Preliminary Target Selection for the DESI Quasar (QSO) Sample
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
Abstract
The DESI survey will measure large-scale structure using quasars as direct\ntracers of dark matter in the redshift range $0.92.1$. We present two methods to select candidate\nquasars for DESI based on imaging in three optical ($g, r, z$) and two infrared\n($W1, W2$) bands. The first method uses traditional color cuts and the second\nutilizes a machine-learning algorithm.