activity
20152025
most citedDeriving the stellar labels of LAMOST spectra with Stellar LAbel Machine (SLAM)

116 citations · 627 across the 29 of their papers we have counts for

collaborators

29 papers

astro-ph.SR2025

Stellar Parameters of BOSS M dwarfs in SDSS-V DR19

Dan Qiu, Jennifer A. Johnson, Chao Liu +15

We utilized the Stellar LAbel Machine (SLAM), a data-driven model based on Support Vector Regression, to derive stellar parameters ([Fe/H], , and ) for SDSS-V…

astro-ph.SR2024

The Blue Horizontal-Branch Stars From the LAMOST Survey: Atmospheric Parameters

Jie Ju, Bo Zhang, Wenyuan Cui +4

Blue horizontal-branch (BHB) stars are crucial for studying the structure of the Galactic halo. Accurate atmospheric parameters of BHB stars are essential for investigating the for…

astro-ph.SR2024

TYC 3340-2437-1: A Quadruple System with A Massive Star

Jiao Li, Chao Liu, Changqing Luo +10

Hierarchical massive quadruple systems are ideal laboratories for examining the theories of star formation, dynamical evolution, and stellar evolution. The successive mergers of hi…

astro-ph.SR2023

Calibration of metallicity of LAMOST M dwarf stars Using FGK+M wide binaries

Dan Qiu, Jiadong Li, Bo Zhang +3

Estimating precise metallicity of M dwarfs is a well-known difficult problem due to their complex spectra. In this work, we empirically calibrate the metallicity using wide binarie…

astro-ph.SR2023★ 2 cited

The Stellar Spectra Factory (SSF) Based On SLAM

Wei Ji, Chao Liu, Bo Zhang

In this work, we present Stellar Spectra Factory (SSF), a tool to generate empirical-based stellar spectra from arbitrary stellar atmospheric parameters. The relative flux-calibrat…

astro-ph.SR2023★ 14 cited

Value-added catalog of M-giant stars in LAMOST DR9

Jing Li, Lin Long, Jing Zhong +9

In this work, we update the catalog of M-giant stars from the low-resolution spectra of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Data Release 9. There…

astro-ph.SR2023★ 8 cited

Atmospheric parameters and kinematic information for the M giants stars from LAMOST DR9

Dan Qiu, Hao Tian, Jing Li +5

A catalog of more than 43,000 M giant stars has been selected by Li et al. from the ninth data release of LAMOST. Using the data-driven method SLAM, we obtain the stellar parameter…

astro-ph.SR2022★ 4 cited

LAMOST medium-resolution spectroscopic survey of binarity and exotic star (LAMOST-MRS-B): Observation strategy and target selection

Jiao Li, Jiang-Dan Li, Yan-Jun Guo +15

LAMOST-MRS-B is one of the sub-surveys of LAMOST medium-resolution (R~7500) spectroscopic survey. It aims at studying the statistical properties (e.g., binary fraction, orbital per…

astro-ph.SR2022★ 20 cited

The Eclipsing Binaries from the LAMOST Medium-resolution Survey.III. A High-precision Empirical Stellar Mass Library

Jianping Xiong, Chao Liu, Jiao Li +6

High-precision stellar mass and radius measured directly from binaries can effectively calibrate the stellar models. However, such a database containing full spectral types and lar…

astro-ph.SR2022★ 22 cited

The statistical properties of early-type stars from LAMOST DR8

Yanjun Guo, Chao Liu, Luqian Wang +5

Massive binary stars play a crucial role in many astrophysical fields. Investigating the statistical properties of massive binary stars is essential to trace the formation of massi…

astro-ph.SR2022★ 15 cited

Li-rich Giants in LAMOST Survey. III. The statistical analysis of Li-rich giants

Yutao Zhou, Chun Wang, Hongliang Yan +5

The puzzle of Li-rich giant is still unsolved, contradicting the prediction of the standard stellar models. Although the exact evolutionary stages play a key role in the knowledge…

astro-ph.SR2021★ 44 cited

The Spectroscopic Binaries from LAMOST Medium-Resolution Survey (MRS). I. Searching for Double-lined Spectroscopic Binaries (SB2s) with Convolutional Neural Network

