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The Clustering of DESI-like Luminous Red Galaxies Using Photometric Redshifts

Zhou, Rongpu and Newman, Jeffrey A. and Mao, Yao-Yuan and Meisner, Aaron and Moustakas, John and Myers, Adam D. and Prakash, Abhishek and Zentner, Andrew R. and Brooks, David and Duan, Yutong and Landriau, Martin and Levine, Michael E. and Prada, Francisco and Tarle, Gregory (2021) The Clustering of DESI-like Luminous Red Galaxies Using Photometric Redshifts. Monthly Notices of the Royal Astronomical Society, 501 (3). pp. 3309-3331. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20210401-143418738

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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 < z < 0.9 over 5655 deg². We have developed new photometric redshift (photo-z) estimates using the Legacy Survey DECam and WISE photometry, with σ_(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 deg² of sky.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1093/mnras/staa3764DOIArticle
https://arxiv.org/abs/2001.06018arXivDiscussion Paper
ORCID:
AuthorORCID
Zhou, Rongpu0000-0001-5381-4372
Newman, Jeffrey A.0000-0001-8684-2222
Mao, Yao-Yuan0000-0002-1200-0820
Meisner, Aaron0000-0002-1125-7384
Prakash, Abhishek0000-0003-4451-4444
Zentner, Andrew R.0000-0002-6443-7186
Duan, Yutong0000-0002-2611-0895
Additional Information:© 2020 The Author(s). Published by Oxford University Press on behalf of 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 2020 November 30. Received 2020 November 30; in original form 2020 January 17. Published: 04 December 2020. The authors would like to thank Hee-Jong Seo, Jeremy Tinker, and Gustavo Niz for their feedback on the draft and useful discussions. RZ and JAN were supported by the U.S. Department of Energy Office of Science, Office of High Energy Physics via grant DE-SC0007914. RZ also is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under Contract No. DE-AC02-05CH1123. Support for YYM was provided by the Pittsburgh Particle Physics, Astrophysics and Cosmology Center through the Samuel P. Langley PITT PACC Postdoctoral Fellowship, and by NASA through the NASA Hubble Fellowship grant no. HST-HF2-51441.001 awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. JM gratefully acknowledges support from NSF grant AST- 1616414 and DOE grant DE-SC0020086. ADM was supported by the U.S. Department of Energy, Office of Science, Office of High Energy Physics, under Award Number DE-SC0019022. ARZ was funded by the US National Science Foundation (NSF) through grants AST 1516266 and AST 1517563. DYT thanks Prof. Steve Ahlen for his mentorship and support and acknowledges the generous support by U.S. Department of Energy Office of Science, grant No. DE-SC0015628. This research is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under Contract No. DE-AC02-05CH1123, and by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract; additional support for DESI is provided by the U.S. National Science Foundation, Division of Astronomical Sciences under Contract No. AST-0950945 to the National Optical Astronomy Observatory; the Science and Technologies Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Science and Technology of Mexico, and by the DESI Member Institutions. The authors are honoured to be permitted to conduct astronomical research on Iolkam Du’ag (Kitt Peak), a mountain with particular significance to the Tohono O’odham Nation. The Legacy Surveys consist of three individual and complementary projects: the Dark Energy Camera Legacy Survey (DECaLS; NOAO Proposal ID # 2014B-0404; PIs: David Schlegel and Arjun Dey), the Beijing-Arizona Sky Survey (BASS; NOAO Proposal ID # 2015A-0801; PIs: Zhou Xu and Xiaohui Fan), and the Mayall z-band Legacy Survey (MzLS; NOAO Proposal ID # 2016A-0453; PI: Arjun Dey). DECaLS, BASS, and MzLS together include data obtained, respectively, at the Blanco telescope, Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory (NOAO); the Bok telescope, Steward Observatory, University of Arizona; and the Mayall telescope, Kitt Peak National Observatory, NOAO. The Legacy Surveys project is honoured to be permitted to conduct astronomical research on Iolkam Du’ag (Kitt Peak), a mountain with particular significance to the Tohono O’odham Nation. NOAO is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. This project used data obtained with the Dark Energy Camera (DECam), which was constructed by the Dark Energy Survey (DES) collaboration. