862 citations · 1.5k across the 36 of their papers we have counts for
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Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference
Hai-Ling Lu, Yu-Yang Li, Yin-Bi Li +4
Stellar spectra encode key information on the physical properties and chemical compositions of stars. Accurate stellar parameter determination is essential for addressing major que…
Estimating stellar atmospheric parameters and elemental abundances using fully connected residual network
Shuo Li, Yin-Bi Li, A-Li Luo +3
Stellar atmospheric parameters and elemental abundances are traditionally determined using template matching techniques based on high-resolution spectra. However, these methods are…
Deep learning interpretability analysis for carbon star identification in Gaia DR3
Shuo Ye, Wen-Yuan Cui, Yin-Bi Li +2
Context. A large fraction of Asymptotic Giant Branch (AGB) stars develop carbon-rich atmospheres during their evolution. Based on their color and luminosity, these carbon stars can…
LAMOST Spectrograph Response Curves: Stability and Application to flux calibration
Bing Du, A-Li Luo, Zhong-Rui Bai +14
The task of flux calibration for LAMOST (Large sky Area Multi-Object Spectroscopic Telescope) spectra is difficult due to many factors. For example, the lack of standard stars, fla…
Search for carbon stars and DZ white dwarfs in SDSS spectra survey through machine learning
Jianmin Si, Ali Luo, Yinbi Li +5
Carbon stars and DZ white dwarfs are two types of rare objects in the Galaxy. In this paper, we have applied the label propagation algorithm to search for these two types of stars…