Semi-Analytic Galaxy Evolution (SAGE): Model Calibration and Basic Results - INSU - Institut national des sciences de l'Univers
Article Dans Une Revue The Astrophysical Journal Supplement Series Année : 2016

Semi-Analytic Galaxy Evolution (SAGE): Model Calibration and Basic Results

Darren J. Croton
  • Fonction : Auteur
Adam R. H. Stevens
  • Fonction : Auteur
Chiara Tonini
  • Fonction : Auteur
Maksym Bernyk
  • Fonction : Auteur
Antonio Bibiano
  • Fonction : Auteur
Luke Hodkinson
  • Fonction : Auteur
Simon J. Mutch
  • Fonction : Auteur
Gregory B. Poole
  • Fonction : Auteur
Genevieve M. Shattow
  • Fonction : Auteur

Résumé

This paper describes a new publicly available codebase for modeling galaxy formation in a cosmological context, the “Semi-Analytic Galaxy Evolution” model, or sage for short.5 sage is a significant update to the 2006 model of Croton et al. and has been rebuilt to be modular and customizable. The model will run on any N-body simulation whose trees are organized in a supported format and contain a minimum set of basic halo properties. In this work, we present the baryonic prescriptions implemented in sage to describe the formation and evolution of galaxies, and their calibration for three N-body simulations: Millennium, Bolshoi, and GiggleZ. Updated physics include the following: gas accretion, ejection due to feedback, and reincorporation via the galactic fountain; a new gas cooling-radio mode active galactic nucleus (AGN) heating cycle; AGN feedback in the quasar mode; a new treatment of gas in satellite galaxies; and galaxy mergers, disruption, and the build-up of intra-cluster stars. Throughout, we show the results of a common default parameterization on each simulation, with a focus on the local galaxy population.

Dates et versions

insu-03710587 , version 1 (30-06-2022)

Identifiants

Citer

Darren J. Croton, Adam R. H. Stevens, Chiara Tonini, Thibault Garel, Maksym Bernyk, et al.. Semi-Analytic Galaxy Evolution (SAGE): Model Calibration and Basic Results. The Astrophysical Journal Supplement Series, 2016, 222, ⟨10.3847/0067-0049/222/2/22⟩. ⟨insu-03710587⟩
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