2 papers
astro-ph.GA2025
Scalable Stellar Parameter Inference Using Python-based LASP: From CPU Optimization to GPU Acceleration
Jun-Chao Liang, Yin-Bi Li, A-Li Luo +13
To enhance the efficiency, scalability, and cross-survey applicability of stellar parameter inference in large spectroscopic datasets, we present a modular, parallelized Python fra…
astro-ph.SR2024
An Empirical Sample of Spectra of M-type Stars with Homogeneous Atmospheric-Parameter Labels
Bing Du, A-Li Luo, Song Wang +6
The discrepancies between theoretical and observed spectra, and the systematic differences between various spectroscopic parameter estimates, complicate the determination of atmosp…