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

Abstract

In this paper, we present measurements of the redshift-dependent clustering of a DESI-like luminous red galaxy (LRG) sample selected from the Legacy Survey imaging dataset, 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 sq. degrees. 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 while incorporating redshift uncertainties. We present a novel algorithm for dividing irregular survey geometries into equal-area patches for jackknife resampling. For a 5-parameter HOD model fit using the MultiDark halo catalog, 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 MCMC fitting using stochastic likelihood estimates resulting from applying HOD methods to N-body catalogs, and present a new technique for finding best-fit parameters in this situation. Accompanying this paper we have released the PRLS (Photometric Redshiftsmore » for the Legacy Surveys) catalog of photo-z’s obtained by applying the methods used in this work to the full Legacy Survey Data Release 8 dataset. This catalog provides accurate photometric redshifts for objects with z < 21 over more than 16,000 square degrees of sky.« less

Authors:
ORCiD logo [1];  [2]; ORCiD logo [3];  [4];  [5];  [6];  [7]; ORCiD logo [2];  [8]; ORCiD logo [9];  [10];  [10];  [11];  [12]
  1. Department of Physics and Astronomy, University of Pittsburgh, 3941 O’Hara Street, Pittsburgh, PA 15260, USA, Pittsburgh Particle Physics, Astrophysics, and Cosmology Center (PITT PACC), USA, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
  2. Department of Physics and Astronomy, University of Pittsburgh, 3941 O’Hara Street, Pittsburgh, PA 15260, USA, Pittsburgh Particle Physics, Astrophysics, and Cosmology Center (PITT PACC), USA
  3. Department of Physics and Astronomy, University of Pittsburgh, 3941 O’Hara Street, Pittsburgh, PA 15260, USA, Pittsburgh Particle Physics, Astrophysics, and Cosmology Center (PITT PACC), USA, Department of Physics and Astronomy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
  4. NSF’s National Optical-Infrared Astronomy Research Laboratory, 950 N. Cherry Avenue, Tucson, AZ 85719, USA
  5. Department of Physics and Astronomy, Siena College, 515 Loudon Road, Loudonville, NY 12211, USA
  6. Department of Physics & Astronomy, University of Wyoming, 1000 E. University, Dept. 3905, Laramie, WY 82071, USA
  7. Infrared Processing and Analysis Center, California Institute of Technology, MC 100-22, Pasadena, CA 91125, USA
  8. Department of Physics & Astronomy, University College London, Gower Street, London WC1E 6BT, UK
  9. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA, Physics Department, Boston University, 590 Commonwealth Avenue, Boston, MA 02215, USA
  10. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
  11. Instituto de Astrofísica de Andalucía (CSIC), Glorieta de la Astronomía, s/n, E-18008 Granada, Spain
  12. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of Wyoming, Laramie, WY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF)
OSTI Identifier:
1834235
Alternate Identifier(s):
OSTI ID: 1762226; OSTI ID: 1787339
Grant/Contract Number:  
SC0007914; SC0020086; AC02-05CH11231; SC0019022; SC0015628; HST-HF2- 51441.001; NAS5-26555; AST-616414; AST 1516266; AST-1517563; AST-0950945
Resource Type:
Published Article
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 501 Journal Issue: 3; Journal ID: ISSN 0035-8711
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; galaxies: haloes; galaxies: evolution; large-scale structure of Universe; galaxies: distances and redshifts

Citation Formats

Zhou, Rongpu, Newman, Jeffrey A., Mao, Yao-Yuan, Meisner, Aaron, Moustakas, John, Myers, Adam D., Prakash, Abhishek, Zentner, Andrew R., Brooks, David, Duan, Yutong, Landriau, Martin, Levi, Michael E., Prada, Francisco, and Tarle, Gregory. The clustering of DESI-like luminous red galaxies using photometric redshifts. United Kingdom: N. p., 2020. Web. doi:10.1093/mnras/staa3764.
Zhou, Rongpu, Newman, Jeffrey A., Mao, Yao-Yuan, Meisner, Aaron, Moustakas, John, Myers, Adam D., Prakash, Abhishek, Zentner, Andrew R., Brooks, David, Duan, Yutong, Landriau, Martin, Levi, Michael E., Prada, Francisco, & Tarle, Gregory. The clustering of DESI-like luminous red galaxies using photometric redshifts. United Kingdom. https://doi.org/10.1093/mnras/staa3764
Zhou, Rongpu, Newman, Jeffrey A., Mao, Yao-Yuan, Meisner, Aaron, Moustakas, John, Myers, Adam D., Prakash, Abhishek, Zentner, Andrew R., Brooks, David, Duan, Yutong, Landriau, Martin, Levi, Michael E., Prada, Francisco, and Tarle, Gregory. Fri . "The clustering of DESI-like luminous red galaxies using photometric redshifts". United Kingdom. https://doi.org/10.1093/mnras/staa3764.
@article{osti_1834235,
title = {The clustering of DESI-like luminous red galaxies using photometric redshifts},
author = {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 Levi, Michael E. and Prada, Francisco and Tarle, Gregory},
abstractNote = {In this paper, we present measurements of the redshift-dependent clustering of a DESI-like luminous red galaxy (LRG) sample selected from the Legacy Survey imaging dataset, 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 sq. degrees. 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 while incorporating redshift uncertainties. We present a novel algorithm for dividing irregular survey geometries into equal-area patches for jackknife resampling. For a 5-parameter HOD model fit using the MultiDark halo catalog, 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 MCMC fitting using stochastic likelihood estimates resulting from applying HOD methods to N-body catalogs, and present a new technique for finding best-fit parameters in this situation. Accompanying this paper we have released the PRLS (Photometric Redshifts for the Legacy Surveys) catalog of photo-z’s obtained by applying the methods used in this work to the full Legacy Survey Data Release 8 dataset. This catalog provides accurate photometric redshifts for objects with z < 21 over more than 16,000 square degrees of sky.},
doi = {10.1093/mnras/staa3764},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 3,
volume = 501,
place = {United Kingdom},
year = {Fri Dec 04 00:00:00 EST 2020},
month = {Fri Dec 04 00:00:00 EST 2020}
}

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