12 citations · 25 across the 5 of their papers we have counts for
5 papers
PhDLspec: physical-prior embedded deep learning method for spectroscopic determination of stellar labels in high-dimensional parameter space
Tianmin Wu, Maosheng Xiang, Jianrong Shi +4
Unlocking the full physical information encoded in low-resolution spectra poses a significant challenge for astronomical survey analysis. Such a task demands modeling spectra and o…
Spectroscopic ages for 4 million main-sequence dwarf stars from LAMOST DR10 estimated with data-driven approach
Jia-Hui Wang, Maosheng Xiang, Meng Zhang +5
Stellar age determination for large samples of stars opens new avenues for a broad range of astronomical sciences. While precise stellar ages for evolved stars have been derived fr…
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…
The Mini-SiTian Array: first-two-year operation
Min He, Hong Wu, Liang Ge +70
The SiTian project, designed to utilize 60 telescopes distributed across multiple sites in China, is a next-generation time-domain survey initiative. As a pathfinder for the SiTian…
Determining Stellar Elemental Abundances from DESI Spectra with the Data-Driven Payne
Meng Zhang, Maosheng Xiang, Yuan-Sen Ting +8
Stellar abundances for a large number of stars are key information for the study of Galactic formation history. Large spectroscopic surveys such as DESI and LAMOST take median-to-l…