AspGap: Augmented Stellar Parameters and Abundances for 37 Million Red Giant Branch Stars from Gaia XP Low-resolution Spectra

We present AspGap, a new approach to inferring stellar labels from the low-resolution Gaia XP spectra, including precise [ α /M] estimates—the first time these are obtained by such an approach. AspGap is a neural-network-based regression model trained on APOGEE spectra. In the training step, AspGap...

詳細記述

書誌詳細

主要な著者:	Jiadong Li, Kaze W. K. Wong, David W. Hogg, Hans-Walter Rix, Vedant Chandra
フォーマット:	Artigo
言語:	Inglês
出版事項:	IOP Publishing 2024-01-01
シリーズ:	The Astrophysical Journal Supplement Series
主題:	Stellar abundances Catalogs Milky Way Galaxy Red giant stars Chemical abundances Metallicity
オンライン･アクセス:	https://doi.org/10.3847/1538-4365/ad2b4d
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