Tracing stars in Milky Way satellites with A-SLOTH

Abstract

We study the stellar mass-to-halo mass relation at $z=0$ in 30 Milky Way-like systems down to the ultra-faint ($M_{\ast }<10^5{M}_{\odot }$) regime using the semi-analytic model A-SLOTH. A new model allows us to follow star formation and the stochastic stellar feedback from individually sampled Pop II stars. Our fiducial model produces consistent results with the stellar mass-to-halo mass relation derived from abundance matching and the observed cumulative stellar mass function above the observational completeness. We find a plateau in the stellar mass-to-halo mass relation in the ultra-faint regime. The stellar mass of this plateau tells us how many stars formed before supernovae occur and regulate further star formation, which is determined by the Pop~II star formation efficiency. We also find that the number of luminous satellites increases rapidly as $M_{\ast }$ decreases until $M_{\ast }\approx 10^4{M}_{\odot }$. Finally, we find that the relative streaming velocity between baryons and dark matter at high redshift is important in determining the number of ultra-faint dwarf galaxies at $z=0$. The new model in A-SLOTH provides a framework to study the stellar properties and the formation history of metal-poor stars in Milky Way and its satellites.

18 pages, 11 figures, 3 tables

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Cited by in corpus (10)

• Public Release of A-SLOTH: Ancient Stars and Local Observables by Tracing Halos
• Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass
• Photometric Mass Estimation and the Stellar Mass-Halo Mass Relation for Low Mass Galaxies
• A-SLOTH reveals the nature of the first stars
• True Pair-instability Supernova Descendant: Implications for the First Stars' Mass Distribution
• Gravitational waves from mergers of Population III binary black holes: roles played by two evolution channels
• The Impact of Molecular Hydrogen Cooling on the Galaxy Formation Threshold
• Devouring the Milky Way Satellites: Modeling Dwarf Galaxies with Galacticus
• Comparing simulated Milky Way satellite galaxies with observations using unsupervised clustering
• Forward-modelling the Luminosity, Distance, and Size distributions of the Milky Way Satellites