KASI AI Hub KASI AI Hub

K-DRIFT Science Theme: Illuminating the Next Era of Galaxy Cluster Science

Yoo et al. (2026)

Jaewon Yoo #1 Lead Kyungwon Chun #2 Corresponding Ko, Jongwan #3 Co-author Jihye Shin #4 Co-author Jaehyun Lee #6 Co-author Kwang-Il Seon #7 Co-author Jae-Woo Kim #8 Co-author Sungryong Hong #10 Co-author Byun, Woowon #11 Co-author Hyowon Kim #12 Co-author Sang-Hyun Chun #13 Co-author Hong Soo Park #14 Co-author Jeehye Shin #16 Co-author
Journal Of The Korean Astronomical Society(한국천문학회지) IF 0.8 B 등급

Abstract

The KASI Deep Rolling Imaging Fast Telescope (K-DRIFT) is a pioneering instrument designed to explore low-surface-brightness (LSB) phenomena. This white paper presents a compelling set of science cases that showcase K-DRIFT’s unique capabilities in unraveling the mysteries of intracluster light (ICL) and other LSB components within galaxy clusters. Exploring the origin of ICL in galaxy clusters and comparing the spatial distributions of ICL and dark matter will offer new insights into galaxy cluster dynamics. Moreover, investigating LSB objects in galaxy clusters, such as LSB structures in the brightest cluster galaxies, ultra-diffuse galaxies, and tidal features, will enhance our understanding of galaxy evolution within the cluster environment. We present our strategies for addressing scientific queries, encompassing LSB observation and analysis techniques, specialized simulations, and machine-learning approaches. Additionally, we examine the potential synergies between K-DRIFT and other ongoing and forthcoming multi-wavelength surveys. This white paper advocates for the recognition and support of K-DRIFT as a dedicated tool for advancing our understanding of the universe’s subtlest phenomena.

AI Classification

Maturity Tier

Tier 1 — Classical ML

AI Role

other

supporting

Techniques

classical-ML

Tasks

classification

Subfield

galaxies

image

Flags

Develops AI method
· Classification confidence: 90%