Robust Bayesian detection of unmodelled bursts

Antony C. Searle; Patrick J. Sutton; Massimo Tinto; Graham Woan

doi:10.1088/0264-9381/25/11/114038

Robust Bayesian detection of unmodelled bursts

Antony C. Searle, Patrick J. Sutton, Massimo Tinto, Graham Woan

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

Abstract

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.

Original language	English
Article number	114038
Journal	Classical and Quantum Gravity
Volume	25
Issue number	11
DOIs	https://doi.org/10.1088/0264-9381/25/11/114038
Publication status	Published - 7 Jun 2008

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title = "Robust Bayesian detection of unmodelled bursts",

abstract = "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.",

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AU - Sutton, Patrick J.

AU - Tinto, Massimo

AU - Woan, Graham

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AB - 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.

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VL - 25

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JF - Classical and Quantum Gravity

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Robust Bayesian detection of unmodelled bursts

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