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Cosmic Swarms: A search for Supermassive Black Holes in the LISA data stream with a Hybrid Evolutionary Algorithm

J.R. Gair 1 E.K. Porter 2
2 APC-Gravitation - APC - Gravitation
APC (UMR_7164) - AstroParticule et Cosmologie, AEI - Max-Planck-Institut für Gravitationsphysik ( Albert-Einstein-Institut )
Abstract : We describe a hybrid evolutionary algorithm that can simultaneously search for multiple supermassive black hole binary (SMBHB) inspirals in LISA data. The algorithm mixes evolutionary computation, Metropolis-Hastings methods and Nested Sampling. The inspiral of SMBHBs presents an interesting problem for gravitational wave data analysis since, due to the LISA response function, the sources have a bi-modal sky solution. We show here that it is possible not only to detect multiple SMBHBs in the data stream, but also to investigate simultaneously all the various modes of the global solution. In all cases, the algorithm returns parameter determinations within $5\sigma$ (as estimated from the Fisher Matrix) of the true answer, for both the actual and antipodal sky solutions.
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http://hal.in2p3.fr/in2p3-00376964
Contributor : Simone Lantz <>
Submitted on : Tuesday, April 21, 2009 - 10:23:09 AM
Last modification on : Wednesday, October 21, 2020 - 4:32:13 PM

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J.R. Gair, E.K. Porter. Cosmic Swarms: A search for Supermassive Black Holes in the LISA data stream with a Hybrid Evolutionary Algorithm. Classical and Quantum Gravity, IOP Publishing, 2009, 26, pp.225004. ⟨10.1088/0264-9381/26/22/225004⟩. ⟨in2p3-00376964⟩

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