LIGO Document P1600111-v1

Parameterization of BayesWave for Analysis of Gravitational Waves Caused by Inspiraling Black Holes

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Gravitational waves are ripples in the fabric of spacetime caused by large gravitational events. LIGO was built to detect gravitational wave signals. By analyzing these signals, it is possible to gain a greater understanding of gravitational waves and their sources, which include binary stars, supernovas, and black holes. Algorithms such as BayesWave are designed to analyze signals detected by LIGO. However, BayesWave remains unoptimized in many areas. By examining BayesWave’s analysis of an injected gravitational wave signal while systematically varying several adjustable parameters, this research further optimized BayesWave for the analysis of gravitational waves caused by inspiraling black holes.
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Thesis published by the James White Library at Andrews University

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