J/ApJS/272/42 COSMOS2020 galaxy morphology classif. with USmorph (Song+, 2024) ================================================================================ USmorph: an updated framework of automatic classification of galaxy morphologies and its application to galaxies in the COSMOS field. Song J., Fang G., Ba S., Lin Z., Gu Y., Zhou C., Wang T., Hao C.-N., Liu G., Zhang H., Yao Y., Kong Xu =2024ApJS..272...42S ================================================================================ ADC_Keywords: Galaxies, optical; Photometry, HST; Redshifts; Morphology Keywords: Galaxy structure ; Astrostatistics techniques ; Astronomy data analysis Abstract: Morphological classification conveys abundant information on the formation, evolution, and environment of galaxies. In this work, we refine a two-step galaxy morphological classification framework (USmorph), which employs a combination of unsupervised machine-learning and supervised machine-learning techniques, along with a self-consistent and robust data-preprocessing step. The updated method is applied to galaxies with Imag<25 at 0.2