USmorph: An Updated Framework of Automatic Classification of Galaxy Morphologies and Its Application to Galaxies in the COSMOS Field
arxiv(2024)
摘要
Morphological classification conveys abundant information on the formation,
evolution, and environment of galaxies. In this work, we refine the two-step
galaxy morphological classification framework (USmorph), which
employs a combination of unsupervised machine learning (UML) and supervised
machine learning (SML) techniques, along with a self-consistent and robust data
preprocessing step. The updated method is applied to the galaxies with I_
mag<25 at 0.2更多
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