Report on the second Mock LISA Data Challenge
arXiv:0711.2667 · doi:10.1088/0264-9381/25/11/114037
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.
8 pages, 2 EPS figures, proceedings of the 7th Amaldi Conference on Gravitational Waves, 8-14 July 2007, Sydney, Australia
Cited by in corpus (5)
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- Building a stochastic template bank for detecting massive black hole binaries
- A Constrained Metropolis-Hastings Search for EMRIs in the Mock LISA Data Challenge 1B
- A hierarchical search for gravitational waves from supermassive black hole binary mergers
- Search for a stochastic gravitational-wave signal in the second round of the Mock LISA Data Challenges