4 papers
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…
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…
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…
Derivative Spectroscopy and its Application at Detecting the Weak Emission/Absorption Lines
Lihuan Yu, Jiangdan Li, Jinliang Wang +4
The development of spectroscopic survey telescopes like Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), Apache Point Observatory Galactic Evolution Experiment a…