The search for black hole binaries using a genetic algorithm

Abstract

In this work we use genetic algorithm to search for the gravitational wave signal from the inspiralling massive Black Hole binaries in the simulated 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.

11 pages, 4 figures, proceeding for GWDAW13 (Puerto Rico)

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• Report on the second Mock LISA Data Challenge
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Cited by in corpus (8)

• Exploring the Bayesian parameter estimation of binary black holes with LISA
• A Profile Likelihood Analysis of the Constrained MSSM with Genetic Algorithms
• GPU-accelerated massive black hole binary parameter estimation with LISA
• Black Hole Hunting with LISA
• The search for spinning black hole binaries in mock LISA data using a genetic algorithm
• Relativistic encounters in dense stellar systems
• A fully-automated end-to-end pipeline for massive black hole binary signal extraction from LISA data
• Evolutionary Computation in Astronomy and Astrophysics: A Review