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundacao Carlos Chagas Filho de Amparo, Financiadora de Estudos e Projetos, Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico and the Ministerio da Ciencia, Tecnologia e Inovacao, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenossische Technische Hochschule (ETH) Zurich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciencies de l’Espai (IEEC/CSIC), the Institut de Fisica d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universitat Munchen and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, the Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, and Texas A&M University. BASS is a key project of the Telescope Access Program (TAP), which has been funded by the National Astronomical Observatories of China, the Chinese Academy of Sciences (the Strategic Priority Research Program ‘The Emergence of Cosmological Structures’ Grant # XDB09000000), and the Special Fund for Astronomy from the Ministry of Finance. The BASS is also supported by the External Cooperation Program of Chinese Academy of Sciences (Grant # 114A11KYSB20160057), and National Natural Science Foundation of China (Grant # 11433005). The Legacy Survey team makes use of data products from the Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE), which is a project of the Jet Propulsion Laboratory/California Institute of Technology. NEOWISE is funded by the National Aeronautics and Space Administration. The Legacy Surveys imaging of the DESI footprint is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under Contract No. DE-AC02-05CH1123, by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract; and by the U.S. National Science Foundation, Division of Astronomical Sciences under Contract No. AST-0950945 to NOAO. Funding for the DEEP2 Galaxy Redshift Survey has been provided by NSF grants AST-95-09298, AST-0071048, AST-0507428, and AST-0507483 as well as NASA LTSA grant NNG04GC89G. Funding for the DEEP3 Galaxy Redshift Survey has been provided by NSF grants AST-0808133, AST-0807630, and AST-0806732. Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the U.S. Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. Funding for the Sloan Digital Sky Survey IV has been provided by the Alfred P. Sloan Foundation, the U.S. Department of Energy Office of Science, and the Participating Institutions. SDSS-IV acknowledges support and resources from the Center for High-Performance Computing at the University of Utah. GAMA is a joint European-Australasian project based around a spectroscopic campaign using the Anglo-Australian Telescope. The GAMA input catalogue is based on data taken from the Sloan Digital Sky Survey and the UKIRT Infrared Deep Sky Survey. Complementary imaging of the GAMA regions is being obtained by a number of independent survey programmes including GALEX MIS, VST KiDS, VISTA VIKING, WISE, Herschel-ATLAS, GMRT and ASKAP providing UV to radio coverage. GAMA is funded by the STFC (UK), the ARC (Australia), the AAO, and the participating institutions. The GAMA website is http://www.gama-survey.org/. This paper uses data from the VIMOS Public Extragalactic Redshift Survey (VIPERS). VIPERS has been performed using the ESO Very Large Telescope, under the ‘Large Programme’ 182.A-0886. The participating institutions and funding agencies are listed at http://vipers.inaf.it. This research uses data from the VIMOS VLT Deep Survey, obtained from the VVDS database operated by Cesam, Laboratoire d’Astrophysique de Marseille, France. Data Availability: The LRG catalogue and the photometric redshifts are derived from the publicly available Legacy Surveys imaging data. The LRG catalogue, masks, and the specific version of the photo-z’s used in the clustering analysis will be shared on reasonable request to the corresponding author.
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
Department of Energy (DOE)DE-SC0007914
Department of Energy (DOE)DE-AC02-05CH1123
Pittsburgh Particle Physics, Astrophysics and Cosmology CenterUNSPECIFIED
NASA Hubble FellowshipHST-HF2-51441.001
NASANAS5-26555
NSFAST-1616414
Department of Energy (DOE)DE-SC0020086
Department of Energy (DOE)DE-SC0019022
NSFAST-1516266
NSFAST-1517563
Department of Energy (DOE)DE-SC0015628
NSFAST-0950945
National Optical Astronomy Observatory (NOAO)UNSPECIFIED
Science and Technologies Facilities Council (STFC)UNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
Heising-Simons FoundationUNSPECIFIED
Commissariat à l’Energie Atomique (CEA)UNSPECIFIED
Consejo Nacional de Ciencia y Tecnología (CONACYT)UNSPECIFIED
DESI Member InstitutionsUNSPECIFIED
Chinese Academy of SciencesXDB09000000
Chinese Academy of Sciences114A11KYSB20160057
National Natural Science Foundation of China11433005
NSFAST-95-09298
NSFAST-0071048
NSFAST-0507428
NSFAST-0507483
NASANNG04GC89G
NSFAST-0808133
NSFAST-0807630
NSFAST-0806732
Alfred P. Sloan FoundationUNSPECIFIED
Participating InstitutionsUNSPECIFIED
MonbukagakushoUNSPECIFIED
Max Planck SocietyUNSPECIFIED
Higher Education Funding Council for EnglandUNSPECIFIED
Subject Keywords:galaxies: distances and redshifts – galaxies: evolution – galaxies: haloes – large-scale structure of Universe
Issue or Number:3
Record Number:CaltechAUTHORS:20210401-143418738
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210401-143418738
Official Citation:Rongpu Zhou, Jeffrey A Newman, Yao-Yuan Mao, Aaron Meisner, John Moustakas, Adam D Myers, Abhishek Prakash, Andrew R Zentner, David Brooks, Yutong Duan, Martin Landriau, Michael E Levi, Francisco Prada, Gregory Tarle, The clustering of DESI-like luminous red galaxies using photometric redshifts, Monthly Notices of the Royal Astronomical Society, Volume 501, Issue 3, March 2021, Pages 3309–3331, https://doi.org/10.1093/mnras/staa3764
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108609
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:02 Apr 2021 18:45
Last Modified:02 Apr 2021 18:45

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