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Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques
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Stellar parameter estimation in O-type stars using artificial neural networks
Estimation of Stellar Ages and Masses Using Gaussian Process Regression
Yude Bu, Yerra Bharat Kumar, Jianhang Xie, Jingchang Pan, Gang Zhao and Yaqian Wu The Astrophysical Journal Supplement Series 249(1) 7 (2020) https://doi.org/10.3847/1538-4365/ab8bcd
Stellar spectral interpolation using machine learning
Kaushal Sharma, Harinder P Singh, Ranjan Gupta, et al. Monthly Notices of the Royal Astronomical Society 496(4) 5002 (2020) https://doi.org/10.1093/mnras/staa1809
Atmospheric parameter measurement of Low-S/N stellar spectra based on deep learning
WIYN Open Cluster Study. LXXVI. Li Evolution Among Stars of Low/Intermediate Mass: The Metal-deficient Open Cluster NGC 2506
Barbara J. Anthony-Twarog, Donald B. Lee-Brown, Constantine P. Deliyannis and Bruce A. Twarog The Astronomical Journal 155(3) 138 (2018) https://doi.org/10.3847/1538-3881/aaad66