67 citations · 501 across the 27 of their papers we have counts for
10 papers · 1 filter
A Catalog of 1,408 Carbon-Enhanced Metal-Poor Stars from LAMOST DR11
Xianqi Liu, Xiangru Li, Ziyu Fang
Metal-poor (MP) stars are important targets for investigating the chemical evolution of the early universe. Among them, Carbon-Enhanced Metal-Poor (CEMP) stars have attracted exten…
A Catalog of 12,766 Carbon-enhanced Metal-poor Stars from LAMOST Data Release 8
Ziyu Fang, Xiangru Li, Haining Li
Metal-poor stars are a rare and ancient type of stars; Carbon-Enhanced Metal-Poor (CEMP) stars are a subset of these celestial bodies that show an enrichment of carbon relative to…
Parameter Estimation of LAMOST Medium-resolution Stellar Spectra
Xiangru Li, Xiaoyu Zhang, Shengchun Xiong +2
This paper investigates the problem of estimating three stellar atmospheric physical parameters and thirteen elemental abundances for medium-resolution spectra from Large Sky Area…
Estimating Stellar Parameters from LAMOST Low-resolution Spectra
Xiangru Li, Boyu Lin
The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) has acquired tens of millions of low-resolution spectra of stars. This paper investigated the parameter estim…
SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey
Rui Wang, A-Li Luo, Jian-Jun Chen +6
The fundamental stellar atmospheric parameters T_eff and log g and 13 chemical abundances are derived for medium-resolution spectroscopy from LAMOST Medium-Resolution Survey (MRS)…
Spectral feature extraction for DB white dwarfs through machine learning applied to new discoveries in the SDSS DR12 and DR14
Xiao Kong, A-Li Luo, Xiang-Ru Li +3
Using a machine learning (ML) method, we mine DB white dwarfs (DBWDs) from the Sloan Digital Sky Survey (SDSS) Data Release (DR) 12 and DR14. The ML method consists of two parts: f…
Parameterizing Stellar Spectra Using Deep Neural Networks
Xiangru Li, Ruyang Pan
This work investigates the spectrum parameterization problem using deep neural networks (DNNs). The proposed scheme consists of the following procedures: first, the configuration o…
Estimating stellar atmospheric parameters based on LASSO and support-vector regression
Yu Lu, Xiangru Li
A scheme for estimating atmospheric parameters T, log, and [Fe/H] is proposed on the basis of Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and Haar…
SDSS/SEGUE Spectral Feature Analysis For Stellar Atmospheric Parameter Estimation
Xiangru Li, Q. M. Jonathan Wu, Ali Luo +5
Large-scale and deep sky survey missions are rapidly collecting a large amount of stellar spectra, which necessitate the estimation of atmospheric parameters directly from spectra…
Linearly Supporting Feature Extraction For Automated Estimation Of Stellar Atmospheric Parameters
Xiangru Li, Yu Lu, Georges Comte +3
We describe a scheme to extract linearly supporting (LSU) features from stellar spectra to automatically estimate the atmospheric parameters , log, and [Fe/H]. "Linear…