371 citations · 2.5k across the 64 of their papers we have counts for
64 papers
A Planetary Nebula from a 5.7 Progenitor in a 90 Myr M31 Star Cluster
Pinjian Chen, Bingqiu Chen, Xiaodian Chen +2
Planetary nebulae (PNe) trace the late evolution of low-to-intermediate-mass stars, yet the masses of their progenitors are rarely measured directly. Here we present a PN physicall…
Homogeneous Stellar Atmospheric Parameters and 22 Elemental Abundances for FGK Stars Derived From LAMOST Low-resolution Spectra with DD-Payne
Meng Zhang, Maosheng Xiang, Yuan-Sen Ting +11
A deep understanding of our Galaxy desires detailed decomposition of its stellar populations via their chemical fingerprints. This requires precise stellar abundances of many eleme…
Finding Quasars Behind the Galactic Plane: Spectroscopic Identifications of ~1300 New Quasars at |b|<=20 degree from LAMOST DR10
Zhi-Ying Huo, Yuming Fu, Yang Huang +10
Quasars behind the Galactic plane (GPQs) are excellent tracers to probe the chemistry and kinematics of the interstellar/intergalactic medium (ISM/IGM) of the Milky Way along sight…
The Stellar Abundances and Galactic Evolution Survey (SAGES). II. Machine Learning-Based Stellar parameters for 21 million stars from the First Data Release
Hongrui Gu, Zhou Fan, Gang Zhao +14
Stellar parameters for large samples of stars play a crucial role in constraining the nature of stars and stellar populations in the Galaxy. An increasing number of medium-band pho…
A Comprehensive Catalog of Emission-line Nebulae, Star Clusters, and Supergiants in M31 from the LAMOST Spectroscopic Survey
Pinjian Chen, Bingqiu Chen, Xuan Fang +5
Spectroscopic observations of various tracers in nearby galaxies, such as Andromeda (M31), play a crucial role in identifying and classifying individual stellar populations and neb…
The Stellar Abundances and Galactic Evolution Survey (SAGES) III -- The g/r/i-band Data Release
Chun Li, Zhou Fan, Gang Zhao +15
The Stellar Abundances and Galactic Evolution Survey (SAGES) is a multi-band survey that covers the northern sky area of ~12000 deg2. Nanshan One-meter Wide-field Telescope (NOWT)…
A Rv map of the Milky Way revealed by LAMOST
Ruoyi Zhang, Haibo Yuan, Bingqiu Chen
The total-to-selective extinction ratio, Rv, is a key parameter for tracing the properties of interstellar dust, as it directly determines the variation of the extinction curve wit…
Searching for new globular clusters in M 31 with Gaia EDR3
Yilun Wang, Haibo Yuan, Bingqiu Chen +4
We found 50 new globular cluster (GC) candidates around M\,31 with Gaia Early Data Release 3 (EDR3), with the help from Pan-STARRS1 DR1 magnitudes and Pan-Andromeda Archaeological…
Internal calibration of LAMOST and Gaia DR3 GSP-Spec stellar abundances
Zexi Niu, Haibo Yuan, Jifeng Liu
Stellar chemical abundances are crucial and fundamental in astrophysics. However, they could suffer from substantial systematic errors according to several investigations but still…
Empirical temperature- and extinction-dependent extinction coefficients for the GALEX, Pan-STARRS1, Gaia, SDSS, 2MASS, and WISE passbands
Ruoyi Zhang, Haibo Yuan
We have obtained accurate dust reddening from far-ultraviolet (UV) to the mid-infrared (IR) for up to 5 million stars by the star-pair algorithm based on LAMOST stellar parameters…
Stellar Loci VI: An Updated Catalog of the Best and Brightest Metal-poor Stars
Shuai Xu, Haibo Yuan, Ruoyi Zhang +3
We employ Gaia, 2MASS, and ALLWISE photometry, as well as astrometric data from Gaia, to search for relatively bright very metal-poor ([Fe/H] ; VMP) giant star candidates u…
ET White Paper: To Find the First Earth 2.0
Jian Ge, Hui Zhang, Weicheng Zang +163
We propose to develop a wide-field and ultra-high-precision photometric survey mission, temporarily named "Earth 2.0 (ET)". This mission is designed to measure, for the first time,…
