论文标题
Desi Quasar（QSO）样品的初步目标选择
Preliminary Target Selection for the DESI Quasar (QSO) Sample
论文作者
论文摘要
DESI调查将使用类星体作为红色速度范围内的暗物质直接示踪$ 0.9 <z <2.1 $的直接示踪剂测量大规模结构，并使用Quasar ly- $ ly-$α$ forests $ z> 2.1 $。我们提出了两种方法，可以根据三个光学（$ g，r，z $）和两个红外线（$ w1，w2 $）频段选择DESI的候选类星体。第一种方法使用传统的颜色切割，第二种方法利用了机器学习算法。
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.
