The Mock LISA Data Challenges: from Challenge 3 to Challenge 4
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.
Cite
@article{arxiv.0912.0548,
title = {The Mock LISA Data Challenges: from Challenge 3 to Challenge 4},
author = {Stanislav Babak and John G. Baker and Matthew J. Benacquista and Neil J. Cornish and Shane L. Larson and Ilya Mandel and Sean T. McWilliams and Antoine Petiteau and Edward K. Porter and Emma L. Robinson and Michele Vallisneri and Alberto Vecchio and Matt Adams and Keith A. Arnaud and Arkadiusz Błaut and Michael Bridges and Michael Cohen and Curt Cutler and Farhan Feroz and Jonathan R. Gair and Philip Graff and Mike Hobson and Joey Shapiro Key and Andrzej Królak and Anthony Lasenby and Reinhard Prix and Yu Shang and Miquel Trias and John Veitch and John T. Whelan},
journal= {arXiv preprint arXiv:0912.0548},
year = {2010}
}
Comments
12 pages, 2 figures, proceedings of the 8th Edoardo Amaldi Conference on Gravitational Waves, New York, June 21-26, 2009