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Investigating Emission Line Galaxy Surveys with the Sloan Digital Sky Survey Telescope

Authors :
Comparat, Johan
Kneib, Jean-Paul
Escoffier, Stephanie
Zoubian, Julien
Ealet, Anne
Lamareille, Fabrice
Mostek, N.
Steele, Oliver
Aubourg, Eric
Bailey, Stephen
Bolton, Adam S.
Brownstein, Joel
Dawson, Kyle
Ge, Jian
Ilbert, Olivier
Leauthaud, Alexie
Maraston, Claudia
Percival, Will
Ross, Nicholas P.
Schimd, Carlo
Schlegel, David J.
Schneider, Donald P.
Thomas, Daniel
Tinker, Jeremy L.
Weaver, Benjamin A.
Source :
MNRAS 428 (January 11, 2013) 1498-1517
Publication Year :
2012

Abstract

The Baryon Acoustic Oscillation (BAO) feature in the power spectrum of galaxies provides a standard ruler to probe the accelerated expansion of the Universe. The current surveys covering a comoving volume sufficient to unveil the BAO scale are limited to redshift $z \lesssim 0.7$. In this paper, we study several galaxy selection schemes aiming at building an emission-line-galaxy (ELG) sample in the redshift range $0.6<z<1.7$, that would be suitable for future BAO studies using the Baryonic Oscillation Spectroscopic Survey (BOSS) spectrograph on the Sloan Digital Sky Survey (SDSS) telescope. We explore two different colour selections using both the SDSS and the Canada France Hawai Telescope Legacy Survey (CFHT-LS) photometry in the u, g, r, and i bands and evaluate their performance selecting luminous ELG. From about 2,000 ELG, we identified a selection scheme that has a 75 percent redshift measurement efficiency. This result confirms the feasibility of massive ELG surveys using the BOSS spectrograph on the SDSS telescope for a BAO detection at redshift $z\sim1$, in particular the proposed eBOSS experiment, which plans to use the SDSS telescope to combine the use of the BAO ruler with redshift space distortions using emission line galaxies and quasars in the redshift $0.6<z<2.2$.<br />Comment: 21 pages, 17 figures

Details

Database :
arXiv
Journal :
MNRAS 428 (January 11, 2013) 1498-1517
Publication Type :
Report
Accession number :
edsarx.1207.4321
Document Type :
Working Paper
Full Text :
https://doi.org/10.1093/mnras/sts127