24 citations · 97 across the 20 of their papers we have counts for
4 papers · 1 filter
MSFA-Net: An Advanced Deep Learning Model for Identifying Blue Horizontal-Branch Stars from LAMOST DR12
Mingyuan Wang, Xiaoming Kong, Jie Ju +2
Blue horizontal-branch (BHB) stars are low-mass, core helium-burning objects with nearly constant luminosities, making them powerful tracers of old, metal-poor populations and valu…
A Generalist Model Including Evolved Star Mass and Age
Mengmeng Zhang, Yude Bu, Siqi Wang +10
Determining precise stellar ages and masses for evolved giants is crucial for Galactic archaeology but challenged by spectral degeneracies. Gaia's low-resolution XP spectra offer a…
PhysFormer: A Physics-Embedded Generative Model for Physically Self-Consistent Spectral Synthesis
Siqi Wang, Mengmeng Zhang, Yude Bu +1
In scientific and engineering domains, modeling high-dimensional complex systems governed by partial differential equations (PDEs) remains challenging in terms of physical consiste…
Deep learning-driven atmospheric parameter prediction for hot subdwarf stars with synthetic and observed spectra
Zhenxin Lei, Yangyang Dong, Bokai Kou +4
We design a convolutional neural network (CNN) incorporating channel attention and spatial attention mechanisms to predict atmospheric parameters of hot subdwarfs. The experimental…