- 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
- et al.
The DESI survey will measure large-scale structure using quasars as direct
tracers of dark matter in the redshift range $0.92.1$. 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.