Zhou, Xingchen
Gong, Yan https://orcid.org/0000-0003-0709-0101
Zhang, Xin
Li, Nan
Meng, Xian-Min
Chen, Xuelei https://orcid.org/0000-0001-6475-8863
Wen, Run https://orcid.org/0000-0002-8705-6327
Han, Yunkun https://orcid.org/0000-0002-2547-0434
Zou, Hu https://orcid.org/0000-0002-6684-3997
Zheng, Xian Zhong https://orcid.org/0000-0003-3728-9912
Yang, Xiaohu https://orcid.org/0000-0003-3997-4606
Guo, Hong https://orcid.org/0000-0003-4936-8247
Zhang, Pengjie
Funding for this research was provided by:
MOST ∣ National Key Research and Development Program of China (2022YFF0503404)
Article Title: Accurately Estimating Redshifts from CSST Slitless Spectroscopic Survey Using Deep Learning
Journal Title: The Astrophysical Journal
Article Type: paper
Copyright Information: © 2024. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2024-07-18
Date Accepted: 2024-10-24
Online publication date: 2024-12-03