Wang, Ben https://orcid.org/0000-0003-4877-1659
Zou, Jiaqi https://orcid.org/0000-0001-9189-0368
Cai, Zheng https://orcid.org/0000-0001-8467-6478
Prochaska, J. Xavier https://orcid.org/0000-0002-7738-6875
Sun, Zechang https://orcid.org/0000-0002-8246-7792
Ding, Jiani https://orcid.org/0000-0003-4651-8510
Font-Ribera, Andreu
Gonzalez, Alma
Herrera-Alcantar, Hiram K. https://orcid.org/0000-0002-9136-9609
Irsic, Vid https://orcid.org/0000-0002-5445-461X
Lin, Xiaojing https://orcid.org/0000-0001-6052-4234
Brooks, David https://orcid.org/0000-0002-8458-5047
Chabanier, Soléne https://orcid.org/0000-0002-5692-5243
Belsunce, Roger de
Palanque-Delabrouille, Nathalie https://orcid.org/0000-0003-3188-784X
Tarle, Gregory https://orcid.org/0000-0003-1704-0781
Zhou, Zhimin
Funding for this research was provided by:
the Direc, Office of Science, Office of High Energy Physics of the U.S Department of Energy (DE-AC02-05CH11231)
U.S National Science Foundation, Division of Astronomical Sciences (AST-0950945)
National Key R&D Program of China (2018YFA0404503)
National Science Foundation of China (12073014)
Program Ranmon y Cajal of the Spanish Ministry of Science and Innovation (RYC-2018-025210)
Article Title: Deep Learning of Dark Energy Spectroscopic Instrument Mock Spectra to Find Damped Lyα Systems
Journal Title: The Astrophysical Journal Supplement Series
Article Type: paper
Copyright Information: © 2022. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2021-10-06
Date Accepted: 2021-12-18
Online publication date: 2022-03-09