Analysis of burst signals in LIGO data: optimizing of burst search algorithm in 
time-frequency domain

Zivkovic, I

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Analysis of burst signals in LIGO data: optimizing of burst search algorithm in time-frequency domain

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Zivkovic, I
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zivkovic, I.(2001). Analysis of burst signals in LIGO data: optimizing of burst search algorithm in time-frequency domain (LIGO-T010157-00-R).

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-E1FC-B

Abstract

There are gravitational wave sources (such as supernovae and binary black hole mergers), which emit waveforms for which no good model exists. The filtering of such burst signals should be as general as possible with minimal a priori assumptions on the waveforms. Those filters are very sensitive to non-stationary noise (producing fake signals) as well as to gravitational wave bursts. Such fake signals can be dramatically reduced when working in coincidence with other detectors. This work focuses on optimizing burst search algorithms by characterizing certain classes of modeled bursts in the time-frequency plane.