The evolution of the sizes and angular momentum content of galaxies in the COLIBRE simulations
Aaron D. Ludlow, Katy L. Proctor, Joop Schaye, Filip Hu\v{s}ko, Victor J. Forouhar Moreno, Danail Obreschkow, Evgenii Chaikin, Matthieu Schaller, Sylvia Ploeckinger, Alejandro Ben\'itez-Llambay, Kyle A. Oman, Robert J. McGibbon, James W. Trayford, Carlos S. Frenk

TL;DR
This study uses the Colibre simulations to analyze galaxy sizes and angular momentum, comparing results to observations from redshift 0 to 4, and finds good agreement at low redshift with some discrepancies at higher redshift.
Contribution
The paper demonstrates that the Colibre simulations accurately reproduce observed galaxy size-mass and angular momentum-mass relations across a wide redshift range, highlighting their realism.
Findings
Simulations match observed size-mass relations at z=0 across various size definitions.
Reproduce the segregation of galaxy types in size-mass and angular momentum-mass planes.
At higher redshifts, simulated massive galaxies are smaller than observed, possibly due to dust attenuation effects.
Abstract
We analyse the sizes and specific angular momentum content of galaxies in the Colibre cosmological hydrodynamical simulations spanning two orders of magnitude in mass resolution. We compare the predicted size-mass and angular momentum-mass relations to a broad range of observational measurements spanning redshifts to . At , Colibre reproduces observed size-mass relations over the sampled mass range , and for multiple size definitions, including two- and three-dimensional stellar half-mass radii, half-light radii across several wavelengths, as well as alternative measures such as baryonic half-mass radii and characteristic radii defined by stellar surface density thresholds. The simulations also recover the observed segregation of galaxies in the size-mass plane by morphological type and star formation rate, and…
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.
