Published October 21, 2004
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Journal Article
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Overview of the BlockNormal event trigger generator
Abstract
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.
Additional Information
© Institute of Physics and IOP Publishing Limited 2004. Received 16 April 2004, in final form 12 August 2004. Published 28 September 2004. Print publication: Issue 20 (21 October 2004). This work was supported by the Center for Gravitational Wave Physics, the International Virtual Data Grid Laboratory and the National Science Foundation under award PHY-00-99559. The International Virtual Data Grid Laboratory is supported by the National Science Foundation under cooperative agreement PHY-0122557; the Center for Gravitational Wave Physics is supported by the National Science Foundation under cooperative agreement PHY 01-14375.Files
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2005-09-27Created from EPrint's datestamp field
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2022-07-12Created from EPrint's last_modified field
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