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Published December 2019 | Published + Accepted Version
Journal Article Open

Comparing galaxy clustering in Horizon-AGN simulated light-cone mocks and VIDEO observations

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 light-cone 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 spectral energy distribution 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 then find that clustering and halo occupation distribution (HOD) modelling results are qualitatively similar in Horizon-AGN and VIDEO. However, at low stellar masses, Horizon-AGN underestimates the observed clustering by up to a factor of ∼3, reflecting the known excess stellar mass to halo mass ratio for Horizon-AGN low-mass haloes, already discussed in previous works. This reinforces the need for stronger regulation of star formation in low-mass haloes in the simulation. Finally, the comparison of the stellar mass to halo mass ratio in the simulated catalogue, inferred from angular clustering, to that directly measured from the simulation validates HOD modelling of clustering as a probe of the galaxy–halo connection.

Additional Information

© 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) Accepted 2019 October 7. Received 2019 September 9; in original form 2019 April 12. Many thanks to the anonymous referee whose comments have greatly improved the quality of this paper. PWH wishes to acknowledge support provided through an STFC studentship. Many thanks to Jeremy Blaizot for comments and input to the ideas in this paper and to Steven Murray for advice for using HALOMOD. CL was supported by a Beecroft Fellowship. JD acknowledges funding support from Adrian Beecroft, the Oxford Martin School, and the STFC. OI acknowledges the funding of the French Agence Nationale de la Recherche for the project 'SAGACE'. We thank Stephane Rouberol for running the cluster hosted by the Institut d'Astrophysique de Paris. This work was supported by the Oxford Centre for Astrophysical Surveys, which is funded through generous support from the Hintze Family Charitable Foundation, the award of the STFC consolidated grant (ST/N000919/1), and the John Fell Oxford University Press (OUP) Research Fund. This research was also supported in part by the National Science Foundation under Grant No. NSF PHY-1748958. Based on data products from observations made with ESO Telescopes at the La Silla or Paranal Observatories under ESO programme ID 179.A-2006. Based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/IRFU, at the Canada–France–Hawaii Telescope, which is operated by the National Research Council (NRC) of Canada, the Institut National des Science de l'Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at Terapix available at the Canadian Astronomy Data Centre as part of the Canada-France–Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS.

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Additional details

Created:
August 19, 2023
Modified:
October 18, 2023