The Mock LISA Data Challenges: from Challenge 1B to Challenge 3

Abstract

The Mock LISA Data Challenges are a programme to demonstrate and encourage the development of LISA data-analysis capabilities, tools and techniques. At the time of this workshop, three rounds of challenges had been completed, and the next was about to start. In this article we provide a critical analysis of entries to the latest completed round, Challenge 1B. The entries confirm the consolidation of a range of data-analysis techniques for Galactic and massive--black-hole binaries, and they include the first convincing examples of detection and parameter estimation of extreme--mass-ratio inspiral sources. In this article we also introduce the next round, Challenge 3. Its data sets feature more realistic waveform models (e.g., Galactic binaries may now chirp, and massive--black-hole binaries may precess due to spin interactions), as well as new source classes (bursts from cosmic strings, isotropic stochastic backgrounds) and more complicated nonsymmetric instrument noise.

20 pages, 3 EPS figures. Proceedings of the 12th Gravitational Wave Data Analysis Workshop, Cambridge MA, 13--16 December 2007. Typos corrected

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• An algorithm for detection of extreme mass ratio inspirals in LISA data
• A Constrained Metropolis-Hastings Search for EMRIs in the Mock LISA Data Challenge 1B
• A LISA Data-Analysis Primer
• 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
• Delayed rejection schemes for efficient Markov-Chain Monte-Carlo sampling of multimodal distributions
• Markov chain Monte Carlo searches for Galactic binaries in Mock LISA Data Challenge 1B data sets