Different Origins of Nucleated and Non-nucleated Dwarf Elliptical Galaxies: Identified by the Deep-learning
Sanjaya Paudel, Cristiano G. Sabiu, Suk-Jin Yoon, Daya Nidhi Chhatkuli, Woong-Bae G. Zee, Jaewon Yoo, and Binod Adhikari

TL;DR
This study uses deep learning to classify and analyze the spatial distribution of nucleated and non-nucleated dwarf elliptical galaxies in the Virgo cluster, revealing different formation histories.
Contribution
It introduces a machine learning framework to classify a large sample of dEs and uncovers their distinct spatial distributions and origins within the cluster.
Findings
Nucleated dEs are more clustered and associated with massive galaxies.
Non-nucleated dEs are more dispersed and aligned with the cluster's potential well.
Different origins for nucleated and non-nucleated dEs are suggested.
Abstract
Dwarf elliptical galaxies (dEs) are the dominant population in galaxy clusters and serve as ideal probes for studying the environmental impact on galactic evolution. A substantial fraction of dEs are known to harbor central nuclei, which are among the densest stellar systems in the Universe. The large-scale distribution and the underlying origin of nucleated and non-nucleated dEs remain unresolved. Using a state-of-the-art machine learning framework, we systematically scan the Virgo cluster region ( centered at and ) and construct the largest homogeneous sample of dEs (of total 2,123) with robust nucleus classifications. We find that nucleated dEs are more spatially clustered and exhibit a stronger association with massive galaxies than their non-nucleated counterparts. This suggests that most nucleated dEs likely…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
