An overview of the second round of the Mock LISA Data Challenges

Arnaud, Keith A.; Babak, Stanislav; Baker, John G.; Benacquista, Matthew J.; Cornish, Neil J.; Cutler, Curt; Larson, Shane L.; Sathyaprakash, B. S.; Vallisneri, Michele; Vecchio, Alberto; Vinet, Jean-Yves; Finn, Lee S.; Littenberg, Tyson B.; Porter, Edward

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

An overview of the second round of the Mock LISA Data Challenges

MPS-Authors

/persons/resource/persons20655

Babak, Stanislav
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

0701170v3.pdf
(Preprint), 659KB

cqg7_19_s18.pdf
(Publisher version), 593KB

Supplementary Material (public)

There is no public supplementary material available

Citation

Arnaud, K. A., Babak, S., Baker, J. G., Benacquista, M. J., Cornish, N. J., Cutler, C., et al. (2007). An overview of the second round of the Mock LISA Data Challenges. Classical and Quantum Gravity, 24(19), S551-S564.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-4937-7

Abstract

The Mock Data Challenges (MLDCs) have the dual purpose of fostering the development of LISA data-analysis tools and capabilities and of demonstrating the technical readiness already achieved by the gravitational-wave community in distilling a rich science payoff from the LISA data. The first round of MLDCs has just been completed and the second-round data sets are being released shortly after this workshop. The second-round data sets contain radiation from an entire Galactic population of stellar-mass binary systems, from massive--black-hole binaries, and from extreme--mass-ratio inspirals. These data sets are designed to capture much of the complexity that is expected in the actual LISA data, and should provide a fairly realistic setting to test advanced data-analysis techniques, and in particular the global aspect of the analysis. Here we describe the second round of MLDCs and provide details about its implementation.