1 citations · 1 across the 5 of their papers we have counts for
8 papers
Convolutional Neural Networks for classifying galaxy mergers: Can faint tidal features aid in classifying mergers?
Yeonkyung Lee, Hyunmi Song, Jihye Shin +3
Identifying mergers from observational data has been a crucial aspect of studying galaxy evolution and formation. Tidal features, typically fainter than 26 …
K-DRIFT Science Theme: Galactic Cirrus Clouds and Circumgalactic Medium
Kwang-il Seon, Jaehyun Lee, Jongwan Ko +8
In this paper, we review the extended halo material and the circumgalactic medium (CGM), including both dust and gas, and discuss promising science cases that could be realized usi…
K-DRIFT: Unveiling New Imagery of the Hidden Universe
Jongwan Ko, Woowon Byun, Kwang-Il Seon +31
Low-surface-brightness (LSB) structures play a crucial role in understanding galaxy evolution by providing significant insights into galaxy interactions, the histories of mass asse…
The Role of Pre-Processing in Tidal Feature Formation within Galaxy Clusters
Kyungwon Chun, Jihye Shin, Jongwan Ko +3
We investigate the formation of tidal features, such as tidal tails, streams, and shell-like structures, composed of stars stripped from satellites within galaxy clusters. For this…
Tracing Dark Matter in the Central Regions of Galaxy Clusters Using Galaxies, Gas, and Intracluster Light in TNG300: Connections to Cluster Dynamical State
Jaewon Yoo, Jihye Shin, Ho Seong Hwang +4
Recent studies have highlighted the potential of intracluster light (ICL) as a dark matter tracer. Moreover, the ICL co-evolves with the brightest cluster galaxy (BCG) and the host…
Emergence of the Galaxy Morphology-Star Formation Activity-Clustercentric Radius Relations in Galaxy Clusters
Sungwook E. Hong, Changbom Park, Preetish K. Mishra +7
We investigate when and how the relations of galaxy morphology and star forming activity with clustercentric radius become evident in galaxy clusters. We identify 162 galaxy cluste…