Multidimensional classification of kleineWelle triggers from LIGO science run

Details Multidimensional classification of kleineWelle triggers from LIGO science run Multidimensional classification of kleineWelle triggers from LIGO science run

Oct 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006cqgra..23s.661m&link_type=abstract

Classical and Quantum Gravity, Volume 23, Issue 19, pp. S661-S672 (2006).

Physics

3

Scientific paper

Multidimensional classification analysis is performed on burst triggers generated by event trigger generating algorithms such as the kleineWelle algorithm in LIGO's fifth science run data. The analysis is meant to extract more information from the structures present in the data in higher dimensions and also aid in vetoing non-gravitational wave signals by grouping triggers with similar characteristics. The parameters used in the analysis include time frequency information as well as shape attributes of the triggers. The method is demonstrated on data from one of the LIGO environmental channels.

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