12 papers
Multiple populations detection with the Chinese Space Station Survey Telescope main survey camera
Zhuohang Li, Xia Li, Hao Tian +6
Multiple stellar populations (MPs), characterized by star-to-star light-element abundance variations, are ubiquitous in globular clusters (GCs). Spectroscopy directly reveals these…
Stellar Density Classification and Regression for CSST Multi-color Imaging Using Deep Learning
Jinzhi Lai, Man I Lam, Jianjun Chen +6
The Chinese Space Station Survey Telescope (CSST) aims to map the universe across an unprecedented dynamic range of stellar densities, spanning from extragalactic voids to the crow…
Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey
Xingchen Zhou, Yan Gong, Xin Zhang +4
Wide-field slitless spectroscopic galaxy surveys, such as the one performed by the upcoming Chinese Space Station Survey Telescope (CSST), are crucial for precision cosmology but p…
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…
Mock Observations of Multiple Stellar Populations in Tidal Streams of Palomar 5 for the Chinese Space Station Survey Telescope
Xia Li, Long Wang, Chengyuan Li +3
Observations show that multiple stellar populations (MPs) are ubiquitous in globular clusters. The Hubble Space Telescope (HST) has been a pivotal tool for previous photometric stu…
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…