2 citations · 3 across the 12 of their papers we have counts for
12 papers
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…
Exploring the formation mechanisms of tidal structures in globular clusters of extragalactic origin
Shouzhi Wang, Jundan Nie, Biwei Jiang +3
Tidal structures around globular clusters provide valuable insights into cluster evolution and the hierarchical assembly of the Milky Way. Using wide-field imaging data from the DE…
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: Main Surveys -- the Mock Catalogue
Cheng-Liang Wei, Yu Luo, Hao Tian +17
The Chinese Space Station Survey Telescope (CSST) is a flagship space mission, designed to carry out a large-area sky survey to explore the nature of dark matter and dark energy in…
Mock Observations for the CSST Mission: Main Surveys--An Overview of Framework and Simulation Suite
Cheng-Liang Wei, Guo-Liang Li, Yue-Dong Fang +26
The Chinese Space Station Survey Telescope (CSST) is a flagship space-based observatory. Its main survey camera is designed to conduct high spatial resolution near-ultraviolet to n…
Mock Observations for the CSST Mission: Main Surveys--the Stray Light
Xian Jing-Tian, Lin Lin, Fang Yue-Dong +9
Stray light significantly influences the detection capabilities of astronomical telescopes. The actual stray-light level during observations depends not only on the telescope's inh…
CSST Slitless Spectra: Target Detection and Classification with YOLO
Yingying Zhou, Chao Liu, Hao Tian +2
Addressing the spatial uncertainty and spectral blending challenges in CSST slitless spectroscopy, we present a deep learning-driven, end-to-end framework based on the You Only Loo…
Slitless Spectroscopy Source Detection Using YOLO Deep Neural Network
Xiaohan Chen, Man I Lam, Yingying Zhou +6
Slitless spectroscopy eliminates the need for slits, allowing light to pass directly through a prism or grism to generate a spectral dispersion image that encompasses all celestial…
Unveiling Galactic substructures with M Giant stars: A kinematic and chemical study based on LAMOST DR9, Gaia DR3 and APOGEE DR17
Longfei Ding, Jing Li, Xiang-Xiang Xue +3
Based on the updated M giant star catalog selected from LAMOST DR9, we iden-tify substructures within the integrals-of-motion space through Friends-of-Friends cluster-ing algorithm…
Toward High-Precision Astrometry with CSST Using Multi-Gaussian Fitting of PSF
Jialu Nie, Peng Wei, Zihuang Cao +5
The Chinese Space Station Survey Telescope (CSST) presents significant potential for high-precision astrometry. In this study, we show that the point spread function (PSF) modeled…
Assessing the Association between the Globular Cluster NGC 4147 and the Sagittarius Dwarf Galaxy
YingHua Zhang, Jundan Nie, Hao Tian +1
The potential association of the globular cluster (GC) NGC 4147 with the Sagittarius (Sgr) dwarf spheroidal galaxy has been proposed due to their comparable locations and radial ve…
The Star Formation History of Nearby Galaxies: A Machine Learning Approach
Yujiao Yang, Chao Liu, Ming Yang +2
Reproducing color-magnitude diagrams (CMDs) of star-resolved galaxies is one of the most precise methods for measuring the star formation history (SFH) of nearby galaxies back to t…