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

@article{Laurent2017ClusteringOQ,
  title={Clustering of quasars in SDSS-IV eBOSS: study of potential systematics and bias determination},
  author={Pierre Laurent and Sarah Eftekharzadeh and Jean-Marc Le Goff and Adam D. Myers and Etienne Burtin and Martin White and Ashley J. Ross and Jeremy L Tinker and Rita Tojeiro and Julian E. Bautista and Johan Comparat and H{\'e}lion du Mas des Bourboux and Jean-Paul Kneib and Ian D. McGreer and Nathalie Palanque-Delabrouille and W. J. Percival and Francisco Prada and Graziano Rossi and Donald P. Schneider and Micheal Strauss and David Weinberg and Ch. Y{\`e}che and Pauline Zarrouk and Gong-Bo Zhao},
  journal={Journal of Cosmology and Astroparticle Physics},
  year={2017},
  volume={2017},
  pages={017-017}
}
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… Expand
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