A hierarchical search for gravitational waves from supermassive black hole binary mergers

Abstract

We present a method to search for gravitational waves from coalescing supermassive binary black holes in LISA data. The search utilizes the $\mathcal{F}$-statistic to maximize over, and determine the values of, the extrinsic parameters of the binary system. The intrinsic parameters are searched over hierarchically using stochastically generated multi-dimensional template banks to recover the masses and sky locations of the binary. We present the results of this method applied to the mock LISA data Challenge 1B data set.

11 pages, 2 figures, for GWDAW-12 proceedings edition of CQG

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Cited by in corpus (2)

• Building a stochastic template bank for detecting massive black hole binaries
• Markov chain Monte Carlo searches for Galactic binaries in Mock LISA Data Challenge 1B data sets