Metallicities of 20 Million Giant Stars Based on Gaia XP Spectra

We design an uncertainty-aware cost-sensitive neural network (UA-CSNet) to estimate metallicities from dereddened and corrected Gaia BP/RP (XP) spectra for giant stars. This method accounts for both stochastic errors in the input spectra and the imbalanced density distribution in [Fe/H] values. With...

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Auteurs principaux:	Lin Yang, Haibo Yuan, Bowen Huang, Ruoyi Zhang, Timothy C. Beers, Kai Xiao, Shuai Xu, Yang Huang, Maosheng Xiang, Meng Zhang, Jinming Zhang
Format:	Artigo
Langue:	Inglês
Publié:	IOP Publishing 2025-01-01
Collection:	The Astrophysical Journal Supplement Series
Sujets:	Fundamental parameters of stars Metallicity Astronomy data analysis Spectroscopy
Accès en ligne:	https://doi.org/10.3847/1538-4365/add5e3
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