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Journal Article

The search for black hole binaries using a genetic algorithm

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

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CQG_26_20_204011.pdf
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Citation

Petiteau, A., Shang, Y., Babak, S., & Feroz, F. (2009). The search for black hole binaries using a genetic algorithm. Classical and quantum gravity, 26: 204011. doi:10.1088/0264-9381/26/20/204011.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0012-BC13-D
Abstract
In this work, we use a genetic algorithm to search for the gravitational wave signal from the inspiralling massive black hole binaries in the simulated Laser Interferometer Space Antenna (LISA) data. We consider a single signal in the Gaussian instrumental noise. This is a first step in preparation for analysis of the third round of the mock LISA data challenge. We have extended a genetic algorithm utilizing the properties of the signal and the detector response function. The performance of this method is comparable, if not better, to already existing algorithms.