Hyper-Millennium project: a hyper cosmological simulation for the next generation of large-scale structure survey

Understanding the nature of dark matter and dark energy is one of the major challenges in modern cosmology, driving extensive international efforts through large-scale structure surveys such as LSST, DESI, Euclid, PFS, and CSST. To support these surveys, we have completed a cosmological N-body simulation that evolves approximately 4 trillion particles from redshift 100 to the present day within a 2.5 Gpc/h box, with a particle mass of (3.2x10^8Msunh). The simulation provides a powerful foundation for modelling large-scale structure and galaxy formation, enabling studies of cosmological observables such as baryon acoustic oscillations, redshift-space distortions, and weak lensing. Building on this simulation, we have developed galaxy and AGN formation models to connect the underlying dark matter distribution with observable galaxies across cosmic time. Our recent work also extends to the early Universe, exploring the roles of the stellar initial mass function, supernova feedback, and other physical processes in reproducing the properties of high-redshift galaxies observed by JWST. In this talk, I will present the simulation, recent developments in galaxy and AGN modelling, and selected applications to cosmology and galaxy formation.

Speaker: 
Qi Guo (Beijing Normal University)
Place: 
KIAA-auditorium
Time: 
Thursday, November 12, 2026 - 3:30PM to Thursday, November 12, 2026 - 4:30PM
Biography: 
Prof. Qi Guo is a professor at Beijing Normal University. She received her Ph.D. from the University of Munich in 2009 and conducted postdoctoral research at Durham University. In 2013, she was selected as part of the Thousand Talents Program for young scientists and was awarded the National Science Fund for Distinguished Young Scholars in 2024. Her research focuses on galaxy cosmology, and she has made a series of high-profile contributions in both theoretical and observational aspects. She was awarded the Chinese Academy of Sciences Young Scientist Award in 2020 and the Royal Society Newton Advanced Fellowship in 2016.