862 citations · 1.5k across the 36 of their papers we have counts for
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Scalable Stellar Parameter Inference Using Python-based LASP: From CPU Optimization to GPU Acceleration
Jun-Chao Liang, Yin-Bi Li, A-Li Luo +13
To enhance the efficiency, scalability, and cross-survey applicability of stellar parameter inference in large spectroscopic datasets, we present a modular, parallelized Python fra…
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…
Refined M-type Star Catalog from LAMOST DR10: Measurements of Radial Velocities, , log , [M/H] and [/M]
Shuo Li, Yin-Bi Li, A-Li Luo +10
Precise stellar parameters for M-type stars, the Galaxy's most common stellar type, are crucial for numerous studies. In this work, we refined the LAMOST DR10 M-type star catalog t…
New Symbiotic Stars from LAMOST DR10 Spectra and Multi-band Photometry
Jing Chen, Liang Wang, Yin-Bi Li +5
Symbiotic star (SySt) is long-period interacting binary system, typically consisting of a white dwarf and a red giant surrounded by a nebula. These systems are natural astrophysica…
Systematic search for blue hyper-velocity stars from LAMOST survey
Yongkang Sun, Yang Huang, Jifeng Liu +6
Hypervelocity stars (HVSs) represent a unique class of objects capable of escaping the gravitational pull of the Milky Way due to extreme acceleration events, such as close encount…