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[ascl:1910.006] EMERGE: Empirical ModEl for the foRmation of GalaxiEs

Emerge (Empirical ModEl for the foRmation of GalaxiEs) populates dark matter halo merger trees with galaxies using simple empirical relations between galaxy and halo properties. For each model represented by a set of parameters, it computes a mock universe, which it then compares to observed statistical data to obtain a likelihood. Parameter space can be explored with several advanced stochastic algorithms such as MCMC to find the models that are in agreement with the observations.

Code site:
https://github.com/bmoster/emerge http://www.usm.uni-muenchen.de/emerge/
Described in:
https://ui.adsabs.harvard.edu/abs/2019arXiv191009552M https://ui.adsabs.harvard.edu/abs/2018MNRAS.477.1822M
Bibcode:
2019ascl.soft10006M

Views: 90

ascl:1910.006
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