2016

Classification methods for noise transients in advanced gravitational-wave detectors II: performance tests on Advanced LIGO data

Powell, Jade, Torres-Forné, Alejandro, Lynch, Ryan et al.

Understand

The data taken by the advanced LIGO and Virgo gravitational-wave detectors contains short duration noise transients that limit the significance of astrophysical detections and reduce the duty cycle of the instruments.

As the advanced detectors are reaching sensitivity levels that allow for multiple detections of astrophysical gravitational-wave sources it is crucial to achieve a fast and accurate characterization of non-astrophysical transient noise shortly after it occurs in the detectors.
Previously we presented three methods for the classification of transient noise sources.
They are Principal Component Analysis for Transients (PCAT), Principal Component LALInference Burst (PC-LIB) and Wavelet Detection Filter with Machine Learning (WDF-ML).

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