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Home of the Semi-Analytic Galaxy Evolution (SAGE) galaxy formation model

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Semi-Analytic Galaxy Evolution (SAGE)

Build Status DOI

SAGE is a publicly available code-base for modelling galaxy formation in a cosmological context. A description of the model and its default calibration results can be found in Croton et al. (2016). These calibration results can also be explored in an iPython notebook showcasing the key figures here. SAGE is a significant update to that previously used in Croton et al. (2006).

SAGE is written in C and was built to be modular and customisable. It will run on any N-body simulation whose trees are organised in a supported format and contain a minimum set of basic halo properties. For testing purposes, treefiles for the mini-Millennium Simulation are available here.

Galaxy formation models built using SAGE on the Millennium, Bolshoi and GiggleZ simulations can be downloaded at the Theoretical Astrophysical Observatory (TAO). You can also find SAGE on ascl.net.

Installation

SAGE should compile on most systems out of the box and the only required tool is a C99 compiler. GSL is recommended but not necessary. Optionally, SAGE can read in trees in HDF5 format if compiled with HDF5 library support.

Citation

If you use SAGE in a publication, please cite the following items:

@ARTICLE{2016ApJS..222...22C,
   author = {{Croton}, D.~J. and {Stevens}, A.~R.~H. and {Tonini}, C. and 
	{Garel}, T. and {Bernyk}, M. and {Bibiano}, A. and {Hodkinson}, L. and 
	{Mutch}, S.~J. and {Poole}, G.~B. and {Shattow}, G.~M.},
    title = "{Semi-Analytic Galaxy Evolution (SAGE): Model Calibration and Basic Results}",
  journal = {\apjs},
archivePrefix = "arXiv",
   eprint = {1601.04709},
 keywords = {galaxies: active, galaxies: evolution, galaxies: halos, methods: numerical},
     year = 2016,
    month = feb,
   volume = 222,
      eid = {22},
    pages = {22},
      doi = {10.3847/0067-0049/222/2/22},
   adsurl = {http://adsabs.harvard.edu/abs/2016ApJS..222...22C},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Maintainer

Questions and comments can be sent to Darren Croton: dcroton@astro.swin.edu.au.

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Home of the Semi-Analytic Galaxy Evolution (SAGE) galaxy formation model

License:MIT License


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