149 citations · 361 across the 5 of their papers we have counts for
8 papers
Prospects for Fundamental Physics with LISA
Enrico Barausse, Emanuele Berti, Thomas Hertog +318
In this paper, which is of programmatic rather than quantitative nature, we aim to further delineate and sharpen the future potential of the LISA mission in the area of fundamental…
Artificial neural network subgrid models of 2-D compressible magnetohydrodynamic turbulence
Shawn G. Rosofsky, E. A. Huerta
We explore the suitability of deep learning to capture the physics of subgrid-scale ideal magnetohydrodynamics turbulence of 2-D simulations of the magnetized Kelvin-Helmholtz inst…
Enabling real-time multi-messenger astrophysics discoveries with deep learning
E. A. Huerta, Gabrielle Allen, Igor Andreoni +57
Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that…
All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1186
We present the results of a search for short-duration gravitational-wave transients in the data from the second observing run of Advanced LIGO and Advanced Virgo. We search for gra…
All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO O2 data
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1130
We present results of an all-sky search for continuous gravitational waves (CWs), which can be produced by fast-spinning neutron stars with an asymmetry around their rotation axis,…
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
Gabrielle Allen, Igor Andreoni, Etienne Bachelet +45
This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrop…