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20182026
most citedApplying deep neural networks to the detection and space parameter estimation of compact binary coalescence with a network of gravitational wave detectors

65 citations · 65 across the 4 of their papers we have counts for

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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.…