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Conference Paper

The search for spinning black hole binaries using a genetic algorithm

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Petiteau,  Antoine
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

Yu,  Shang
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

Babak,  Stanislav
Astrophysical Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society;

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0905.1785v1.pdf
(Preprint), 171KB

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Citation

Petiteau, A., Yu, S., & Babak, S. (n.d.). The search for spinning black hole binaries using a genetic algorithm.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-4540-8
Abstract
We use a genetic algorithm to analyze the data from the third round of the mock LISA data challenge. These data consist of gaussian stationary instrumental noise, a Galactic background and four to six signals from the inspiralling spinning BHs in quasi-circular orbits. We present a particular implementation of the genetic algorithm which uses properties of the signal and the response function. We discuss the results of a preliminary search for a single signal in the instrumental noise.