The satellites of the Milky Way - Insights from semi-analytic modelling in a LambdaCDM cosmology
Else Starkenburg, Amina Helmi, Gabriella De Lucia, Yang-Shyang Li,, Julio F. Navarro, Andreea S. Font, Carlos S. Frenk, Volker Springel, Carlos, A. Vera-Ciro, Simon D. M. White

TL;DR
This study combines high-resolution dark matter simulations with semi-analytic models to explore Milky Way satellite properties, achieving good agreement with observations and revealing environmental effects on dwarf galaxy evolution.
Contribution
It introduces a semi-analytic model that accurately reproduces satellite luminosity functions and metallicity relations within a LambdaCDM framework, highlighting environmental impacts.
Findings
Good match with observed satellite luminosity function
Star formation histories vary widely, consistent with observations
Environmental effects like ram-pressure stripping influence dwarf galaxies
Abstract
We combine the six high-resolution Aquarius dark matter simulations with a semi-analytic galaxy formation model to investigate the properties of the satellites of Milky Way-like galaxies. We find good correspondence with the observed luminosity function, luminosity-metallicity relation and radial distribution of the Milky Way satellites. The star formation histories of the dwarf galaxies in our model vary widely, in accordance with what is seen observationally. Ram-pressure stripping of hot gas from the satellites leaves a clear imprint of the environment on the characteristics of a dwarf galaxy. We find that the fraction of satellites dominated by old populations of stars matches observations well. However, the internal metallicity distributions of the model satellites appear to be narrower than observed. This may indicate limitations in our treatment of chemical enrichment, which is…
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