Bibcode
Vazdekis, A.; Quilis, Vicent; Ricciardelli, Elena; Navarro-González, Javier
Bibliographical reference
Monthly Notices of the Royal Astronomical Society, Volume 436, Issue 4, p.3507-3524
Advertised on:
12
2013
Citations
39
Refereed citations
38
Description
We present the results of a numerical adaptive mesh refinement
hydrodynamical and N-body simulation in a Λ cold dark matter
cosmology. We focus on the analysis of the main properties of massive
galaxies (M* > 1011 M⊙) at z =
0. For all the massive virtual galaxies, we carry out a careful study of
their one-dimensional density, luminosity, velocity dispersion and
stellar population profiles. In order to best compare with observational
data, the method to estimate the velocity dispersion is calibrated by
using an approach similar to that performed in the observations, based
on the stellar populations of the simulated galaxies. With these
ingredients, we discuss the different properties of massive galaxies in
our sample according to their morphological types, accretion histories
and dynamical properties. We find that the galaxy merging history is the
leading actor in shaping the massive galaxies that we see nowadays.
Indeed, galaxies having experienced a turbulent life are the most
massive in the sample and show the steepest metallicity gradients.
Beside the importance of merging, only a small fraction of the final
stellar mass has been formed ex situ (10-50 per cent), while the
majority of the stars formed within the galaxy. These accreted stars are
significantly older and less metallic than the stars formed in situ and
tend to occupy the most external regions of the galaxies.
Related projects
Traces of Galaxy Formation: Stellar populations, Dynamics and Morphology
We are a large, diverse, and very active research group aiming to provide a comprehensive picture for the formation of galaxies in the Universe. Rooted in detailed stellar population analysis, we are constantly exploring and developing new tools and ideas to understand how galaxies came to be what we now observe.
Ignacio
Martín Navarro