11 citations · 13 across the 3 of their papers we have counts for
3 papers
astro-ph.GA2026★ 1 cited
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…
astro-ph.SR2025★ 11 cited
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…
astro-ph.GA2024★ 1 cited
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…