Imaging Systematics and Clustering of DESI Main Targets
Abstract
We evaluate the impact of imaging systematics on the clustering of luminous red galaxies (LRG), emission-line galaxies (ELG) and quasars (QSO) targeted for the upcoming Dark Energy Spectroscopic Instrument (DESI) survey. Using Data Release 7 of the DECam Legacy Survey, we study the effects of astrophysical foregrounds, stellar contamination, differences between north galactic cap and south galactic cap measurements, and variations in imaging depth, stellar density, galactic extinction, seeing, airmass, sky brightness, and exposure time before presenting survey masks and weights to mitigate these effects. With our sanitized samples in hand, we conduct a preliminary analysis of the clustering amplitude and evolution of the DESI main targets. From measurements of the angular correlation functions, we determine power law fits Mpc, for LRGs and Mpc, for ELGs. Additionally, from the angular power spectra, we measure the linear biases and model the scale dependent biases in the weakly nonlinear regime. Both sets of clustering measurements show good agreement with survey requirements for LRGs and ELGs, attesting that these samples will enable DESI to achieve precise cosmological constraints. We also present clustering as a function of magnitude, use cross-correlations with external spectroscopy to infer and measure clustering as a function of luminosity, and probe higher order clustering statistics through counts-in-cells moments.
Keywords
Cite
@article{arxiv.1911.05714,
title = {Imaging Systematics and Clustering of DESI Main Targets},
author = {Ellie Kitanidis and Martin White and Yu Feng and David Schlegel and Julien Guy and Arjun Dey and Martin Landriau and David Brooks and Michael Levi and John Moustakas and Francisco Prada and Gregory Tarle and Benjamin Alan Weaver},
journal= {arXiv preprint arXiv:1911.05714},
year = {2020}
}
Comments
31 pages, 29 figures, 11 tables; final version accepted for publication