Conveners
Galaxies 1
- Yue-Lin Sming Tsai (Purple Mountain Observatory, CAS, China)
Observational surveys of the distribution of matter in the universe are becoming ever more precise and continue to be extended to smaller scales and higher redshifts. To full exploit the observations, similar progress is required on the theoretical side. The redistribution of baryons by galactic winds, which is a major bottleneck in our understanding of the evolution of galaxies and...
In this talk, I will present a systematic investigation into the connection between galaxy morphology and the properties of their host dark-matter halos using the IllustrisTNG-50 simulations.
I will briefly introduce a novel kinematic decomposition method that builds upon existing algorithms but features simple yet physical identification of different morphological components. This new...
With JWST revolutionizing our view of the early Universe, theoretical predictions at high redshifts have become more critical than ever. We investigate the evolution of the galaxy stellar mass function (GSMF) and star formation rates (SFRs) across cosmic time using the new COLIBRE simulations of galaxy formation. COLIBRE improves upon the EAGLE model by incorporating a multiphase interstellar...
The spatial and dynamical distribution of stars are fundamental to characterise galaxy populations across cosmic time. They reflect the conditions in which those stars formed, and the subsequent evolution experienced by their host galaxies. Hence, stellar morphologies represent a fundamental part of our understanding of galaxy formation. Despite several known correlations between the...
We examine the morphological evolution of galaxies at late cosmic times ($z<4$) using Horizon Run 5 (HR5) cosmological hydrodynamic simulation. Building upon previous analyses, we classify galaxies with stellar mass $M_∗>2×10^9 M_{\odot}$ into disk, spheroid, and irregular types based on non-parametric structural diagnostics, primarily asymmetry and Sérsic index. At $z\sim0.625$, we find that...
