AMICO galaxy clusters in KiDS-DR3: galaxy population properties and their redshift dependence
Mario Radovich, Crescenzo Tortora, Fabio Bellagamba, Matteo Maturi,, Lauro Moscardini, Emanuella Puddu, Mauro Roncarelli, Nivya Roy, Sandro, Bardelli, Federico Marulli, Mauro Sereno, Fedor Getman, Nicola R. Napolitano

TL;DR
This study analyzes galaxy cluster properties from the KiDS-DR3 survey using the AMICO algorithm, examining their redshift dependence and comparing results with the Illustris-TNG simulation to understand galaxy populations.
Contribution
It provides a detailed analysis of galaxy cluster properties, including galaxy color classification and their evolution, with a comparison to state-of-the-art cosmological simulations.
Findings
Good agreement with simulations at low redshift ($z \,\le\, 0.4$).
Higher redshift simulations underestimate the blue galaxy fraction.
Relaxed clusters show better simulation agreement.
Abstract
A catalogue of galaxy clusters was obtained in an area of 414 sq deg up to a redshift from the Data Release 3 of the Kilo-Degree Survey (KiDS-DR3), using the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm. The catalogue and the calibration of the richness-mass relation were presented in two companion papers. Here we describe the selection of the cluster central galaxy and the classification of blue and red cluster members, and analyze the main cluster properties, such as the red/blue fraction, cluster mass, brightness and stellar mass of the central galaxy, and their dependence on redshift and cluster richness. We use the Illustris-TNG simulation, which represents the state-of-the-art cosmological simulation of galaxy formation, as a benchmark for the interpretation of the results. A good agreement with simulations is found at low redshifts (),…
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