SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey

10 Jan 2020 Wang Rui Luo A-Li Chen Jian-Jun Hou Wen Zhang Shuo Zhao Yong-Heng Li Xiang-Ru Hou Yong-Hui Collaboration LAMOST MRS

The fundamental stellar atmospheric parameters T_eff and log g and 13 chemical abundances are derived for medium-resolution spectroscopy from LAMOST Medium-Resolution Survey (MRS) data sets with a deep-learning method. The neural networks we designed, named as SPCANet, precisely map LAMOST MRS spectra to stellar parameters and chemical abundances... (read more)

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Categories


  • SOLAR AND STELLAR ASTROPHYSICS
  • ASTROPHYSICS OF GALAXIES