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Augmenting astrophysical scaling relations with machine learning: Application to reducing the Sunyaev-Zeldovich flux-mass scatter.
Wadekar, Digvijay; Thiele, Leander; Villaescusa-Navarro, Francisco; Hill, J Colin; Cranmer, Miles; Spergel, David N; Battaglia, Nicholas; Anglés-Alcázar, Daniel; Hernquist, Lars; Ho, Shirley.
Afiliação
  • Wadekar D; School of Natural Sciences, Institute for Advanced Study, Princeton, NJ 08540.
  • Thiele L; Center for Cosmology and Particle Physics, Department of Physics, New York University, New York, NY 10003.
  • Villaescusa-Navarro F; Department of Physics, Princeton University, Princeton NJ 08544.
  • Hill JC; Center for Computational Astrophysics, Flatiron Institute, New York, NY 10010.
  • Cranmer M; Department of Astrophysical Sciences, Princeton University, Princeton NJ 08544-0010.
  • Spergel DN; Center for Computational Astrophysics, Flatiron Institute, New York, NY 10010.
  • Battaglia N; Department of Physics, Columbia University, New York, NY 10027.
  • Anglés-Alcázar D; Department of Astrophysical Sciences, Princeton University, Princeton NJ 08544-0010.
  • Hernquist L; Center for Computational Astrophysics, Flatiron Institute, New York, NY 10010.
  • Ho S; Department of Astrophysical Sciences, Princeton University, Princeton NJ 08544-0010.
Proc Natl Acad Sci U S A ; 120(12): e2202074120, 2023 Mar 21.
Article em En | MEDLINE | ID: mdl-36930602
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article País de publicação: Estados Unidos