Star Formation Histories of Ultra-Faint Dwarf Galaxies: environmental differences between Magellanic and non-Magellanic satellites?
Elena Sacchi, Hannah Richstein, Nitya Kallivayalil, Roeland van der, Marel, Mattia Libralato, Paul Zivick, Gurtina Besla, Thomas M. Brown, Yumi, Choi, Alis Deason, Tobias Fritz, Marla Geha, Puragra Guhathakurta, Myoungwon, Jeon, Evan Kirby, Steven R. Majewski, Ekta Patel

TL;DR
This study analyzes the star formation histories of seven ultra-faint dwarf galaxies, revealing that Magellanic satellites tend to quench star formation more recently than other Milky Way satellites, suggesting environmental influence.
Contribution
It provides detailed SFHs of ultra-faint dwarfs and identifies environmental differences between Magellanic and non-Magellanic satellites, highlighting the impact of host environment on galaxy evolution.
Findings
Magellanic satellites have later quenching times by ~600 Myr.
All galaxies formed at least 80% of stars by z~6.
Quenching times are generally older than 11.5 Gyr.
Abstract
We present the color-magnitude diagrams and star formation histories (SFHs) of seven ultra-faint dwarf galaxies: Horologium 1, Hydra 2, Phoenix 2, Reticulum 2, Sagittarius 2, Triangulum 2, and Tucana 2, derived from high-precision Hubble Space Telescope photometry. We find that the SFH of each galaxy is consistent with them having created at least 80% of the stellar mass by . For all galaxies, we find quenching times older than 11.5 Gyr ago, compatible with the scenario in which reionization suppresses the star formation of small dark matter halos. However, our analysis also reveals some differences in the SFHs of candidate Magellanic Cloud satellites, i.e., galaxies that are likely satellites of the Large Magellanic Cloud and that entered the Milky Way potential only recently. Indeed, Magellanic satellites show quenching times about 600 Myr more recent with respect to those of…
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.
