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

Babak, Stanislav; Baker, John G.; Benacquista, Matthew J.; Cornish, Neil J.; Larson, Shane L.; Mandel, Ilya; McWilliams, Sean T.; Petiteau, Antoine; Porter, Edward K.; Robinson, Emma L.; Vallisneri, Michele; Vecchio, Alberto; Adams, Matt; Arnaud, Keith A.; Błaut, Arkadiusz; Bridges, Michael; Cohen, Michael; Cutler, Curt; Feroz, Farhan; Gair, Jonathan R.; Graff, Philip; Hobson, Mike; Key, Joey Shapiro; Krolak, Andrzej; Lasenby, Anthony; Prix, Reinhard; Shang, Yu; Trias, Miquel; Veitch, John; Whelan, John T.

doi:10.1088/0264-9381/27/8/084009

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

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Babak, Stanislav
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

Petiteau, Antoine
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

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Robinson, Emma L.
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

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Krolak, Andrzej
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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Prix, Reinhard
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

Shang, Yu
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

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Whelan, John T.
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

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0912.0548
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CQG_27_8_084009.pdf
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Citation

Babak, S., Baker, J. G., Benacquista, M. J., Cornish, N. J., Larson, S. L., Mandel, I., et al. (2010). The Mock LISA Data Challenges: from Challenge 3 to Challenge 4. Classical and quantum gravity, 27(8): 084009. doi:10.1088/0264-9381/27/8/084009.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0012-BBC9-E

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 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.