3 papers
astro-ph.SR2025
Identify main-sequence binaries from the Chinese Space Station Telescope Survey with machine learning
Jia-jia Li, Jin-liang Wang, Kai-fan Ji +4
The statistical properties of double main sequence (MS) binaries are very important for binary evolution and binary population synthesis. To obtain these properties, we need to ide…
astro-ph.SR2025
Identify Main-sequence Binaries from the Chinese Space Station Telescope Survey with Machine Learning. II. Based on Gaia and GALEX
Jia-jia Li, Jian-ping Xiong, Zhi-jia Tian +3
The statistical characteristics of double main-sequence (MS) binaries are essential for investigating star formation, binary evolution, and population synthesis. Our previous study…
astro-ph.SR2024
Estimating the Atmospheric Parameters of Early-type Stars from the Chinese Space Station Telescope (CSST) Slitless Spectra Survey
JiaRui Rao, HaiLiang Chen, JianPing Xiong +6
The measurement of atmospheric parameters is fundamental for scientific research using stellar spectra. The Chinese Space Station Telescope (CSST), scheduled to be launched in 2024…