Description
I will present recent results on the relationship between galaxy evolution and dark matter halos using deep extragalactic surveys. I use LSST-quality optical data from HSC and VOICE, and Euclid-quality near-infrared data from VIDEO and UltraVISTA, to measure galaxy clustering in the COSMOS, XMM-LSS, and ECDFS fields.
Together, these fields cover an area of ~10 square degrees, which is five times larger than previous deep-field clustering studies. This enables us to probe the clustering of the most massive galaxies across cosmic time, not previously achieved at this depth and scale. The use of multiple independent fields helps to overcome cosmic variance, and the large area allows better sampling of the clustering between halos.
By measuring the two-point correlation function up to redshift z=4, I use halo occupation distribution (HOD) modelling to derive key parameters such as the satellite fraction, galaxy bias, and the stellar mass–halo mass relation. These reveal how galaxies occupy halos of different masses and how this evolves with cosmic time.
My analysis provides insights into the role of the environment in shaping galaxy evolution and the connection between galaxy properties and dark matter halo properties. This work demonstrates the power of wide, deep, multi-band surveys in studying galaxy environments and large-scale structure. It also serves as a prototype for upcoming clustering studies with LSST and Euclid, showcasing how early data can be used to constrain the galaxy–halo connection and providing a framework for future, larger-scale analyses with LSST.
