Halo Occupation Distribution estimation performance for LSST data
Published in Submitted to A&A, 2026
Upcoming surveys such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will measure galaxy clustering with unprecedented precision. In this project, I develop and test new methods to estimate the halo occupation distribution (HOD)—a key tool that links galaxies to their host dark matter haloes. Using realistic mock catalogues based on the cosmoDC2 simulation, I extend background subtraction techniques to work with photometric data and implement a galaxy group–finding algorithm. This work prepares robust tools to study galaxy clustering and galaxy–halo connections with future LSST observations.
Recommended citation: Cataldi et. al. (2026) http://arxiv.org/abs/2603.01978
