The SAMI Galaxy Survey: the link between angular momentum and optical morphology
L. Cortese, L. M. R. Fogarty, K. Bekki, J. van de Sande, W. Couch, B., Catinella, M. Colless, D. Obreschkow, D. Taranu, E. Tescari, D. Barat, J., Bland-Hawthorn, J. Bloom, J. J. Bryant, M. Cluver, S. M. Croom, M. J., Drinkwater, F. d'Eugenio, I. S. Konstantopoulos

TL;DR
This study explores how stellar and gas angular momentum relate to galaxy mass and morphology, revealing that galaxy shape and dynamical state influence their angular momentum and that late-type and fast-rotator early-type galaxies form a continuous kinematic class.
Contribution
It demonstrates the correlation between angular momentum, mass, and morphology, and shows that galaxy dynamical support varies significantly at fixed stellar mass, unifying late-type and early-type fast rotators.
Findings
Angular momentum increases with stellar mass within one effective radius.
Optical morphology correlates strongly with angular momentum and Sersic index.
The scatter in the mass-angular momentum relation is due to variations in ordered motions.
Abstract
We investigate the relationship between stellar and gas specific angular momentum , stellar mass and optical morphology for a sample of 488 galaxies extracted from the SAMI Galaxy Survey. We find that , measured within one effective radius, monotonically increases with and that, for 10 M, the scatter in this relation strongly correlates with optical morphology (i.e., visual classification and S\'ersic index). These findings confirm that massive galaxies of all types lie on a plane relating mass, angular momentum and stellar light distribution, and suggest that the large-scale morphology of a galaxy is regulated by its mass and dynamical state. We show that the significant scatter in the relation is accounted for by the fact that, at fixed stellar mass, the contribution of ordered motions to the dynamical support of galaxies…
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.
