The miniJPAS survey: clusters and galaxy groups detection with AMICO
M. Maturi, A. Finoguenov, P. A. A. Lopes, R. M. Gonz\'alez Delgado, R., A. Dupke, E. S. Cypriano, E. R. Carrasco, J.M. Diego, M. Penna-Lima, J. M., V\'ilchez, L. Moscardini, V. Marra, S. Bonoli, J.E. Rodr\'iguez-Mart\'in, A., Zitrin, I. M\'arquez, A. Hern\'an-Caballero

TL;DR
This paper demonstrates the effectiveness of the miniJPAS survey combined with the AMICO algorithm in detecting and characterizing galaxy groups and clusters with high precision, leveraging narrow-band filters for improved detection and redshift accuracy.
Contribution
The study introduces a novel application of the AMICO algorithm to miniJPAS data, showing enhanced detection capabilities and new mass-proxy relations using J-PAS filters.
Findings
Detected 80 galaxy systems with S/N > 2.5 down to ~10^13 M_sun/h
Derived a new mass proxy with reduced scatter compared to traditional richness
Achieved cluster redshift uncertainties of σ_z=0.0037(1+z) using narrow-band filters.
Abstract
Samples of galaxy clusters allow us to better understand the physics at play in galaxy formation and to constrain cosmological models once their mass, position (for clustering studies) and redshift are known. In this context, large optical data sets play a crucial role. 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 analyze the data of the miniJPAS survey, obtained with the JPAS-Pathfinder camera and covering deg centered on the AEGIS field to the same depths and with the same 54 narrow band plus 2 broader band near-UV and near-IR filters anticipated for the full J-PAS survey. We use the Adaptive Matched Identifier of Clustered Objects (AMICO) to detect and characterize groups and clusters of galaxies down to in the redshift range…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Astronomical Observations and Instrumentation
