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  4. Clustering of quasars in SDSS-IV eBOSS: study of potential systematics and bias determination
 
research article

Clustering of quasars in SDSS-IV eBOSS: study of potential systematics and bias determination

Laurent, Pierre
•
Eftekharzadeh, Sarah
•
Le Goff, Jean-Marc
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2017
Journal Of Cosmology And Astroparticle Physics

We study the first year of the eBOSS quasar sample in the redshift range 0.9 < z < 2.2 which includes 68,772 homogeneously selected quasars. We show that the main source of systematics in the evaluation of the correlation function arises from inhomogeneities in the quasar target selection, particularly related to the extinction and depth of the imaging data used for targeting. We propose a weighting scheme that mitigates these systematics. We measure the quasar correlation function and provide the most accurate measurement to date of the quasar bias in this redshift range, b(Q) = 2.45 +/- 0.05 at (z) over bar = 1.55, together with its evolution with redshift. We use this information to determine the minimum mass of the halo hosting the quasars and the characteristic halo mass, which we find to be both independent of redshift within statistical error. Using a recently-measured quasar-luminosity-function we also determine the quasar duty cycle. The size of this first year sample is insufficient to detect any luminosity dependence to quasar clustering and this issue should be further studied with the final similar to 500,000 eBOSS quasar sample.

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Type
research article
DOI
10.1088/1475-7516/2017/07/017
Web of Science ID

WOS:000406420500035

Author(s)
Laurent, Pierre
Eftekharzadeh, Sarah
Le Goff, Jean-Marc
Myers, Adam
Burtin, Etienne
White, Martin
Ross, Ashley J.
Tinker, Jeremy
Tojeiro, Rita
Bautista, Julian
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Date Issued

2017

Publisher

Iop Publishing Ltd

Published in
Journal Of Cosmology And Astroparticle Physics
Issue

7

Start page

017

Subjects

galaxy clustering

•

redshift surveys

•

cosmological parameters from LSS

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASTRO  
Available on Infoscience
September 5, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/140240
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