Preliminary Target Selection for the DESI Quasar (QSO) Sample

DOI: 
10.3847/2515-5172/abc01a
Publication date: 
03/10/2020
Main author: 
Yèche, Christophe
IAA authors: 
Prada, Francisco
Authors: 
Yèche, Christophe;Palanque-Delabrouille, Nathalie;Claveau, Charles-Antoine;Brooks, David D.;Chaussidon, Edmond;Davis, Tamara M.;Dawson, Kyle S.;Dey, Arjun;Duan, Yutong;Eftekharzadeh, Sarah;Eisenstein, Daniel J.;Gaztañaga, Enrique;Kehoe, Robert;Landriau, Martin;Lang, Dustin;Levi, Michael E.;Meisner, Aaron M.;Myers, Adam D.;Newman, Jeffrey A.;Poppett, Claire;Prada, Francisco;Raichoor, Anand;Schlegel, David J.;Schubnell, Michael;Staten, Ryan;Tarlé, Gregory;Zhou, Rongpu
Journal: 
Research Notes of the American Astronomical Society
Refereed: 
No
Publication type: 
Note
Volume: 
4
Pages: 
179
Abstract: 
The DESI survey will measure large-scale structure using quasars as direct tracers of dark matter in the redshift range 0.9 < z < 2.1 and using quasar Lyα forests at z > 2.1. We present two methods to select candidate quasars for DESI based on imaging in three optical (g, r, z) and two infrared (W1, W2) bands. The first method uses traditional color cuts and the second utilizes a machine-learning algorithm.
Database: 
ADS
URL: 
https://ui.adsabs.harvard.edu/#abs/2020RNAAS...4..179Y/abstract
ADS Bibcode: 
2020RNAAS...4..179Y
Keywords: 
Quasars;Redshift surveys;Large-scale structure of the universe;1319;1378;902;Astrophysics - Cosmology and Nongalactic Astrophysics