The properties of satellite galaxies in simulations of galaxy formation
Takashi Okamoto (1, 2), Carlos S. Frenk (2), Adrian Jenkins (2),, Tom Theuns (2, 3) ((1) Tsukuba, (2) Durham, (3) Antwerp)

TL;DR
This study uses cosmological simulations to explore how feedback processes, especially supernova-driven winds with velocity proportional to local dark matter velocity dispersion, influence satellite galaxy properties, luminosity functions, and metallicity relations.
Contribution
It demonstrates that variable wind models proportional to local velocity dispersion better reproduce observed satellite galaxy properties than constant wind models.
Findings
Wind models with v_w proportional to sigma match observed satellite luminosity functions.
Variable wind models reproduce the luminosity-metallicity relation.
Constant wind models overproduce faint satellites and misrepresent metallicity relations.
Abstract
We investigate the properties of satellite galaxies in cosmological N-body/SPH simulations of galaxy formation in Milky Way-sized haloes. Because of their shallow potential wells, satellite galaxies are very sensitive to heating processes which affect their gas content. Their properties can therefore be used to constrain the nature of feedback processes that regulate galaxy formation. In our simulations, we assume that all the energy produced by supernovae is used as kinetic energy to drive galactic winds. Several of our simulations produce bright, disc-dominated galaxies. We find that wind models in which the wind speed, v_w, is proportional to local velocity dispersion of dark matter, sigma, (and thus the wind mass-loading, eta_w \propto sigma^{-2}) have episodic star formation histories, reproduce the observed satellite luminosity function reasonably well (down to M_v=-7) and match…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
