Testing the Stellar Feedback-driven Breathing Mode in Low-mass Galaxies with Gas Kinematics
Yifei Luo, Joseph Wick, Alexie Leauthaud, Andrew Wetzel, Tucker Jones, Erin Kado-Fong, Song Huang, Xinjun Chen, Conghao Zhou, Jiaxuan Li

TL;DR
This study investigates how feedback-driven gas outflow and inflow cycles, known as breathing modes, influence the dynamics of low-mass galaxies by comparing observational data with FIRE-2 simulations, revealing correlated variations in gas velocity dispersion and star formation.
Contribution
It provides empirical evidence supporting the existence of feedback-driven breathing modes in low-mass galaxies and compares observational results with state-of-the-art simulations.
Findings
Positive correlation between gas velocity dispersion residuals and sSFR.
FIRE-2 simulations produce more low-sSFR galaxies than observed.
Observed low-mass galaxies can exhibit the full range of sSFR predicted by simulations.
Abstract
Hydrodynamic simulations have proposed that stellar feedback and bursty star-formation can produce dark matter cores in low-mass galaxies. A key prediction is that feedback-driven gas outflow and inflow cycles can lead to ``breathing modes'' (rapid fluctuations in the global gravitational potential) which drive correlated variations in galaxy size, kinematics, and star-formation rate. In this paper, we test the dynamical effects of feedback-driven breathing modes using a sample of 103 star-forming low-mass galaxies with stellar masses between and . We measure ionized gas velocity dispersions from H emission lines and compare them to mock observations from the FIRE-2 simulations. We compare gas velocity dispersions (), stellar masses, and specific star-formation rates (sSFR). We find a positive correlation between gas…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Space Technology and Applications
