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Data Analysis Challenges for Multi-Messenger AstrophysicsRecent multi-messenger observations of gravitational-wave and high-energy neutrino sources together with electromagnetic signatures have opened new ways of observing the Universe. These promise a future in which physics and astronomy will be advanced by combining observations and data from across the electromagnetic spectrum with gravitational waves and neutrinos. We consider the challenges the field is facing in fully utilizing data for multi-messenger astrophysics. Such data come from heterogeneous detector networks and standards, and their analysis is often time-critical to guide further observations. In this area, science capabilities depend on the interplay among observation, theory and computational/modeling work. Advances in data science and computing present additional opportunities and considerations in analyzing such data. We invited ADASS participants to a Birds of a Feather session to engage in discussion on the challenges and opportunities in data analysis for multimessenger astrophysics.
Document ID
20210014240
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Peter S Shawhan
(University of Maryland, College Park College Park, Maryland, United States)
Patrick R Brady
(University of Wisconsin–Milwaukee Milwaukee, Wisconsin, United States)
Adam Brazier
(Cornell University Ithaca, New York, United States)
S Bradley Cenko
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Mario Juric
(University of Washington)
Erik Katsavounidis
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
Date Acquired
April 22, 2021
Publication Date
October 1, 2019
Publication Information
Publication: ASP Conference Series
Publisher: Astronomical Society of the Pacific
Volume: 523
Subject Category
Astrophysics
Meeting Information
Meeting: 28th Astronomical Data Analysis Software and Systems
Location: College Park, MD
Country: US
Start Date: November 11, 2018
End Date: November 15, 2018
Sponsors: University of Maryland University College
Funding Number(s)
WBS: 789737
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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