371 citations · 2.5k across the 64 of their papers we have counts for
13 papers · 1 filter
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…
Mapping the Galactic Disk with the LAMOST and Gaia Red Clump Sample VII: the Stellar Disk Structure Revealed by the Mono-abundance Populations
Zheng Yu, Ji Li, Bingqiu Chen +7
Using a sample of 96,201 primary red clump (RC) stars selected from the LAMOST and Gaia surveys, we investigate the stellar structure of the Galactic disk. The sample stars show tw…
Beyond spectroscopy. I. Metallicities, distances, and age estimates for over twenty million stars from SMSS DR2 and Gaia EDR3
Yang Huang, Timothy C. Beers, Christian Wolf +8
Accurate determinations of stellar parameters and distances for large complete samples of stars are keys for conducting detailed studies of the formation and evolution of our Galax…
The Parallax Zero-Point of Gaia Early Data Release 3 from LAMOST Primary Red Clump Stars
Yang Huang, Haibo Yuan, Timothy C. Beers +1
We present an independent examination of the parallax zero-point of the Third Gaia Early Data Release (hereafter EDR3), using the LAMOST primary red clump (PRC) stellar sample. A m…
Correction to the photometric colors of Gaia Early Data Release 3
Zexi Niu, Haibo Yuan, Jifeng Liu
In this work, we use the spectroscopy-based stellar color regression (SCR) method with ~ 0.7 million common stars between LAMOST DR7 and Gaia EDR3 to acquire color corrections in G…
Correction to the photometric colors of the Gaia Data Release 2 with the stellar color regression method
Zexi Niu, Haibo Yuan, Jifeng Liu
The second Gaia data release (DR2) delivers accurate and homogeneous photometry data of the whole sky to an exquisite quality, reaching down to the unprecedented milli-magnitude (m…
Correction to the photometric magnitudes of the Gaia Early Data Release 3
Lin Yang, Haibo Yuan, Ruoyi Zhang +4
In this letter, we have carried out an independent validation of the Gaia EDR3 photometry using about 10,000 Landolt standard stars from Clem & Landolt (2013). Using a machine lear…