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The clustering of DESI-like luminous red galaxies using photometric redshifts

Rongpu ZhouDepartment of Physics and Astronomy, University of Pittsburgh, 3941 O’Hara Street, Pittsburgh, PA 15260, USAJeffrey A. NewmanDepartment of Physics and Astronomy, University of Pittsburgh, 3941 O’Hara Street, Pittsburgh, PA 15260, USAYao-Yuan MaoDepartment of Physics and Astronomy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USAAaron MeisnerNSF’s National Optical-Infrared Astronomy Research Laboratory, 950 N. Cherry Avenue, Tucson, AZ 85719, USAJohn MoustakasDepartment of Physics and Astronomy, Siena College, 515 Loudon Road, Loudonville, NY 12211, USAAdam D. MyersDepartment of Physics & Astronomy, University of Wyoming, 1000 E. University, Dept. 3905, Laramie, WY 82071, USAAbhishek PrakashInfrared Processing and Analysis Center, California Institute of Technology, MC 100-22, Pasadena, CA 91125, USAAndrew R. ZentnerDepartment of Physics and Astronomy, University of Pittsburgh, 3941 O’Hara Street, Pittsburgh, PA 15260, USADavid BrooksDepartment of Physics & Astronomy, University College London, Gower Street, London WC1E 6BT, UKYutong DuanLawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USAMartin LandriauLawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USAM. E. LeviLawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USAFrancisco PradaInstituto de Astrofísica de Andalucía (CSIC), Glorieta de la Astronomía, s/n, E-18008 Granada, SpainG. TarléDepartment of Physics, University of Michigan, Ann Arbor, MI 48109, USA

2020en

ABI

Annotatsiya

ABSTRACT We present measurements of the redshift-dependent clustering of a DESI-like luminous red galaxy (LRG) sample selected from the Legacy Survey imaging data set, and use the halo occupation distribution (HOD) framework to fit the clustering signal. The photometric LRG sample in this study contains 2.7 million objects over the redshift range of 0.4 &lt; z &lt; 0.9 over 5655 deg2. We have developed new photometric redshift (photo-z) estimates using the Legacy Survey DECam and WISE photometry, with σNMAD = 0.02 precision for LRGs. We compute the projected correlation function using new methods that maximize signal-to-noise ratio while incorporating redshift uncertainties. We present a novel algorithm for dividing irregular survey geometries into equal-area patches for jackknife resampling. For a five-parameter HOD model fit using the MultiDark halo catalogue, we find that there is little evolution in HOD parameters except at the highest redshifts. The inferred large-scale structure bias is largely consistent with constant clustering amplitude over time. In an appendix, we explore limitations of Markov chain Monte Carlo fitting using stochastic likelihood estimates resulting from applying HOD methods to N-body catalogues, and present a new technique for finding best-fitting parameters in this situation. Accompanying this paper, we have released the Photometric Redshifts for the Legacy Surveys catalogue of photo-z’s obtained by applying the methods used in this work to the full Legacy Survey Data Release 8 data set. This catalogue provides accurate photometric redshifts for objects with z &lt; 21 over more than 16 000 deg2 of sky.

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DOI: 10.1093/mnras/staa3764

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