375 citations · 1.3k across the 19 of their papers we have counts for
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Glitch Classification and Clustering for LIGO with Deep Transfer Learning
Daniel George, Hongyu Shen, E. A. Huerta
The detection of gravitational waves with LIGO and Virgo requires a detailed understanding of the response of these instruments in the presence of environmental and instrumental no…
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data
Daniel George, E. A. Huerta
The recent Nobel-prize-winning detections of gravitational waves from merging black holes and the subsequent detection of the collision of two neutron stars in coincidence with ele…
Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations
Daniel Johnson, E. A. Huerta, Roland Haas
Numerical simulations of Einstein's field equations provide unique insights into the physics of compact objects moving at relativistic speeds, and which are driven by strong gravit…
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO
Daniel George, Hongyu Shen, E. A. Huerta
The exquisite sensitivity of the advanced LIGO detectors has enabled the detection of multiple gravitational wave signals. The sophisticated design of these detectors mitigates the…
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
Daniel George, E. A. Huerta
Gravitational wave astronomy has set in motion a scientific revolution. To further enhance the science reach of this emergent field, there is a pressing need to increase the depth…