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Simple lessons from complex learning: what a neural network model learns about cosmic structure formation.
Jamieson, Drew; Li, Yin; He, Siyu; Villaescusa-Navarro, Francisco; Ho, Shirley; de Oliveira, Renan Alves; Spergel, David N.
Affiliation
  • Jamieson D; Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Straße 1, 85748 Garching, Germany.
  • Li Y; Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800, USA.
  • He S; Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, NY 10010, USA.
  • Villaescusa-Navarro F; Center for Computational Mathematics, Flatiron Institute, 162 5th Avenue, New York, NY 10010, USA.
  • Ho S; Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, NY 10010, USA.
  • de Oliveira RA; Department of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Spergel DN; Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, NY 10010, USA.
PNAS Nexus ; 2(4): pgac250, 2023 Apr.
Article in En | MEDLINE | ID: mdl-37091548
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: PNAS Nexus Year: 2023 Document type: Article Affiliation country: Alemania Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: PNAS Nexus Year: 2023 Document type: Article Affiliation country: Alemania Country of publication: Reino Unido