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EMERGE: Empirical ModEl for the foRmation of GalaxiEs

Posted: Tue Oct 29, 2019 10:34 pm
by Ada Coda
EMERGE: Empirical ModEl for the foRmation of GalaxiEs

Abstract: 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.

Credit: Moster, Benjamin P.; Naab, Thorsten; O'Leary, Joseph A.; White, Simon D. M.

Site: http://www.usm.uni-muenchen.de/emerge/
https://ui.adsabs.harvard.edu/abs/2018MNRAS.477.1822M

Bibcode: 2019ascl.soft10006M

ID: ascl:1910.006