Report on the first round of the Mock LISA Data Challenges

Abstract

The Mock LISA Data Challenges (MLDCs) have the dual purpose of fostering the development of LISA data analysis tools and capabilities, and demonstrating the technical readiness already achieved by the gravitational-wave community in distilling a rich science payoff from the LISA data output. The first round of MLDCs has just been completed: nine data sets containing simulated gravitational wave signals produced either by galactic binaries or massive black hole binaries embedded in simulated LISA instrumental noise were released in June 2006 with deadline for submission of results at the beginning of December 2006. Ten groups have participated in this first round of challenges. Here we describe the challenges, summarise the results, and provide a first critical assessment of the entries.

Proceedings report from GWDAW 11. Added author, added reference, clarified some text, removed typos. Results unchanged; Removed author, minor edits, reflects submitted version

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Cited by in corpus (22)

• The Mock LISA Data Challenges: from Challenge 3 to Challenge 4
• The Mock LISA Data Challenges: from Challenge 1B to Challenge 3
• The Galactic Gravitational wave foreground
• Report on the second Mock LISA Data Challenge
• An algorithm for detection of extreme mass ratio inspirals in LISA data
• F-statistic search for white-dwarf binaries in the first Mock LISA Data Challenge
• Extracting galactic binary signals from the first round of Mock LISA Data Challenges
• A LISA Data-Analysis Primer
• A Three-Stage Search for Supermassive Black Hole Binaries in LISA Data
• Identification of Gravitational-waves from Extreme Mass Ratio Inspirals
• Improved search for galactic white dwarf binaries in Mock LISA Data Challenge 1B using an F-statistic template bank
• A hierarchical search for gravitational waves from supermassive black hole binary mergers
• Non-Gaussianity test for discriminating gravitational wave backgrounds around 0.1-1Hz
• An implementation of Galactic white dwarf binary data analysis for MLDC-3.1
• The LISA Data Challenge Radler Analysis and Time-dependent Ultra-compact Binary Catalogues
• Search for a stochastic gravitational-wave signal in the second round of the Mock LISA Data Challenges
• GWSpace: a multi-mission science data simulator for space-based gravitational wave detection
• A Bayesian approach to the study of white dwarf binaries in LISA data: The application of a reversible jump Markov chain Monte Carlo method
• Computational Techniques for Parameter Estimation of Gravitational Wave Signals
• Extracting overlapping gravitational-wave signals of galactic compact binaries: a mini review
• Accelerating the time-domain LISA response model with central finite differences and hybridization techniques
• Constructing a gravitational wave analysis pipeline for extremely large mass ratio inspirals