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 $\bar
z=1.55$, 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 $\sim$500,000 eBOSS quasar
sample.
Description
[1705.04718] Clustering of quasars in SDSS-IV eBOSS : study of potential systematics and bias determination
%0 Generic
%1 laurent2017clustering
%A Laurent, Pierre
%A Eftekharzadeh, Sarah
%A Goff, Jean-Marc Le
%A Myers, Adam
%A Burtin, Etienne
%A White, Martin
%A Ross, Ashley
%A Tinker, Jeremy
%A Tojeiro, Rita
%A Bautista, Julian
%A Comparat, Johan
%A Bourboux, Hélion du Mas des
%A Kneib, Jean-Paul
%A McGreer, Ian D.
%A Palanque-Delabrouille, Nathalie
%A Percival, Will J.
%A Prada, Francisco
%A Rossi, Graziano
%A Schneider, Donald P.
%A Strauss, Micheal
%A Weinberg, David
%A Yèche, Christophe
%A Zarrouk, Pauline
%A Zhao, Gong-Bo
%D 2017
%K clustering halo mass quasar
%T Clustering of quasars in SDSS-IV eBOSS : study of potential systematics
and bias determination
%U http://arxiv.org/abs/1705.04718
%X 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 $\bar
z=1.55$, 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 $\sim$500,000 eBOSS quasar
sample.
@misc{laurent2017clustering,
abstract = {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, $b_Q = 2.45 \pm 0.05$ at $\bar
z=1.55$, 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 $\sim$500,000 eBOSS quasar
sample.},
added-at = {2017-05-16T10:37:06.000+0200},
author = {Laurent, Pierre and Eftekharzadeh, Sarah and Goff, Jean-Marc Le and Myers, Adam and Burtin, Etienne and White, Martin and Ross, Ashley and Tinker, Jeremy and Tojeiro, Rita and Bautista, Julian and Comparat, Johan and Bourboux, Hélion du Mas des and Kneib, Jean-Paul and McGreer, Ian D. and Palanque-Delabrouille, Nathalie and Percival, Will J. and Prada, Francisco and Rossi, Graziano and Schneider, Donald P. and Strauss, Micheal and Weinberg, David and Yèche, Christophe and Zarrouk, Pauline and Zhao, Gong-Bo},
biburl = {https://www.bibsonomy.org/bibtex/2c6da93ce00bbcba222be7562a649ada1/miki},
description = {[1705.04718] Clustering of quasars in SDSS-IV eBOSS : study of potential systematics and bias determination},
interhash = {84d4958a72d53712e9bfef6e3e27115f},
intrahash = {c6da93ce00bbcba222be7562a649ada1},
keywords = {clustering halo mass quasar},
note = {cite arxiv:1705.04718},
timestamp = {2017-05-16T10:37:06.000+0200},
title = {Clustering of quasars in SDSS-IV eBOSS : study of potential systematics
and bias determination},
url = {http://arxiv.org/abs/1705.04718},
year = 2017
}