49 citations · 151 across the 11 of their papers we have counts for
11 papers
L dwarfs detection from SDSS images using improved Faster R-CNN
Zhi Cao, Zhenping Yi, Jingchang Pan +4
We present a data-driven approach to automatically detect L dwarfs from Sloan Digital Sky Survey(SDSS) images using an improved Faster R-CNN framework based on deep learning. The e…
Estimating Stellar Parameters and Identifying Very Metal-poor Stars Using Convolutional Neural Networks for Low-resolution Spectra (R~200)
Tianmin Wu, Yude Bu, Jianhang Xie +5
Very metal-poor (VMP, [Fe/H]<-2.0) stars offer a wealth of information on the nature and evolution of elemental production in the early galaxy and universe. The upcoming China Spac…
Identifying hot subdwarf stars from photometric data using Gaussian mixture model and graph neural network
Wei Liu, Yude Bu, Xiaoming Kong +2
Hot subdwarf stars are very important for understanding stellar evolution, stellar astrophysics, and binary star systems. Identifying more such stars can help us better understand…
Searching for Barium Stars from the LAMOST Spectra Using the Machine Learning Method: I
Fengyue Guo, Zhongding Cheng, Xiaoming Kong +5
Barium stars are chemically peculiar stars that exhibit enhancement of s-process elements. Chemical abundance analysis of barium stars can provide crucial clues for the study of th…
Li-rich Giants Identified from LAMOST DR8 Low-Resolution Survey
BeiChen Cai, XiaoMing Kong, JianRong Shi +3
A small fraction of giants possess photospheric lithium(Li) abundance higher than the value predicted by the standard stellar evolution models, and the detailed mechanisms of Li en…
Automatic detection of low surface brightness galaxies from SDSS images
Zhenping Yi, Jia Li, Wei Du +7
Low surface brightness (LSB) galaxies are galaxies with central surface brightness fainter than the night sky. Due to the faint nature of LSB galaxies and the comparable sky backgr…
M subdwarf research. I. Identification, modified classification system, and sample construction
Shuo Zhang, A-Li Luo, Georges Comte +7
We propose a revision of the system developed by L'epine et al. (2007) for spectroscopic M subdwarf classification. Based on an analysis of subdwarf spectra and templates from Savc…
Searching for hot subdwarf stars from the LAMOST spectra. III. classifying the hot subdwarf stars from LAMOST DR4 using deep learning method
Yude Bu, Jingjing Zeng, Zhenxin Lei
Hot subdwarf stars are core He burning stars located at the blue end of the horizontal branch, also known as the extreme horizontal branch. The properties of hot subdwarf stars are…
Low-resolution near-infrared spectroscopic signatures of unresolved ultracool companions to M dwarfs
N. J. Cook, D. J. Pinfield, F. Marocco +14
We develop a method to identify the spectroscopic signature of unresolved L-dwarf ultracool companions, which compares the spectra of candidates and their associated control stars…
A Method for Selecting M dwarfs with an Increased Likelihood of Unresolved Ultra-cool Companionship
N. J. Cook, D. J. Pinfield, F. Marocco +15
Locating ultra-cool companions to M dwarfs is important for constraining low-mass formation models, the measurement of sub-stellar dynamical masses and radii, and for testing ultra…
M dwarf catalog of LAMOST pilot survey
Z. P. Yi, A. L. Luo, Y. H. Song +17
We present a spectroscopic catalog of 67082 M dwarfs from the LAMOST pilot survey. For each spectrum of the catalog, spectral subtype, radial velocity, equivalent width of H, a…