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CHANCES, the Chilean Cluster Galaxy Evolution Survey: Selection and initial characterisation of clusters and superclusters
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, 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, Rory Smith, Analía V. Smith Castelli, Laerte Sodré Jr, Elmo Tempel
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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 z = 0.45, and two superclusters at z ∼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 r_(AB) < 20.4, providing comprehensive spectroscopic coverage of each cluster out to 5r₂₀₀. 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.
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