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The miniJPAS survey: cluster and galaxy group detections with AMICO

Methods. We used the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm to detect and characterize groups and clusters of galaxies down to S /N = 2.5 in the redshift range 0.05 < z < 0.8. - Results. We detected 80, 30, and 11 systems with signal-to-noise ratios higher than 2.5,...

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Hauptverfasser: Maturi, Matteo (VerfasserIn) , Finoguenov, A. (VerfasserIn) , Lopes, P. A. A. (VerfasserIn) , González Delgado, R. M. (VerfasserIn) , Dupke, R. A. (VerfasserIn) , Cypriano, E. S. (VerfasserIn) , Carrasco, E. R. (VerfasserIn) , Diego, J. M. (VerfasserIn) , Penna-Lima, M. (VerfasserIn) , Doubrawa, L. (VerfasserIn) , Vílchez, J. M. (VerfasserIn) , Moscardini, L. (VerfasserIn) , Marra, V. (VerfasserIn) , Bonoli, S. (VerfasserIn) , Rodríguez-Martín, J. E. (VerfasserIn) , Zitrin, A. (VerfasserIn) , Márquez, I. (VerfasserIn) , Hernán-Caballero, A. (VerfasserIn) , Jiménez-Teja, Y. (VerfasserIn) , Abramo, R. (VerfasserIn) , Alcaniz, J. (VerfasserIn) , Benitez, N. (VerfasserIn) , Carneiro, S. (VerfasserIn) , Cenarro, J. (VerfasserIn) , Cristóbal-Hornillos, D. (VerfasserIn) , Ederoclite, A. (VerfasserIn) , López-Sanjuan, C. (VerfasserIn) , Marín-Franch, A. (VerfasserIn) , Mendes de Oliveira, C. (VerfasserIn) , Moles, M. (VerfasserIn) , Sodré Jr, L. (VerfasserIn) , Taylor, K. (VerfasserIn) , Varela, J. (VerfasserIn) , Vázquez Ramió, H. (VerfasserIn) , Fernández-Ontiveros, J. A. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: October 2023
In: Astronomy and astrophysics
Year: 2023, Jahrgang: 678, Pages: 1-15
ISSN:1432-0746
DOI:10.1051/0004-6361/202245323
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1051/0004-6361/202245323
Verlag, kostenfrei, Volltext: https://www.aanda.org/10.1051/0004-6361/202245323
Volltext
Verfasserangaben:M. Maturi, A. Finoguenov, P. A. A. Lopes, R. M. González Delgado, R. A. Dupke, E. S. Cypriano, E. R. Carrasco, J. M. Diego, M. Penna-Lima, L. Doubrawa, J. M. Vílchez, L. Moscardini, V. Marra, S. Bonoli, J. E. Rodríguez-Martín, A. Zitrin, I. Márquez, A. Hernán-Caballero, Y. Jiménez-Teja, R. Abramo, J. Alcaniz, N. Benitez, S. Carneiro, J. Cenarro, D. Cristóbal-Hornillos, A. Ederoclite, C. López-Sanjuan, A. Marín-Franch, C. Mendes de Oliveira, M. Moles, L. Sodré Jr, K. Taylor, J. Varela, H. Vázquez Ramió, and J. A. Fernández-Ontiveros
Beschreibung
Zusammenfassung:Methods. We used the Adaptive Matched Identifier of Clustered Objects (AMICO) algorithm to detect and characterize groups and clusters of galaxies down to S /N = 2.5 in the redshift range 0.05 < z < 0.8. - Results. We detected 80, 30, and 11 systems with signal-to-noise ratios higher than 2.5, 3.0, and 3.5, respectively, down to ∼1013 M h−1. 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. This 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 with 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 σz = 0.0037(1 + z), placing J-PAS between broad-band photometric and spectroscopic surveys. - Conclusions. The performance of AMICO and J-PAS with respect to mass sensitivity, mass-proxies quality, and redshift accuracy will allow us to derive cosmological constraints not only based on cluster counts, but also based on clustering of galaxy clusters.
Beschreibung:Gesehen am 23.09.2024
Beschreibung:Online Resource
ISSN:1432-0746
DOI:10.1051/0004-6361/202245323

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