G. Baker, Matthew J. Benacquista, Neil J. Cornish, Shane L. Larson, Ilya Mandel, Sean T. McWilliams, 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. GairPhilip Graff, Mike Hobson, Joey Shapiro Key, Andrzej Królak, Anthony Lasenby, Reinhard Prix, Yu Shang, Miquel Trias, John Veitch, John T. Whelan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

50 Scopus citations

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.

Original languageEnglish (US)
Article number084009
JournalClassical and Quantum Gravity
Volume27
Issue number8
DOIs
StatePublished - 2010

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)

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