Comparing Galaxy Clustering in Horizon-AGN Simulated Lightcone Mocks and VIDEO Observations
Peter Hatfield, Clotilde Laigle, Matt Jarvis, Julien Devriendt, Iary, Davidzon, Olivier Ilbert, Christophe Pichon, Yohan Dubois

TL;DR
This study compares galaxy clustering in Horizon-AGN simulations with VIDEO observations, highlighting discrepancies at low stellar masses and validating HOD modeling as a tool for understanding galaxy-halo relationships.
Contribution
It provides a detailed comparison of simulated and observed galaxy clustering, analyzing biases from SED-fitting and validating HOD modeling for galaxy-halo connection studies.
Findings
Horizon-AGN underestimates clustering at low stellar masses by up to a factor of 3.
Clustering and HOD results are qualitatively similar between simulation and observations.
HOD modeling effectively probes the galaxy-halo connection, validated by comparison with direct simulation measurements.
Abstract
Hydrodynamical cosmological simulations have recently made great advances in reproducing galaxy mass assembly over cosmic time - as often quantified from the comparison of their predicted stellar mass functions to observed stellar mass functions from data. In this paper we compare the clustering of galaxies from the hydrodynamical cosmological simulated lightcone Horizon-AGN, to clustering measurements from the VIDEO survey observations. Using mocks built from a VIDEO-like photometry, we first explore the bias introduced into clustering measurements by using stellar masses and redshifts derived from SED-fitting, rather than the intrinsic values. The propagation of redshift and mass statistical and systematic uncertainties in the clustering measurements causes us to underestimate the clustering amplitude. We find then that clustering and halo occupation distribution (HOD) modelling…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
