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astro-ph.IM2018★ 65 cited
Applying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectors
Xilong Fan, Jin Li, Xin Li +2
In this paper, we study an application of deep learning to the advanced LIGO and advanced Virgo coincident detection of gravitational waves (GWs) from compact binary star mergers.…
astro-ph.IM2013★ 115 cited
Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data
Rahul Biswas, Lindy Blackburn, Junwei Cao +13
The sensitivity of searches for astrophysical transients in data from the LIGO is generally limited by the presence of transient, non-Gaussian noise artifacts, which occur at a hig…