Validations and Corrections of the SFD and Planck Reddening Maps Based on LAMOST and Gaia Data
Yang Sun, Haibo Yuan, Bingqiu Chen
Precise correction of dust reddening is fundamental to obtain the intrinsic parameters of celestial objects. The Schlegel et al. (SFD) and the Planck 2D extinction maps are widely…
Forecast of observing time delay of the strongly lensed quasars with Muztagh-Ata 1.93m telescope
Shanhao Zhu, Yiping Shu, Haibo Yuan +8
As a completely independent method, the measurement of time delay of strongly lensed quasars (TDSL) are crucial to resolve the Hubble tension. Extensive monitoring is required but…
Validation and Improvement of the Pan-STARRS Photometric Calibration with the Stellar Color Regression Method
Kai Xiao, Haibo Yuan
As one of the best ground-based photometric dataset, Pan-STARRS1 (PS1) has been widely used as the reference to calibrate other surveys. In this work, we present an independent val…
The value-added catalogue for LAMOST DR8 low-resolution spectra
Chun Wang, Yang Huang, Haibo Yuan +3
We present a value-added catalog containing stellar parameters estimated from 7.10 million low-resolution spectra for 5.16 million unique stars with spectral signal-to-noise ratios…
A spatially dependent correction of Gaia EDR3 parallax zero-point offset based on 0.3 million LAMOST DR8 giant stars
Chun Wang, Haibo Yuan, Yang Huang
We have studied the zero-point offset of Gaia early Data Release 3 (EDR3) parallaxes based on a sample of 0.3 million giant stars built from the LAMOST data with distance accuracy…
Photometric recalibration of the SDSS Stripe 82 to a few milimagnitude precision with the stellar color regression method and Gaia EDR3
Bowen Huang, Haibo Yuan
By combining spectroscopic data from the LAMOST DR7, SDSS DR12, and corrected photometric data from the Gaia EDR3, we apply the Stellar Color Regression (SCR; Yuan et al. 2015a) me…
J-PLUS: Stellar Parameters, C, N, Mg, Ca and [α/Fe] Abundances for Two Million Stars from DR1
Lin Yang, Haibo Yuan, Maosheng Xiang +20
Context. The Javalambre Photometric Local Universe Survey (J-PLUS) has obtained precise photometry in twelve specially designed filters for large numbers of Galactic stars. Derivin…
Stellar Loci V: Photometric Metallicities of 27 Million FGK Stars based on Gaia Early Data Release 3
Shuai Xu, Haibo Yuan, Zexi Niu +3
We combine LAMOST DR7 spectroscopic data and Gaia EDR3 photometric data to construct high-quality giant (0.7 1.4) and dwarf (0.5 1.5) samples in the hi…
Identification of new M31 star cluster candidates from PAndAS images using convolutional neural networks
Shoucheng Wang, Bingqiu Chen, Jun Ma +7
Context.Identification of new star cluster candidates in M31 is fundamental for the study of the M31 stellar cluster system. The machine-learning method convolutional neural networ…
Binary fractions of G and K dwarf stars based on the Gaia EDR3 and LAMOST DR5: impacts of the chemical abundances
Zexi Niu, Haibo Yuan, Song Wang +1
Basing on the large volume \textit{Gaia} Early Data Release 3 and LAMOST Data Release 5 data, we estimate the bias-corrected binary fractions of the field late G and early K dwarfs…
The miniJPAS Survey: A Study on Wavelength Dependence of the Photon Response Non-uniformity of the JPAS-{\it Pathfinder} Camera
Kai Xiao, Haibo Yuan, J. Varela +20
Understanding the origins of small-scale flats of CCDs and their wavelength-dependent variations plays an important role in high-precision photometric, astrometric, and shape measu…
J-PLUS: Support Vector Machine Applied to STAR-GALAXY-QSOClassification
Cunshi Wang, Yu Bai, C. López-Sanjuan +19
Context. In modern astronomy, machine learning has proved to be efficient and effective to mine the big data from the newesttelescopes. Spectral surveys enable us to characterize m…