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Overview of the BlockNormal Event Trigger Generator

J W C McNabb·M Ashley·L S Finn·E Rotthoff·A Stuver·T Summerscales·P Sutton·M Tibbits·K Thorne·K Zaleski
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Abstract

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.

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J W C McNabb, M Ashley, L S Finn, E Rotthoff, A Stuver, T Summerscales, P Sutton, M Tibbits, K Thorne, K Zaleski. 2004-04-29. Overview of the BlockNormal Event Trigger Generator. https://doi.org/10.1088/0264-9381%2F21%2F20%2F013

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