Liang, Jun-Chao https://orcid.org/0009-0001-9085-8718
Li, Yin-Bi https://orcid.org/0000-0001-7607-2666
Luo, A-Li https://orcid.org/0000-0001-7865-2648
Zuo, Fang https://orcid.org/0000-0002-9081-8951
Du, Bing https://orcid.org/0000-0001-6820-6441
Li, Shuo https://orcid.org/0000-0002-8913-3605
Ma, Xiao-Xiao https://orcid.org/0000-0002-9279-2783
Ma, Shu-Guo https://orcid.org/0000-0001-5066-5682
Lu, Hai-Ling https://orcid.org/0000-0002-8252-8743
Wu, Ke-Fei https://orcid.org/0009-0009-0513-7042
Zhong, Zhi-Hua https://orcid.org/0009-0003-6636-8203
Hou, Wen https://orcid.org/0000-0003-0716-1029
Kong, Xiao https://orcid.org/0000-0001-8011-8401
Ye, Shuo https://orcid.org/0009-0005-6200-2778
Wang, Li-Li https://orcid.org/0000-0001-7783-9662
Jones, Hugh R. A. https://orcid.org/0000-0003-0433-3665
Funding for this research was provided by:
CAS ∣ National Astronomical Observatories, Chinese Academy of Sciences (E4ZR0516)
MOST ∣ National Natural Science Foundation of China (12273075)
MOST ∣ National Natural Science Foundation of China (12273078)
MOST ∣ National Natural Science Foundation of China (12411530071)
Article Title: Scalable Stellar Parameter Inference Using Python-based LASP: From CPU Optimization to GPU Acceleration
Journal Title: The Astrophysical Journal
Article Type: paper
Copyright Information: © 2025. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2025-05-31
Date Accepted: 2025-09-26
Online publication date: 2025-12-31