Improved search for galactic white dwarf binaries in Mock LISA Data Challenge 1B using an F-statistic template bank

Abstract

We report on our F-statistic search for white-dwarf binary signals in the Mock LISA Data Challenge 1B (MLDC1B). We focus in particular on the improvements in our search pipeline since MLDC1, namely refinements in the search pipeline and the use of a more accurate detector response (rigid adiabatic approximation). The search method employs a hierarchical template-grid based exploration of the parameter space, using a coincidence step to distinguish between primary (``true'') and secondary maxima, followed by a final (multi-TDI) ``zoom'' stage to provide an accurate parameter estimation of the final candidates.

11 pages, 4 included figures, submitted to Classical and Quantum Gravity for GWDAW12 proceedings

References in corpus (4)

• The Mock LISA Data Challenges: from Challenge 1B to Challenge 3
• Report on the second Mock LISA Data Challenge
• Report on the first round of the Mock LISA Data Challenges
• F-statistic search for white-dwarf binaries in the first Mock LISA Data Challenge

Cited by in corpus (5)

• The Mock LISA Data Challenges: from Challenge 1B to Challenge 3
• A LISA Data-Analysis Primer
• A hierarchical search for gravitational waves from supermassive black hole binary mergers
• A Bayesian approach to the study of white dwarf binaries in LISA data: The application of a reversible jump Markov chain Monte Carlo method
• Markov chain Monte Carlo searches for Galactic binaries in Mock LISA Data Challenge 1B data sets