Abstract
Morphology classification of galaxy is a key requirement for studying their formation and evolution. The Hubble sequence is the most commonly used system for classifying galaxies, which was invented by Edwin Hubble in 1926. In old days, to classify a large amount of galaxies imaged by Sloan Digital Sky Survey (SDSS), Galaxy Zoo (GZ) was created to invite members of the public to assist, which gained an unexpected huge success. In the big data area, artificial intelligence (AI) methods are developed to save workforce and time, and archive a high precision at the same time. The classification of spirals, ellipticals and lenticulars is well satisfying, but that of galaxy mergers is still in a chaos, although there are already some studies in both traditional and deep learning approaches. Some important questions are still remained in this area, including detailed classification scheme of merger stages, and a larger selected sample catalog.
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