19 citations · 21 across the 12 of their papers we have counts for
6 papers · 1 filter
Metallicities of 20 Million Giant Stars Based on Gaia XP spectra
Lin Yang, Haibo Yuan, Bowen Huang +8
We design an uncertainty-aware cost-sensitive neural network (UA-CSNet) to estimate metallicities from dereddened and corrected Gaia BP/RP (XP) spectra for giant stars. This method…
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…
Photometric Stellar Parameters for 195,478 Kepler Input Catalog (KIC) Stars
Bowen Zhang, Yang Huang, Timothy C. Beers +9
The stellar atmospheric parameters and physical properties of stars in the Kepler Input Catalog (KIC) are of great significance for the study of exoplanets, stellar activity, and a…
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…
Filter Design for Estimation of Stellar Metallicity: Insights from Experiments with Gaia XP Spectra
Kai Xiao, Bowen Huang, Yang Huang +11
We search for an optimal filter design for the estimation of stellar metallicity, based on synthetic photometry from Gaia XP spectra convolved with a series of filter-transmission…
Stellar Loci. VII. Photometric Metallicities of 5 Million FGK Stars Based on GALEX GR6+7 AIS and Gaia EDR3
Xue Lu, Haibo Yuan, Shuai Xu +5
We combine photometric data from GALEX GR6+7 AIS and Gaia EDR3 with stellar parameters from the SAGA and PASTEL catalogs to construct high-quality training samples for dwarfs ($\rm…