The SAGA Survey. V. Modeling Satellite Systems around Milky Way-mass Galaxies with Updated UniverseMachine
Yunchong Wang (1), Ethan O. Nadler (2, 3), Yao-Yuan Mao (4), Risa H. Wechsler (1), Tom Abel (1), Peter Behroozi (5, 6), Marla Geha (7), Yasmeen Asali (7), Mithi A. C. de los Reyes (8), Erin Kado-Fong (7), Nitya Kallivayalil (9), Erik J. Tollerud (10), Benjamin Weiner (5)

TL;DR
This study uses the UniverseMachine framework and SAGA survey data to model star formation and quenching in dwarf satellite galaxies around Milky Way-like hosts, highlighting environmental effects and predicting quenched fractions at very low masses.
Contribution
Introduces the UM-SAGA model with a new quenching component tailored for low-mass galaxies, constrained by recent satellite observations and SDSS data.
Findings
The model reproduces satellite stellar mass functions and quenched fractions.
Enhanced satellite quenching is primarily driven by halo assembly history.
Predicted high quenched fractions (>80%) for satellites at stellar masses around 10^6.5 solar masses.
Abstract
Environment plays a critical role in shaping the assembly of low-mass galaxies. Here, we use the UniverseMachine (UM) galaxy-halo connection framework and the Data Release 3 of the Satellites Around Galactic Analogs (SAGA) Survey to place dwarf galaxy star formation and quenching into a cosmological context. UM is a data-driven forward model that flexibly parameterizes galaxy star formation rates (SFR) using only halo mass and assembly history. We add a new quenching model to UM, tailored for galaxies with stellar masses solar masses, and constrain the model down to a stellar mass solar masses using new SAGA observations of 101 satellite systems around Milky Way (MW)-mass hosts and a sample of isolated field galaxies in a similar mass range from the Sloan Digital Sky Survey (SDSS). The new best-fit model, 'UM-SAGA,' reproduces the satellite stellar mass…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Astronomical Observations and Instrumentation
