16 citations · 25 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
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…
Measurements of the Diffuse Interstellar Bands at 5780, 5797, and 6614 Å in the Hot Stellar Spectra of the LAMOST LRS DR10
Xiao-Xiao Ma, A-Li Luo, Jian-Jun Chen +2
Diffuse Interstellar Bands (DIBs) are crucial tracers of the interstellar medium (ISM), yet their carriers remain poorly understood. While large-scale surveys have advanced DIB stu…