The miniJPAS survey: Optical detection of galaxy clusters with PZWav

TL;DR

This paper demonstrates the effectiveness of the miniJPAS survey and PZWav algorithm in detecting galaxy clusters using optical photometric data, providing valuable insights into cluster properties and structures at various redshifts.

Contribution

The study introduces a novel cluster detection method using PZWav on miniJPAS data and compares results with other catalogues, highlighting its depth and accuracy.

Findings

Detected galaxy clusters with masses around 4×10^{13} M_⊙ at redshift 0.75

Achieved 75% recovery rate of massive galaxies with M* > 2×10^{11} M_⊙

Found 43 common clusters with other catalogues, with small positional and redshift offsets.

Abstract

Galaxy clusters are an essential tool to understand and constrain the cosmological parameters of our Universe. Thanks to its multi-band design, J-PAS offers a unique group and cluster detection window using precise photometric redshifts and sufficient depths. We produce galaxy cluster catalogues from the miniJPAS, which is a pathfinder survey for the wider J-PAS survey, using the PZWav algorithm. Relying only on photometric information, we provide optical mass tracers for the identified clusters, including richness, optical luminosity, and stellar mass. By reanalysing the Chandra mosaic of the AEGIS field, alongside the overlapping XMM-Newton observations, we produce an X-ray catalogue. The analysis reveals the possible presence of structures with masses of 4$\times 10^{13}$ M$_\odot$ at redshift 0.75, highlighting the depth of the survey. Comparing results with those from two other cluster catalogues, provided by AMICO and VT, we find $43$ common clusters with cluster centre offsets of 100$\pm$60 kpc and redshift differences below 0.001. We provide a comparison of the cluster catalogues with a catalogue of massive galaxies and report on the significance of cluster selection. In general, we are able to recover approximately 75$\%$ of the galaxies with $M^{\star} >$2$\times 10^{11}$ M$_\odot$. This study emphasises the potential of the J-PAS survey and the employed techniques down to the group scales.