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Inferring warm dark matter masses with deep learning
External Source
chorus
Document Type
Version of Record
Authors
Jonah C Rose (Department of Astronomy, University of Florida , Gainesville, FL 32611 , USA)
Paul Torrey (Department of Astronomy, University of Florida , Gainesville, FL 32611 , USA)
Francisco Villaescusa-Navarro (Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010 , USA)
Mark Vogelsberger (Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , 70 Vassar St., Cambridge, MA 02139 , USA)
Stephanie O’Neil (Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , 70 Vassar St., Cambridge, MA 02139 , USA)
Mikhail V Medvedev (Department of Physics and Astronomy, University of Kansas , Lawrence, KS 66045 , USA)
Ryan Low (Department of Physics and Astronomy, University of Kansas , Lawrence, KS 66045 , USA)
Rakshak Adhikari (Department of Physics and Astronomy, University of Kansas , Lawrence, KS 66045 , USA)
Daniel Anglés-Alcázar (Center for Computational Astrophysics, Flatiron Institute , 162 5th Avenue, New York, NY 10010 , USA)
Date Acquired
February 10, 2024
Publication Date
October 25, 2023
Publication Information
Publication: Monthly Notices of the Royal Astronomical Society
Publisher: Oxford University Press (OUP)
Volume: 527
Issue: 1
Issue Publication Date: October 28, 2023
ISSN: 0035-8711
e-ISSN: 1365-2966
DOI: 10.1093/mnras/stad3260
Funding Number(s)
funding: AST-2008490
funding: 80NSSC22K0716
Distribution Limits
Public
Keywords
space and planetary science
astronomy and astrophysics

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