2024
DOI: 10.3847/1538-4365/ad5a08
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A Robust Young Stellar Object Identification Method Based on Deep Learning

Lei 磊 Tan 谈,
Zhicun 志存 Liu 柳,
Xiaolong 小龙 Wang 王
et al.

Abstract: Young stellar objects (YSOs) represent the earliest stage in the process of star formation, offering insights that contribute to the development of models elucidating star formation and evolution. Recent advancements in deep-learning techniques have enabled significant strides in identifying special objects within vast data sets. In this paper, we present a YSO identification method based on deep-learning principles and spectra from the LAMOST. We designed a structure based on a long short-term memory network … Show more

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