A Bayesian treatment of the problem of detecting an unmodelled gravitational
wave burst with a global network of gravitational wave observatories reveals
that several previously proposed statistics have implicit biases that render
them sub-optimal for realistic signal populations.Comment: 9 pages, 1 figure, submitted to CQG Amaldi proceedings special issu

Antony C Searle

Graham Woan

Klimenko S

Massimo Tinto

Mohanty S

Patrick J Sutton

Rakhmanov M

English

arXiv

We develop a Bayesian treatment of the problem of detecting unmodelled gravitational wave bursts using the new global network of interferometric detectors. We also compare this Bayesian treatment with existing coherent methods, and demonstrate that the existing methods make implicit assumptions on the distribution of signals that make them sub-optimal for realistic signal populations

Searle, A.C.

Sutton, P.J.

Tinto, M.

Woan, G.

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Robust Bayesian detection of unmodelled bursts

Crossref

Searle, Antony C.

Sutton, Patrick J.

Tinto, Massimo

Woan, Graham

Online Research @ Cardiff

Caltech Authors - Main

Enlighten: Publications

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https://orca.cardiff.ac.uk/id/eprint/19984/1/Robust_Bayesian_detection.pdf

Robust Bayesian detection of unmodelled bursts

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Enlighten

Crossref

Online Research @ Cardiff

Caltech Authors - Main

Enlighten: Publications