Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 501, Issue 3, Pages 3309-3331Publisher
OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa3764
Keywords
galaxies: distances and redshifts; galaxies: evolution; galaxies: haloes; large-scale structure of Universe
Categories
Funding
- U.S. Department of Energy Office of Science, Office of High Energy Physics [DE-SC0007914]
- Office of Science, Office ofHigh Energy Physics of the U.S. Department of Energy [DE-AC02-05CH1123]
- Pittsburgh Particle Physics, Astrophysics and Cosmology Center through the Samuel P. Langley PITT PACC Postdoctoral Fellowship
- NASA through the NASA Hubble Fellowship - Space Telescope Science Institute [HST-HF2-51441.001]
- NASA [NAS5-26555]
- NSF [AST-0808133, AST-0807630, AST-0806732, AST-1616414]
- DOE [DE-SC0020086]
- U.S. Department of Energy, Office of Science, Office of High Energy Physics [DE-SC0019022]
- US National Science Foundation (NSF) [AST 1516266, AST 1517563]
- U.S. Department of Energy Office of Science [DE-SC0015628]
- Office of Science, Office of High Energy Physics of the U.S. Department of Energy [DE-AC02-05CH1123]
- National Energy Research Scientific Computing Center, a DOE Office of Science User Facility
- U.S. National Science Foundation, Division of Astronomical Sciences [AST-0950945]
- Science and Technologies Facilities Council of the United Kingdom
- Gordon and Betty Moore Foundation
- Heising-Simons Foundation
- French Alternative Energies and Atomic EnergyCommission (CEA)
- National Council of Science and Technology of Mexico
- DESI Member Institutions
- Dark Energy Camera Legacy Survey (DECaLS) [2014B-0404]
- U.S. Department of Energy
- U.S. National Science Foundation
- Ministry of Science and Education of Spain
- Science and Technology Facilities Council of the United Kingdom
- Higher Education Funding Council for England
- National Center for Supercomputing Applications at the University of Illinois at Urbana Champaign
- Center for Cosmology and Astro-Particle Physics at the Ohio State University
- Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
- Financiadora de Estudos e Projetos
- Fundacao Carlos Chagas Filho de Amparo
- Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
- Deutsche Forschungsgemeinschaft
- Collaborating Institutions in the Dark Energy Survey
- University of California at Santa Cruz
- University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid
- DES-Brazil Consortium
- University of Edinburgh
- Eidgenossische Technische Hochschule (ETH) Zurich, Fermi National Accelerator Laboratory
- Ludwig-Maximilians Universitat Munchen
- University of Nottingham
- Ohio State University
- University of Portsmouth
- Texas AM University
- National Astronomical Observatories of China
- Chinese Academy of Sciences (the Strategic Priority Research Program 'The Emergence of Cosmological Structures') [XDB09000000]
- Special Fund for Astronomy from the Ministry of Finance
- External Cooperation Program of Chinese Academy of Sciences [114A11KYSB20160057]
- National Natural Science Foundation of China [11433005]
- National Aeronautics and Space Administration
- NASA LTSA grant [NNG04GC89G]
- Alfred P. Sloan Foundation
- Department ofEnergy, theNational Aeronautics and Space Administration
- Japanese Monbukagakusho
- Max Planck Society
- Center for High-Performance Computing at the University of Utah - STFC (UK)
- ARC (Australia)
- AAO
- ESO Very Large Telescope, under the 'Large Programme' [182.A-0886]
- Beijing-Arizona Sky Survey (BASS) [2015A-0801]
- Mayall z-band Legacy Survey (MzLS) [2016A-0453]
- Kavli Institute of Cosmological Physics at the University of Chicago
- Ministerio da Ciencia, Tecnologia e Inovacao
- Argonne National Laboratory
- University of Chicago
- University College London
- University of Illinois at Urbana-Champaign
- Institut de Ciencies de l'Espai (IEEC/CSIC)
- Institut de Fisica d'Altes Energies, Lawrence Berkeley National Laboratory
- University of Michigan
- National Optical Astronomy Observatory
- University of Pennsylvania
- SLAC National Accelerator Laboratory
- Stanford University
- University of Sussex
- U.S. Department of Energy (DOE) [DE-SC0015628, DE-SC0020086] Funding Source: U.S. Department of Energy (DOE)
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This study presents measurements of redshift-dependent clustering of a luminous red galaxy (LRG) sample selected from the Legacy Survey imaging data set, and fits the clustering signal using the halo occupation distribution (HOD) framework. The HOD parameters are found to show little evolution except at the highest redshifts. New photometric redshift estimates and a new algorithm for dividing irregular survey geometries are developed, as well as a technique for finding best-fitting parameters in Markov chain Monte Carlo fitting. The study also releases a catalog of accurate photometric redshifts for objects with z < 21 over more than 16,000 deg(2) of sky.
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 < z < 0.9 over 5655 deg(2). We have developed new photometric redshift (photo-z) estimates using the Legacy Survey DECam and WISE photometry, with sigma(NMAD) = 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 < 21 over more than 16 000 deg(2) of sky.
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