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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• The Mock LISA Data Challenges: from Challenge 1B to Challenge 3
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• Search for Gravitational Waves Associated with Gamma-Ray Bursts Detected by Fermi and Swift During the LIGO-Virgo Run O3b
• A LISA Data-Analysis Primer
• First gravitational-wave search for intermediate-mass black hole mergers with higher order harmonics
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• Efficient Stochastic Template Bank using Inner Product Inequalities
• Markov chain Monte Carlo searches for Galactic binaries in Mock LISA Data Challenge 1B data sets
• Accelerating Bayesian Sampling for Massive Black Hole Binaries with Prior Constraints from Conditional Variational Autoencoder
• Search for sub-solar primordial black holes in low mass ratio binaries with LIGO-Virgo O2 data and implications for the primordial black hole dark matter fraction