5 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
Xu Li, Ruiqi Sun, Jiameng Lv +29
Strong gravitational lensing is a powerful tool for investigating dark matter and dark energy properties. With the advent of large-scale sky surveys, we can discover strong lensing…
The analysis of effective galaxies number count for Chinese Space Station Optical Survey(CSS-OS) by image simulation
Xin Zhang, Li Cao, Xianmin Meng
The Chinese Space Station Optical Survey (CSS-OS) is a mission to explore the vast universe. This mission will equip a 2-meter space telescope to perform a multi-band NUV-optical l…