Preliminary Target Selection for the DESI Quasar (QSO) Sample
Skip to main content
Open Access Publications from the University of California

Preliminary Target Selection for the DESI Quasar (QSO) Sample

  • Author(s): 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.

Main Content
Current View