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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...
Autores principales: | , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2004
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/0264-9381/21/20/013 http://cds.cern.ch/record/733210 |
_version_ | 1780903909353586688 |
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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 |
record_format | invenio |
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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