MiniJPAS survey. clusters and galaxy groups [Dataset]

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 capabiliti...

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Detalhes bibliográficos
Autores: González Delgado, R. M., Rodríguez-Martín, J. E., Benitez, N.
Formato: conjunto de datos
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/365452
Acesso em linha:http://hdl.handle.net/10261/365452
https://ui.adsabs.harvard.edu/abs/2023A&A...678A.145M
https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/678/A145
Access Level:acceso abierto
Palavra-chave:https://cdsarc.cds.unistra.fr/vizier/catstd/ADCkwds.htx
Clusters, galaxy
Surveys
Redshifts
X-ray sources
Optical
Descrição
Resumo: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 1deg^2^ 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 S/N=2.5 in the redshift range 0.05<z<0.8. We detect 80, 30 and 11 systems with signal-to-noise ratio larger than 2.5, 3.0 and 3.5, respectively, down to ~10^13^M_{sun}_/h. We derive mass-proxy scaling relations based on Chandra and XMM-Newton X-ray data for the signal amplitude returned by AMICO, the intrinsic richness and a new proxy that incorporates the galaxies' stellar masses. The latter proxy is made possible thanks to the J-PAS filters and shows a smaller scatter with respect to the richness. We fully characterize the sample and use AMICO to derive a probabilistic membership association of galaxies to the detected groups that we test against spectroscopy. We further show how the narrow band filters of J-PAS provide a gain of up to 100% in signal-to-noise ratio in detection and an uncertainty on the redshift of clusters of only {sigma}_z_=0.0037(1+z) placing J-PAS in between broadband photometric and spectroscopic surveys. The performances of AMICO and J-PAS with respect to mass sensitivity, mass-proxies quality.