Galaxy Cluster Membership Between z ~ 0.2-0.4 Using KDE Approach with RELICS Data Andi Sitti Mariyam (a*), Premana W. Premadi (b), Anton T. Jaelani (c)
a) Department of Astronomy, ITB
*email: andisittimariyam[at]gmail.com
b) Department of Astronomy, ITB
c) Department of Astronomy, ITB
Abstract
Understanding galaxy evolution within dense environments requires robust methods for identifying cluster membership. This study presents a probabilistic approach to determine galaxy cluster membership in the redshift range z ~ 0.2-0.4 using multiband photometric data from the Reionization Lensing Cluster Survey (RELICS). We implement Kernel Density Estimation (KDE) to identify overdensities in the color-redshift spaces. The results reveal a consistent trend between galaxy color and redshift at density peaks.
Keywords: galaxy clusters- membership selection- Kernel Density Estimation
