Modeling the Impulsive Noise Component and its Effect on the Operation of a Simple Coherent Network Algorithm for Unmodeled Gravitational Wave Bursts Detection

Abstract

An analytic model a la Middleton of the impulsive noise component in the data of interferometric gravitational wave detectors is proposed, based on an atomic representation of glitches. A fully analytic characterization of the coherent network data analysis algorithm proposed by Rakhmanov and Klimenko is obtained, for the simplest relevant case of triggered detection of unmodeled gravitational wave bursts, using the above noise model. The detector's performance is evaluated under a suitable central-limit hypothesis, and the effects of both the noisiness of the pseudo-templates, and the presence of the impulsive noise component are highlighted.

15 pages, 8 figures

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• Separating Gravitational Wave Signals from Instrument Artifacts
• Bayesian detection of unmodeled bursts of gravitational waves
• Neural Network Aided Glitch-Burst Discrimination and Glitch Classification
• Compressed Sensing for Time-Frequency Gravitational Wave Data Analysis