Luminosity function and radial distribution of Milky Way Satellites in a LCDM Universe
Andrea V. Maccio' (1), Xi Kang (1), Fabio Fontanot (1), Rachel S., Somerville (1,2), Sergey E. Koposov (1,3,4), Pierluigi Monaco (5,6) ((1), MPIA, Heidelberg; (2) Space Telescope Science Institute, Baltimore;(3), Institute of Astronomy, Cambridge, UK

TL;DR
This study demonstrates that standard semi-analytic models within the Lambda Cold Dark Matter framework can accurately reproduce the observed luminosity function and radial distribution of Milky Way satellite galaxies, resolving previous discrepancies.
Contribution
It provides a detailed comparison of semi-analytic galaxy formation models with observational data, showing these models can match satellite luminosity and distribution without requiring new physics.
Findings
Models reproduce observed satellite luminosity function over six orders of magnitude.
Good agreement between simulated and observed satellite distributions.
Physical processes like tidal destruction and supernova feedback are key to shaping satellite properties.
Abstract
We study the luminosity function and the radial distribution of satellite galaxies within Milky Way sized haloes as predicted in Cold Dark Matter based models of galaxy formation, making use of numerical N-body techniques as well as three different semi-analytic model (SAMs) galaxy formation codes. We extract merger trees from very high-resolution dissipationless simulations of four Galaxy-sized DM haloes, and use these as common input for the semi-analytic models. We present a detailed comparison of our predictions with the observational data recently obtained on the Milky Way satellite luminosity function (LF). We find that semi-analytic models with rather standard astrophysical ingredients are able to reproduce the observed luminosity function over six orders of magnitude in luminosity, down to magnitudes as faint as M_V=-2. We also perform a comparison with the actual observed…
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