Off the baryonic Tully-Fisher relation: a population of baryon-dominated ultra-diffuse galaxies
Pavel E. Mancera Pi\~na, Filippo Fraternali, Elizabeth A. K. Adams,, Antonino Marasco, Tom Oosterloo, Kyle A. Oman, Lukas Leisman, Enrico M. di, Teodoro, Lorenzo Posti, Michael Battipaglia, John M. Cannon, Lexi Gault,, Martha P. Haynes, Steven Janowiecki, Elizabeth McAllan

TL;DR
This study reveals that HI-rich ultra-diffuse galaxies are outliers in the baryonic Tully-Fisher relation, with low circular velocities despite having baryon fractions consistent with cosmological expectations, challenging existing galaxy formation models.
Contribution
The paper provides the first detailed kinematic analysis of HI-rich UDGs showing they deviate from the baryonic Tully-Fisher relation and possess baryon fractions aligning with cosmological values.
Findings
UDGs are outliers in the baryonic Tully-Fisher relation.
Baryon fractions in UDGs match cosmological expectations.
Baryonic matter accounts for the observed rotation curves.
Abstract
We study the gas kinematics traced by the 21-cm emission of a sample of six HIrich low surface brightness galaxies classified as ultra-diffuse galaxies (UDGs). Using the 3D kinematic modelling code Barolo we derive robust circular velocities, revealing a startling feature: HIrich UDGs are clear outliers from the baryonic Tully-Fisher relation, with circular velocities much lower than galaxies with similar baryonic mass. Notably, the baryon fraction of our UDG sample is consistent with the cosmological value: these UDGs are compatible with having no "missing baryons" within their virial radii. Moreover, the gravitational potential provided by the baryons is sufficient to account for the amplitude of the rotation curve out to the outermost measured point, contrary to other galaxies with similar circular velocities. We speculate that any formation scenario for these…
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.
