activity
20192025
most citedThe analysis of effective galaxies number count for Chinese Space Station Optical Survey(CSS-OS) by image simulation

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2025★ 1 cited

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…

astro-ph.IM2025

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…

astro-ph.GA2025

The Size Evolution and the Size-Mass Relation of Lyman-Alpha Emitters across as Observed by JWST

Qi Song, F. S. Liu, Jian Ren +14

Understanding the morphological structures of Lyman-alpha emitters (LAEs) is crucial for unveiling their formation pathways and the physical origins of Ly emission. However, the…

astro-ph.IM2024

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…

astro-ph.IM2019★ 5 cited

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…