A Bayesian coincidence test for noise rejection in a gravitational-wave burst search

被引：24

作者：

Cannon, Kipp C. ^{[1
]}

机构：

[1] CALTECH, LIGO Lab 1834, Pasadena, CA 91125 USA

来源：

CLASSICAL AND QUANTUM GRAVITY | 2008年 / 25卷 / 10期

关键词：

D O I：

10.1088/0264-9381/25/10/105024

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

In searches for gravitational-wave bursts, a standard technique used to reject noise is to discard burst event candidates that are not seen in coincidence in multiple detectors. A coincidence test in which Bayesian inference is used to measure how noise-like a tuple of events appears is presented here. This technique is shown to yield higher detection efficiencies for a given false alarm rate than do techniques based on per-parameter thresholds when applied to a toy model covering a broad class of event candidate populations. Also presented is the real-world example of a use of the technique for noise rejection in a time-frequency burst search conducted on simulated gravitational-wave detector data. Besides achieving a higher detection efficiency, the technique is significantly less challenging to implement well than is a per-parameter threshold method.

引用

页数：13

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