34 citations · 85 across the 23 of their papers we have counts for
8 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…
Planet Across Space and Time (PAST). VII. The origin and tidal evolution of hot Jupiters constrained by a broken age-frequency relation
Di-Chang Chen, Ji-Wei Xie, Ji-Lin Zhou +4
The discovery of hot Jupiters has challenged the classical planet formation theory. Although various formation mechanisms have been proposed, the dominant channel and relative cont…
The Initial Mass Function of the Galactic Early-type Field Stars Based on the LAMOST Survey
Qida Li, Jianping Xiong, Zhenwei Li +4
Research on the high-mass end of the initial mass function (IMF) has been limited due to a scarcity of samples. Recently, Large Sky Area Multi-Object Fiber Spectroscopic Telescope…
PANCAKE: Python bAsed Numerical Color-magnitude-diagram Analysis pacKagE
Yun Zheng, Yujiao Yang, Yong-kun Zhang +11
Stellar populations serve as a fossil record of galaxy formation and evolution, providing crucial information about the history of star formation and galaxy evolution. The color-ma…
Unveiling a young thick disk in the Milky Way
Jianhui Lian, Min Du, Shuai Lu +5
The thickness of a galaxy's disk provides a valuable probe of its formation and evolution history. Observations of the Milky Way and local galaxies have revealed an ubiquitous disk…
Mass, Luminosity, and Stellar Age of Early-type Stars from the LAMOST Survey
Qida Li, Jianping Xiong, Jiao Li +4
Mass () and luminosity () are fundamental parameters of stars but can only be measured indirectly. Typically, effective temperature (), surface gravity (${\rm lo…
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…