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.
Cite
@article{arxiv.0806.2110,
title = {The Mock LISA Data Challenges: from Challenge 1B to Challenge 3},
author = {Stanislav Babak and John G. Baker and Matthew J. Benacquista and Neil J. Cornish and Jeff Crowder and Shane L. Larson and Eric Plagnol and Edward K. Porter and Michele Vallisneri and Alberto Vecchio and Keith Arnaud and Leor Barack and Arkadiusz Błaut and Curt Cutler and Stephen Fairhurst and Jonathan Gair and Xuefei Gong and Ian Harry and Deepak Khurana and Andrzej Królak and Ilya Mandel and Reinhard Prix and B. S. Sathyaprakash and Pavlin Savov and Yu Shang and Miquel Trias and John Veitch and Yan Wang and Linqing Wen and John T. Whelan},
journal= {arXiv preprint arXiv:0806.2110},
year = {2009}
}
Comments
20 pages, 3 EPS figures. Proceedings of the 12th Gravitational Wave Data Analysis Workshop, Cambridge MA, 13--16 December 2007. Typos corrected