Cosmology and Astrophysics in UoS

Our research interests span from galaxies to large-scale structures. To study large-scale structures, we focus on clusters and cluster finding algorithms while developing our own (Mulguisin), and also use DisPerSE to extract the filamentary structures to see the galaxies co-evolving with the structures. This understanding of large-scale structures can be applied to estimating the cosmological parameters, by the method of higher-order statistics beyond two-point correlation functions and deep learning. On galaxy scales, we are interested in AGN turn-on mechanisms and SN feedback on satellite galaxies.

Also, we study the galactic-scale dynamics of UltraLight Dark Matter (ULDM) halos using the code PyUltraLight, and compare with the same configuration based on Cold Dark Matter (CDM) using the code GADGET4.

If you find anything interesting, please find more information on each page and do not hesitate to contact us!