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arxiv: gr-qc/0701170 · v4 · submitted 2007-01-30 · 🌀 gr-qc

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

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classification 🌀 gr-qc
keywords datalisamldcsroundsetschallengesdata-analysismock
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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.

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  1. Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets

    astro-ph.IM 2026-05 conditional novelty 6.0

    Inpainting allows recovery of pre-merger massive black hole binary signals in LISA data despite gaps and overlaps.