activity
20172025
most citedAn Application of Deep Neural Networks in the Analysis of Stellar Spectra

129 citations · 210 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

astro-ph.SR2023★ 21 cited

Stellar Parameters and Chemical Abundances Estimated from LAMOST-II DR8 MRS based on Cycle-StarNet

Rui Wang, A-Li Luo, Shuo Zhang +3

Deriving stellar atmospheric parameters and chemical abundances from stellar spectra is crucial for understanding the evolution of the Milky Way. By performing a fitting with MARCS…