Bo Zhang, Ying-Jie Jing, Fan Yang +13

We developed a convolutional neural network (CNN) model to distinguish the double-lined spectroscopic binaries (SB2s) from others based on single exposure medium-resolution spectra…

astro-ph.GA2021★ 3 cited

Search for the metal-weak thick disk from the LAMOST DR5

T. -S. Yan, J. -R. Shi, H. Tian +2

Based on the data release of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope survey (LAMOST DR5) and the \emph{Gaia} Early Data Release 3 (\emph{Gaia} EDR3), we const…

astro-ph.SR2021★ 7 cited

LTD064402+245919: A Subgiant with a 1-3 M Undetected Companion Identified from LAMOST-TD Data

Fan Yang, Bo Zhang, Richard J. Long +11

Single-line spectroscopic binaries recently contribute to the stellar-mass black hole discovery, independently of the X-ray transient method. We report the identification of a sing…

astro-ph.SR2021★ 24 cited

The Early-type Stars from LAMOST survey: Atmospheric parameters

YanJun Guo, Bo Zhang, Chao Liu +7

Massive stars play key roles in many astrophysical processes. Deriving atmospheric parameters of massive stars is important to understand their physical properties and thus are key…

astro-ph.SR2021★ 31 cited

LAMOST Time-Domain Survey: First Results of four 2 plates

Song Wang, Haotong Zhang, Zhongrui Bai +23

From Oct. 2019 to Apr. 2020, LAMOST performs a time-domain spectroscopic survey of four 2 plates with both low- and med-resolution observations. The low-resolution spectroscopic…

astro-ph.SR2021★ 2 cited

The Relative Calibration of Radial Velocity for LAMOST Medium Resolution Stellar Spectra

Jianping Xiong, Bo Zhang, Chao Liu +3

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) started median-resolution spectroscopic (MRS, R7500) survey since October 2018. The main scientific goa…

astro-ph.SR2021★ 17 cited

Exploring the stellar rotation of early-type stars in the LAMOST Medium-Resolution Survey. I. Catalog

Weijia Sun, Xiao-Wei Duan, Licai Deng +3

We derive stellar parameters and abundances (`stellar labels') of 40,034 late-B and A-type main-sequence stars extracted from the Large Sky Area Multi-Object Fiber Spectroscopic Te…

astro-ph.SR2021★ 105 cited

Self-consistent Stellar Radial Velocities from LAMOST Medium-Resolution Survey (MRS) DR7

Bo Zhang, Jiao Li, Fan Yang +12

Radial velocity (RV) is among the most fundamental physical quantities obtainable from stellar spectra and is rather important in the analysis of time-domain phenomena. The LAMOST…

astro-ph.SR2021★ 40 cited

Stellar parametrization of LAMOST M dwarf stars

Jiadong Li, Chao Liu, Bo Zhang +3

M dwarf stars are the most common stars in the Galaxy, dominating the population of the Galaxy by numbers at faint magnitudes. Precise and accurate stellar parameters for M dwarfs…

astro-ph.GA2021★ 15 cited

Exploring the Galactic Anticenter substructure with LAMOST & Gaia DR2

Jing Li, Xiang-Xiang Xue, Chao Liu +12

We characterize the kinematic and chemical properties of 589 Galactic Anticenter Substructure Stars (GASS) with K-/M- giants in Integrals-of-Motion space. These stars likely includ…

astro-ph.GA2020★ 11 cited

Differential rotation of the halo traced by the K-giant stars

Hao Tian, Chao Liu, Yougang Wang +4

We use K-giant stars selected from the LAMOST DR5 to study the variation of the rotational velocity of the galactic halo at different space positions. Modelling the rotational velo…

astro-ph.SR2020★ 45 cited

LAMOST Medium-Resolution Spectroscopic Survey (LAMOST-MRS): Scientific goals and survey plan

Chao Liu, Jianning Fu, Jianrong Shi +38

Since September 2018, LAMOST starts a new 5-year medium-resolution spectroscopic survey (MRS) using bright/gray nights. We present the scientific goals of LAMOST-MRS and propose a…

astro-ph.SR2019★ 31 cited

Exploring the spectral \textit{information content} in the LAMOST medium-resolution survey (MRS)

Bo Zhang, Chao Liu, Chun-Qian Li +3

Low-resolution spectra are proved competitive to high-resolution spectra in determining many stellar labels at comparable precision. It is useful to consider the spectral informati…