Noise reduction in gravitational-wave data via deep learning

Rich Ormiston, Tri Nguyên, M. W. Coughlin, R. X. Adhikari, E. Katsavounidis

Type: Article

Publication Date: 2020-07-14

Citations: 18

DOI: https://doi.org/10.1103/physrevresearch.2.033066

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.

Locations

Physical Review Research - View - PDF
arXiv (Cornell University) - View - PDF
CaltechAUTHORS (California Institute of Technology) - View - PDF
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