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Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
Hunter Gabbard, Chris Messenger, Ik Siong Heng +2
Gravitational wave (GW) detection is now commonplace and as the sensitivity of the global network of GW detectors improves, we will observe s of transient GW even…
Ground motion prediction at gravitational wave observatories using archival seismic data
Nikhil Mukund, Michael Coughlin, Jan Harms +13
Gravitational wave observatories have always been affected by tele-seismic earthquakes leading to a decrease in duty cycle and coincident observation time. In this analysis, we lev…
Matching matched filtering with deep networks in gravitational-wave astronomy
Hunter Gabbard, Michael Williams, Fergus Hayes +1
We report on the construction of a deep convolutional neural network that can reproduce the sensitivity of a matched-filtering search for binary black hole gravitational-wave signa…