Noise reduction in gravitational-wave data via deep learning

Abstract

The authors present a method to extend the reach of gravitational wave detectors, which applies machine learning algorithms to the detector data and interprets data from on-site sensors monitoring the instrument to reduce the noise in the time-series due to instrumental artifacts and environmental contamination.