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

Authors :
Croton, Darren J.
Stevens, Adam R. H.
Tonini, Chiara
Garel, Thibault
Bernyk, Maksym
Bibiano, Antonio
Hodkinson, Luke
Mutch, Simon J.
Poole, Gregory B.
Shattow, Genevieve M.
Publication Year :
2016

Abstract

This paper describes a new publicly available codebase for modelling galaxy formation in a cosmological context, the "Semi-Analytic Galaxy Evolution" model, or SAGE for short. SAGE is a significant update to that used in Croton et al. (2006) and has been rebuilt to be modular and customisable. The model will run on any N-body simulation whose trees are organised 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: 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.<br />Comment: 15 pages, 9 figures, accepted for publication in ApJS. SAGE is a publicly available codebase for modelling galaxy formation in a cosmological context, available at https://github.com/darrencroton/sage Questions and comments can be sent to Darren Croton: dcroton@astro.swin.edu.au

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1601.04709
Document Type :
Working Paper
Full Text :
https://doi.org/10.3847/0067-0049/222/2/22