activity
20182023
most citedProspects for Fundamental Physics with LISA

401 citations · 918 across the 11 of their papers we have counts for

collaborators

11 papers

physics.comp-ph2023★ 21 cited

Magnetohydrodynamics with Physics Informed Neural Operators

Shawn G. Rosofsky, E. A. Huerta

The modeling of multi-scale and multi-physics complex systems typically involves the use of scientific software that can optimally leverage extreme scale computing. Despite major d…

gr-qc2022★ 18 cited

Numerical relativity higher order gravitational waveforms of eccentric, spinning, non-precessing binary black hole mergers

Abhishek V. Joshi, Shawn G. Rosofsky, Roland Haas +1

We use the open source, community-driven, numerical relativity software, the Einstein Toolkit to study the physics of eccentric, spinning, nonprecessing binary black hole mergers w…

physics.comp-ph2022★ 49 cited

Applications of physics informed neural operators

Shawn G. Rosofsky, Hani Al Majed, E. A. Huerta

We present an end-to-end framework to learn partial differential equations that brings together initial data production, selection of boundary conditions, and the use of physics-in…

gr-qc2020★ 401 cited

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…

physics.comp-ph2019★ 22 cited

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…

gr-qc2019★ 85 cited

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…

gr-qc2019★ 98 cited

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…

astro-ph.HE2019★ 149 cited

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,…

astro-ph.IM2019★ 11 cited

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…

gr-qc2019★ 46 cited

Physics of eccentric binary black hole mergers: A numerical relativity perspective

E. A. Huerta, Roland Haas, Sarah Habib +9

Gravitational wave observations of eccentric binary black hole mergers will provide unequivocal evidence for the formation of these systems through dynamical assembly in dense stel…

gr-qc2018★ 18 cited

Probing neutron star structure via f-mode oscillations and damping in dynamical spacetime models

Shawn Rosofsky, Roman Gold, Cecilia Chirenti +2

Gravitational wave and electromagnetic observations can provide new insights into the nature of matter at supra-nuclear densities inside neutron stars. Improvements in electromagne…