Dissemin is shutting down on January 1st, 2025

Published in

arXiv, 2022

DOI: 10.48550/arxiv.2208.08516

American Astronomical Society, Astrophysical Journal, 1(943), p. 68, 2023

DOI: 10.3847/1538-4357/aca5fa

Links

Tools

Export citation

Search in Google Scholar

The DESI Survey Validation: Results from Visual Inspection of Bright Galaxies, Luminous Red Galaxies, and Emission-line Galaxies

Journal article published in 2023 by S. P. Ahlen ORCID, A. de la Macorra, Ting-Wen Lan ORCID, R. Tojeiro, J. Xavier Prochaska ORCID, E. Armengaud ORCID, T. M. Davis ORCID, J. Xavier Prochaska, David M. Alexander ORCID, Christophe Yèche ORCID, A. Raichoor ORCID, Rongpu Zhou ORCID, Christophe Yeche, C. Balland, S. BenZvi ORCID and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown

Abstract

Abstract The Dark Energy Spectroscopic Instrument (DESI) Survey has obtained a set of spectroscopic measurements of galaxies to validate the final survey design and target selections. To assist in these tasks, we visually inspect DESI spectra of approximately 2500 bright galaxies, 3500 luminous red galaxies (LRGs), and 10,000 emission-line galaxies (ELGs) to obtain robust redshift identifications. We then utilize the visually inspected redshift information to characterize the performance of the DESI operation. Based on the visual inspection (VI) catalogs, our results show that the final survey design yields samples of bright galaxies, LRGs, and ELGs with purity greater than 99%. Moreover, we demonstrate that the precision of the redshift measurements is approximately 10 km s−1 for bright galaxies and ELGs and approximately 40 km s−1 for LRGs. The average redshift accuracy is within 10 km s−1 for the three types of galaxies. The VI process also helps improve the quality of the DESI data by identifying spurious spectral features introduced by the pipeline. Finally, we show examples of unexpected real astronomical objects, such as Lyα emitters and strong lensing candidates, identified by VI. These results demonstrate the importance and utility of visually inspecting data from incoming and upcoming surveys, especially during their early operation phases.