7 papers
Comparative analysis of missing data imputation methods for CSST survey: Impact on photometric redshift estimation performance
Ling Wang, Zhu Chen, Zhijian Luo +42
Improving the accuracy of photometric redshifts (photo-) is essential for reliable statistical studies of cosmology and galaxy evolution. However, missing photometric bands are…
CSST-PSFNet: A Point Spread Function Reconstruction Model for the CSST Based on Deep Learning
Peipei Wang, Peng Wei, Chao Liu +3
This paper presents CSST-PSFNet, a deep learning method for high-fidelity point spread function (PSF) reconstruction developed for the Chinese Space Station Survey Telescope (CSST)…
Evaluating the spatial intra-pixel sensitivity variations and influence based on space observation
Peipei Wang, Zihuang Cao, Chao Liu +3
Intra-pixel sensitivity variations (IPSVs) in charge-coupled devices (CCDs) and complementary metal-oxide-semiconductor (CMOS) detectors constitute a significant source of astromet…
Selecting Optimal Stellar Calibration Fields for the CSST Imaging Survey
Chenxiaoji Ling, Juanjuan Ren, Li Shao +8
The Chinese Space Station Survey Telescope (CSST) will perform a decade-long high-precision wide-field imaging survey that relies on rigorous on-orbit calibration. This necessitate…
Mock Observations for the CSST Mission: Main Surveys-the Slitless Spectroscopy Simulation
Xin Zhang, Yue-dong Fang, Cheng-liang Wei +14
The China Space Station Telescope (CSST), slated to become China's largest space-based optical telescope in the coming decade, is designed to conduct wide-field sky surveys with hi…
Mock Observations for the CSST Mission: End-to-End Performance Modeling of Optical System
Zhang Ban, Xiao-Bo Li, Xun Yang +11
This study presents a comprehensive end-to-end simulation analysis of the optical imaging performance of the China Survey Space Telescope (CSST) under in-orbit conditions. An integ…