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Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with 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…
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…
Constraints on cosmic strings using data from the first Advanced LIGO observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1042
Cosmic strings are topological defects which can be formed in GUT-scale phase transitions in the early universe. They are also predicted to form in the context of string theory. Th…
On the Progenitor of Binary Neutron Star Merger GW170817
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1095
On 2017 August 17 the merger of two compact objects with masses consistent with two neutron stars was discovered through gravitational-wave (GW170817), gamma-ray (GRB 170817A), and…
Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders
Hongyu Shen, Daniel George, E. A. Huerta +1
Gravitational wave astronomy is a rapidly growing field of modern astrophysics, with observations being made frequently by the LIGO detectors. Gravitational wave signals are often…
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…