The miniJPAS survey: Cluster and galaxy group detections with AMICO

Abstract

Context. Samples of galaxy clusters allow us to better understand the physics at play in galaxy formation and to constrain cosmological models once the mass, position (for clustering studies), and redshift are known. In this context, large optical datasets play a crucial role. Aims. We investigate the capabilities of the Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) in detecting and characterizing galaxy groups and clusters. We analysed the data of the miniJPAS survey, obtained with the JPAS-Pathfinder camera and covering 1 deg2 centred on the AEGIS field to the same depths and with the same 54 narrow-band filters plus two broader-band near-UV and near-IR filters anticipated for the full J-PAS survey. Methods. We used the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm to detect and characterize groups and clusters of galaxies down to S/Na =a 2.5 in the redshift range 0.05a