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  4. CHANCES, the Chilean Cluster Galaxy Evolution Survey: Selection and initial characterisation of clusters and superclusters
 
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CHANCES, the Chilean Cluster Galaxy Evolution Survey: Selection and initial characterisation of clusters and superclusters

Journal
Astronomy & Astrophysics
Date Issued
2025-05
Author(s)
Cristóbal Sifón
Alexis Finoguenov
Christopher P. Haines
Yara Jaffé
B. M. Amrutha
Ricardo Demarco
E. V. R. Lima
Ciria Lima-Dias
Hugo Méndez-Hernández
Paola Merluzzi
Antonela Monachesi
Gabriel S. M. Teixeira
Nicolas Tejos
F. Almeida-Fernandes
Pablo Araya-Araya
Maria Argudo-Fernández
Raúl Baier-Soto
Lawrence E. Bilton
C. R. Bom
Juan Pablo Calderón
Letizia P. Cassarà
Johan Comparat
H. M. Courtois
Giuseppe D’Ago
Alexandra Dupuy
Alexander Fritz
Rodrigo F. Haack
Fabio R. Herpich
E. Ibar
Facultad de Ciencias  
Ulrike Kuchner
Ivan Lacerna
Amanda R. Lopes
Sebastian Lopez
Elismar Lösch
Sean McGee
C. Mendes de Oliveira
Lorenzo Morelli
Alessia Moretti
Diego Pallero
Franco Piraino-Cerda
Emanuela Pompei
U. Rescigno
Analía V. Smith Castelli
Rory Smith
Laerte Sodré Jr
Elmo Tempel
DOI
10.1051/0004-6361/202452710
Abstract
<jats:p>CHANCES, the CHileAN Cluster galaxy Evolution Survey, will study the evolution of galaxies in and around 100 massive galaxy clusters from the local Universe out to <jats:italic>z</jats:italic> = 0.45, and two superclusters at <jats:italic>z</jats:italic> ∼ 0.05 that contain roughly 25 Abell clusters each. CHANCES will use the new 4MOST Spectroscopic Survey Facility on the VISTA 4m telescope to obtain spectra for ∼500 000 galaxies with magnitudes <jats:italic>r</jats:italic><jats:sub>AB</jats:sub> < 20.4, providing comprehensive spectroscopic coverage of each cluster out to 5<jats:italic>r</jats:italic><jats:sub>200</jats:sub>. Its wide and deep scope will trace massive and dwarf galaxies from the surrounding filaments and groups to the cores of galaxy clusters. This will enable the study of galaxy preprocessing and of the role of the evolving environment on galaxy evolution. In this paper, we present and characterise the sample of clusters and superclusters to be targeted by CHANCES. We used literature catalogues based on X-ray emission and the Sunyaev–Zel’dovich effect to define the cluster sample in a homogeneous way, with attention to cluster mass and redshift, as well as the availability of ancillary data. We calibrated literature mass estimates from various surveys against each other and provide an initial mass estimate for each cluster, which we used to define the radial extent of the 4MOST coverage. We also present an initial assessment of the structure surrounding these clusters based on the redMaPPer red-sequence algorithm as a preview of some of the science CHANCES will enable.</jats:p>

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