The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: anisotropic clustering analysis in configuration space

Jiamin Hou*, Ariel G. Sánchez, Román Scoccimarro, Salvador Salazar-Albornoz, Etienne Burtin, Héctor Gil-Marín, Will J. Percival, Rossana Ruggeri, Pauline Zarrouk, Gong Bo Zhao, Julian Bautista, Jonathan Brinkmann, Joel R. Brownstein, Kyle S. Dawson, N. Chandrachani Devi, Adam D. Myers, Salman Habib, Katrin Heitmann, Rita Tojeiro, Graziano RossiDonald P. Schneider, Hee Jong Seo, Yuting Wang

*Corresponding author for this work

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Abstract

We explore the cosmological implications of anisotropic clustering measurements of the quasar sample from Data Release 14 (DR14) of the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey (eBOSS) in configuration space. The ~147 000 quasar sample observed by eBOSS offers a direct tracer of the density field and bridges the gap of previous baryon acoustic oscillation measurements between redshift 0.8 < z < 2.2. By analysing the two-point correlation function characterized by clustering wedges ξwi (s) and multipoles ξℓ(s), we measure the angular diameter distance, Hubble parameter, and cosmic structure growth rate. We define a systematic error budget for our measurements based on the analysis of N-body simulations and mock catalogues. Based on the DR14 large-scale structure quasar sample at the effective redshift zeff = 1.52, we find the growth rate of cosmic structure fσ8(zeff) = 0.396 ± 0.079, and the geometric parameters DV(z)/rd = 26.47 ± 1.23, and FAP(z) = 2.53 ± 0.22, where the uncertainties include both statistical and systematic errors. These values are in excellent agreement with the best-fitting standard Λ cold dark matter model to the latest cosmic microwave background data from Planck.

Original languageEnglish
Pages (from-to)2521-2534
Number of pages14
JournalMonthly Notices of the Royal Astronomical Society
Volume480
Issue number2
Early online date24 Jul 2018
DOIs
Publication statusPublished - 1 Oct 2018

Keywords

  • Cosmology
  • Data analysis
  • Large-scale structure of Universe
  • Quasars

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