CHANCES, the Chilean Cluster Galaxy Evolution Survey: Selection and initial characterisation of clusters and superclusters
Metadatos
Mostrar el registro completo del ítemEditorial
EDP Sciences
Materia
Galaxies: clusters: general Galaxies: distances and redshifts Galaxies: evolution
Fecha
2025-05-08Referencia bibliográfica
CHANCES Collaboration. (2025). CHANCES, the Chilean Cluster Galaxy Evolution Survey: Selection and initial characterisation of clusters and superclusters. Astronomy and Astrophysics, 697, A92. https://doi.org/10.1051/0004-6361/202452710
Patrocinador
HORIZON-MSCA-2021-SE-01 – Marie Skłodowska-Curie (101086388); European Union – Horizon Europe (EXCOSM 101159513)Resumen
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 rAB < 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.





