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Report on the second Mock LISA Data Challenge
Stanislav Babak, John G. Baker, Matthew J. Benacquista +40
The Mock LISA Data Challenges are a program to demonstrate LISA data-analysis capabilities and to encourage their development. Each round of challenges consists of several data set…
Inference on inspiral signals using LISA MLDC data
Christian Röver, Alexander Stroeer, Ed Bloomer +11
In this paper we describe a Bayesian inference framework for analysis of data obtained by LISA. We set up a model for binary inspiral signals as defined for the Mock LISA Data Chal…
Inference on white dwarf binary systems using the first round Mock LISA Data Challenges data sets
Alexander Stroeer, John Veitch, Christian Roever +11
We report on the analysis of selected single source data sets from the first round of the Mock LISA Data Challenges (MLDC) for white dwarf binaries. We implemented an end-to-end pi…
Report on the first round of the Mock LISA Data Challenges
K. A. Arnaud, G. Auger, S. Babak +42
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 alr…