Report on the second Mock LISA Data Challenge
Stanislav Babak, John G. Baker, Matthew J. Benacquista, Neil J., Cornish, Jeff Crowder, Curt Cutler, Shane L. Larson, Tyson B. Littenberg,, Edward K. Porter, Michele Vallisneri, Alberto Vecchio (the Mock LISA Data, Challenge task force), Gerard Auger, Leor Barack
TL;DR
The paper reports on the second Mock LISA Data Challenge, demonstrating the effectiveness of data analysis methods in detecting and characterizing gravitational-wave signals from various sources in simulated LISA data.
Contribution
It presents the results of Challenge 2, showcasing successful recovery of signals from multiple complex gravitational-wave sources in simulated data.
Findings
Successful detection of supermassive black-hole binary signals
Recovery of signals from overlapping Galactic white-dwarf binaries
Identification of extreme-mass-ratio inspirals
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 several data sets containing simulated instrument noise and gravitational-wave sources of undisclosed parameters. Participants are asked to analyze the data sets and report the maximum information about source parameters. The challenges are being released in rounds of increasing complexity and realism: in this proceeding we present the results of Challenge 2, issued in January 2007, which successfully demonstrated the recovery of signals from supermassive black-hole binaries, from ~20,000 overlapping Galactic white-dwarf binaries, and from the extreme-mass-ratio inspirals of compact objects into central galactic black holes.
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