Enabling real-time multi-messenger astrophysics discoveries with deep learning
Abstract
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 probe the Universe using different cosmic messengers: electromagnetic waves, cosmic rays, gravitational waves and neutrinos. In this Expert Recommendation, we review the key challenges of real-time observations of gravitational wave sources and their electromagnetic and astroparticle counterparts, and make a number of recommendations to maximize their potential for scientific discovery. These recommendations refer to the design of scalable and computationally efficient machine learning algorithms; the cyber-infrastructure to numerically simulate astrophysical sources, and to process and interpret multi-messenger astrophysics data; the management of gravitational wave detections to trigger real-time alerts for electromagnetic and astroparticle follow-ups; a vision to harness future developments of machine learning and cyber-infrastructure resources to cope with the big-data requirements; and the need to build a community of experts to realize the goals of multi-messenger astrophysics.
Cite
@article{arxiv.1911.11779,
title = {Enabling real-time multi-messenger astrophysics discoveries with deep learning},
author = {E. A. Huerta and Gabrielle Allen and Igor Andreoni and Javier M. Antelis and Etienne Bachelet and Bruce Berriman and Federica Bianco and Rahul Biswas and Matias Carrasco and Kyle Chard and Minsik Cho and Philip S. Cowperthwaite and Zachariah B. Etienne and Maya Fishbach and Francisco Förster and Daniel George and Tom Gibbs and Matthew Graham and William Gropp and Robert Gruendl and Anushri Gupta and Roland Haas and Sarah Habib and Elise Jennings and Margaret W. G. Johnson and Erik Katsavounidis and Daniel S. Katz and Asad Khan and Volodymyr Kindratenko and William T. C. Kramer and Xin Liu and Ashish Mahabal and Zsuzsa Marka and Kenton McHenry and Jonah Miller and Claudia Moreno and Mark Neubauer and Steve Oberlin and Alexander R. Olivas and Donald Petravick and Adam Rebei and Shawn Rosofsky and Milton Ruiz and Aaron Saxton and Bernard F. Schutz and Alex Schwing and Ed Seidel and Stuart L. Shapiro and Hongyu Shen and Yue Shen and Leo Singer and Brigitta M. Sipőcz and Lunan Sun and John Towns and Antonios Tsokaros and Wei Wei and Jack Wells and Timothy J. Williams and Jinjun Xiong and Zhizhen Zhao},
journal= {arXiv preprint arXiv:1911.11779},
year = {2019}
}
Comments
Invited Expert Recommendation for Nature Reviews Physics. The art work produced by E. A. Huerta and Shawn Rosofsky for this article was used by Carl Conway to design the cover of the October 2019 issue of Nature Reviews Physics