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Generating mock galaxy catalogues for flux-limited samples like the DESI Bright Galaxy Survey

A. G. SmithInstitute for Computational Cosmology, Department of Physics, Durham University , South Road, Durham DH1 3LE , UKCameron GroveInstitute for Computational Cosmology, Department of Physics, Durham University , South Road, Durham DH1 3LE , UKShaun ColeInstitute for Computational Cosmology, Department of Physics, Durham University , South Road, Durham DH1 3LE , UKP. NorbergCentre for Extragalactic Astronomy, Department of Physics, Durham University , South Road, Durham DH1 3LE , UKPauline ZarroukLaboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), CNRS/IN2P3 and Sorbonne Université , 4 place Jussieu, F-75005 Paris , FranceSihan YuanSLAC National Accelerator Laboratory , Menlo Park, CA 94305 , USAJ. AguilarLawrence Berkeley National Laboratory , 1 Cyclotron Road, Berkeley, CA 94720 , USAS. AhlenPhysics Dept., Boston University , 590 Commonwealth Avenue, Boston, MA 02215 , USADavid J. BrooksDepartment of Physics and Astronomy, University College London , Gower Street, London WC1E 6BT , UKT. ClaybaughLawrence Berkeley National Laboratory , 1 Cyclotron Road, Berkeley, CA 94720 , USAA de la MacorraInstituto de Física, Universidad Nacional Autónoma de México , Cd. de México C.P. 04510 , MéxicoP. DoelDepartment of Physics and Astronomy, University College London , Gower Street, London WC1E 6BT , UKJ. E. Forero-RomeroDepartamento de Física, Universidad de los Andes , Cra. 1 No. 18A-10, Edificio Ip, CP 111711 Bogotá , ColombiaE. GaztañagaInstitut d’Estudis Espacials de Catalunya (IEEC) , E-08034 Barcelona , SpainSatya Gontcho A GontchoLawrence Berkeley National Laboratory , 1 Cyclotron Road, Berkeley, CA 94720 , USAChang Hoon HahnDepartment of Astrophysical Sciences, Princeton University , Princeton, NJ 08544 , USAR. KehoeDepartment of Physics, Southern Methodist University , 3215 Daniel Avenue, Dallas, TX 75275 , USAA KreminLawrence Berkeley National Laboratory , 1 Cyclotron Road, Berkeley, CA 94720 , USAM. E. LeviLawrence Berkeley National Laboratory , 1 Cyclotron Road, Berkeley, CA 94720 , USAMarc ManeraDepartament de Física, Serra Húnter, Universitat Autònoma de Barcelona , E-08193 Bellaterra, Barcelona , SpainAaron MeisnerNSF’s NOIRLab , 950 N. Cherry Ave., Tucson, AZ 85719 , USAR. MiquelInstitució Catalana de Recerca i Estudis Avançats, Passeig de Lluís Companys , 23, E-08010 Barcelona , SpainJohn MoustakasDepartment of Physics and Astronomy, Siena College , 515 Loudon Road, Loudonville, NY 12211 , USAJundan NieNational Astronomical Observatories, Chinese Academy of Sciences , A20 Datun Rd., Chaoyang District, Beijing 100012 , P. R. ChinaWill J. PercivalDepartment of Physics and Astronomy, University of Waterloo , 200 University Ave W, Waterloo, ON N2L 3G1 , CanadaMehdi RezaieDepartment of Physics, Kansas State University , 116 Cardwell Hall, Manhattan, KS 66506 , USAG RossiDepartment of Physics and Astronomy, Sejong University , Seoul 143-747 , KoreaE. SánchezCIEMAT , Avenida Complutense 40, E-28040 Madrid , SpainHee‐Jong SeoDepartment of Physics and Astronomy, Ohio University , Athens, OH 45701 , USAG. TarléDepartment of Physics, University of Michigan , Ann Arbor, MI 48109 , USAZhiming ZhouNational Astronomical Observatories, Chinese Academy of Sciences , A20 Datun Rd., Chaoyang District, Beijing 100012 , P. R. China
2024en
ABI

Abstract

ABSTRACT Accurate mock galaxy catalogues are crucial to validate analysis pipelines used to constrain dark energy models. We present a fast HOD-fitting method which we apply to the AbacusSummit simulations to create a set of mock catalogues for the DESI Bright Galaxy Survey, which contain r-band magnitudes and $(g-r)$ colours. The halo tabulation method fits HODs for different absolute magnitude threshold samples simultaneously, preventing unphysical HOD crossing between samples. We validate the HOD fitting procedure by fitting to real-space clustering measurements and galaxy number densities from the MXXL BGS mock, which was tuned to the SDSS and GAMA surveys. The best-fitting clustering measurements and number densities are mostly within the assumed errors, but the clustering for the faint samples is low on large scales. The best-fitting HOD parameters are robust when fitting to simulations with different realizations of the initial conditions. When varying the cosmology, trends are seen as a function of each cosmological parameter. We use the best-fitting HOD parameters to create cubic box and cut sky mocks from the AbacusSummit simulations, in a range of cosmologies. As an illustration, we compare the ${}^{0.1}M_r\lt -20$ sample of galaxies in the mock with BGS measurements from the DESI one-percent survey. We find good agreement in the number densities, and the projected correlation function is reasonable, with differences that can be improved in the future by fitting directly to BGS clustering measurements. The cubic box and cut-sky mocks in different cosmologies are made publicly available.

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Cited by 40 references