Overview of the BlockNormal event trigger generator

被引：25

作者：

McNabb, JWC ^{[1
]}

Ashley, M ^{[1
]}

Finn, LS ^{[1
]}

Rotthoff, E ^{[1
]}

Stuver, A ^{[1
]}

Summerscales, T ^{[1
]}

Sutton, P ^{[1
]}

Tibbits, M ^{[1
]}

Thorne, K ^{[1
]}

Zaleski, K ^{[1
]}

机构：

[1] Penn State Univ, Ctr Gravitat Wave Phys, University Pk, PA 16802 USA

来源：

CLASSICAL AND QUANTUM GRAVITY | 2004年 / 21卷 / 20期

关键词：

D O I：

10.1088/0264-9381/21/20/013

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

In the search for unmodelled gravitational wave bursts, there are a variety of methods that have been proposed to generate candidate events from time series data. BlockNormal is a method of identifying candidate events by searching for places in the data stream where the characteristic statistics of the data change. These change points divide the data into blocks in which the characteristics of the block are stationary. Blocks in which these characteristics are inconsistent with the long term characteristic statistics are marked as event triggers, which can then be investigated by a more computationally demanding multi-detector analysis.

引用

页码：S1705 / S1710

页数：6

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