129 citations · 210 across the 9 of their papers we have counts for
4 papers · 1 filter
Half a Million M Dwarf Stars Characterized Using Domain-Adapted Spectral Analysis
Shuo Zhang, Hua-Wei Zhang, Yuan-Sen Ting +5
We present fundamental atmospheric parameters (Teff and log g) and metallicities ([M/H]) for 507,513 M dwarf stars using low-resolution spectra (R~1800) from LAMOST DR10. By employ…
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…
Interpreting Stellar Spectra with Unsupervised Domain Adaptation
Teaghan O'Briain, Yuan-Sen Ting, Sébastien Fabbro +3
We discuss how to achieve mapping from large sets of imperfect simulations and observational data with unsupervised domain adaptation. Under the hypothesis that simulated and obser…
Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets
Teaghan O'Briain, Yuan-Sen Ting, Sébastien Fabbro +3
The advancements in stellar spectroscopy data acquisition have made it necessary to accomplish similar improvements in efficient data analysis techniques. Current automated methods…