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Title: The Clustering of Luminous Red Galaxies at z ∼ 0.7 from EBOSS and BOSS Data

Journal Article · · Astrophysical Journal
; ; ;  [1];  [2];  [3]; ;  [4]; ; ;  [5]; ; ;  [6];  [7]; ;  [8];  [9];  [10]
  1. Center for Cosmology and Particle Physics, Department of Physics, New York University, 4 Washington Place, New York, NY 10003 (United States)
  2. Department of Physics and Astronomy, Ohio University, 251B Clippinger Labs, Athens, OH 45701 (United States)
  3. Institute of Cosmology and Gravitation, Dennis Sciama Building, University of Portsmouth, Portsmouth, PO1 3FX (United Kingdom)
  4. Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, CEP 05314-970, São Paulo, SP (Brazil)
  5. Laboratório Interinstitucional de e-Astronomia, 77 Rua Gal. José Cristino, Rio de Janeiro, RJ—20921-400 (Brazil)
  6. Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112 (United States)
  7. Instituto de Física Teórica UAM/CSIC, E-28049 Madrid (Spain)
  8. Department of Physics and Astronomy and PITT PACC, University of Pittsburgh, Pittsburgh, PA 15260 (United States)
  9. Departamento de Física, Facultad de Ciencias, Universidad de La Serena, Cisternas 1200, La Serena (Chile)
  10. Department of Astronomy and Astrophysics, The Pennsylvania State University, University Park, PA 16802 (United States)

We present the first scientific results from the luminous red galaxy (LRG) sample of the extended Baryon Oscillation Spectroscopic Survey (eBOSS) combined with the high-redshift galaxies of the previous BOSS sample. We measure the small- and intermediate-scale clustering from a sample of more than 97,000 galaxies in the redshift range 0.6<0.9. We interpret these measurements in the framework of the Halo Occupation Distribution. The bias of this sample of LRGs is 2.30 ± 0.03, with a satellite fraction of 13% ± 3% and a mean halo mass of 2.5×10{sup 13} h{sup −1} M{sub ⊙}. These results are consistent with expectations, demonstrating that these LRGs will be reliable tracers of large-scale structure at z∼0.7. The galaxy bias implies a scatter of luminosity at fixed halo mass, σ{sub logL}, of 0.19 dex. Using the clustering of massive galaxies from BOSS CMASS, BOSS LOWZ, and SDSS, we find that σ{sub logL}=0.19 is consistent with observations over the full redshift range that these samples cover. The addition of eBOSS to previous surveys allows the investigation of the evolution of massive galaxies over the past ∼7 Gyr.

OSTI ID:
22875695
Journal Information:
Astrophysical Journal, Vol. 848, Issue 2; Other Information: Country of input: International Atomic Energy Agency (IAEA); ISSN 0004-637X
Country of Publication:
United States
Language:
English

Cited By (10)

Linear bias forecasts for emission line cosmological surveys journal May 2019
The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 LRG sample: structure growth rate measurement from the anisotropic LRG correlation function in the redshift range 0.6 < z < 1.0 journal December 2019
Decorrelating the errors of the galaxy correlation function with compact transformation matrices journal March 2019
The SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations at Redshift of 0.72 with the DR14 Luminous Red Galaxy Sample journal August 2018
The Circumgalactic Medium of eBOSS Emission Line Galaxies: Signatures of Galactic Outflows in Gas Distribution and Kinematics journal October 2018
The Aemulus Project. III. Emulation of the Galaxy Correlation Function journal March 2019
The Extended Baryon Oscillation Spectroscopic Survey: Measuring the Cross-correlation between the Mg ii Flux Transmission Field and Quasars and Galaxies at z = 0.59 journal June 2019
The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations at redshift of 0.72 with the DR14 Luminous Red Galaxy Sample text January 2017
The Aemulus Project III: Emulation of the Galaxy Correlation Function text January 2018
Decorrelating the errors of the galaxy correlation function with compact transformation matrices text January 2019

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