Accurately Estimating Redshifts from CSST Slitless Spectroscopic Survey Using Deep Learning

Accurately Estimating Redshifts from CSST Slitless Spectroscopic Survey Using Deep Learning

Chinese Space Station Telescope (CSST) has the capability to conduct a slitless spectroscopic survey simultaneously with a photometric survey. The spectroscopic survey will measure slitless spectra, potentially providing more accurate estimations of galaxy properties, particularly redshifts, compare...

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Bibliographic Details
Main Authors: Xingchen Zhou, Yan Gong, Xin Zhang, Nan Li, Xian-Min Meng, Xuelei Chen, Run Wen, Yunkun Han, Hu Zou, Xian Zhong Zheng, Xiaohu Yang, Hong Guo, Pengjie Zhang
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Galaxies
Cosmology
Online Access:https://doi.org/10.3847/1538-4357/ad8bbf
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