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 Ly-α 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.
@article{arxiv.2010.11280,
title = {Preliminary Target Selection for the DESI Quasar (QSO) Sample},
author = {Christophe Yèche and Nathalie Palanque-Delabrouille and Charles-Antoine Claveau and David D. Brooks and Edmond Chaussidon and Tamara M. Davis and Kyle S. Dawson and Arjun Dey and Yutong Duan and Sarah Eftekharzadeh and Daniel J. Eisenstein and Enrique Gaztañaga and Robert Kehoe and Martin Landriau and Dustin Lang and Michael E. Levi and Aaron M. Meisner and Adam D. Myers and Jeffrey A. Newman and Claire Poppett and Francisco Prada and Anand Raichoor and David J. Schlegel and Michael Schubnell and Ryan Staten and Gregory Tarlé and Rongpu Zhou},
journal= {arXiv preprint arXiv:2010.11280},
year = {2020}
}