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Overview of the BlockNormal Event Trigger Generator

In the search for unmodeled gravitational wave bursts, there are a variety of methods that have been proposed to generate candidate events from time series data. Block Normal is a method of identifying candidate events by searching for places in the data stream where the characteristic statistics of...

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Autores principales: McNabb, J W C, Ashley, M, Finn, L S, Rotthoff, E, Stuver, A, Summerscales, T, Sutton, P, Tibbits, M, Thorne, K, Zaleski, K D
Lenguaje:eng
Publicado: 2004
Materias:
Acceso en línea:https://dx.doi.org/10.1088/0264-9381/21/20/013
http://cds.cern.ch/record/733210
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author McNabb, J W C
Ashley, M
Finn, L S
Rotthoff, E
Stuver, A
Summerscales, T
Sutton, P
Tibbits, M
Thorne, K
Zaleski, K D
author_facet McNabb, J W C
Ashley, M
Finn, L S
Rotthoff, E
Stuver, A
Summerscales, T
Sutton, P
Tibbits, M
Thorne, K
Zaleski, K D
author_sort McNabb, J W C
collection CERN
description In the search for unmodeled gravitational wave bursts, there are a variety of methods that have been proposed to generate candidate events from time series data. Block Normal 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.
id cern-733210
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2004
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spelling cern-7332102019-09-30T06:29:59Zdoi:10.1088/0264-9381/21/20/013http://cds.cern.ch/record/733210engMcNabb, J W CAshley, MFinn, L SRotthoff, EStuver, ASummerscales, TSutton, PTibbits, MThorne, KZaleski, K DOverview of the BlockNormal Event Trigger GeneratorGeneral Relativity and CosmologyIn the search for unmodeled gravitational wave bursts, there are a variety of methods that have been proposed to generate candidate events from time series data. Block Normal 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.gr-qc/0404123oai:cds.cern.ch:7332102004
spellingShingle General Relativity and Cosmology
McNabb, J W C
Ashley, M
Finn, L S
Rotthoff, E
Stuver, A
Summerscales, T
Sutton, P
Tibbits, M
Thorne, K
Zaleski, K D
Overview of the BlockNormal Event Trigger Generator
title Overview of the BlockNormal Event Trigger Generator
title_full Overview of the BlockNormal Event Trigger Generator
title_fullStr Overview of the BlockNormal Event Trigger Generator
title_full_unstemmed Overview of the BlockNormal Event Trigger Generator
title_short Overview of the BlockNormal Event Trigger Generator
title_sort overview of the blocknormal event trigger generator
topic General Relativity and Cosmology
url https://dx.doi.org/10.1088/0264-9381/21/20/013
http://cds.cern.ch/record/733210
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