Artículo de revista
Shapley Supercluster Survey: Galaxy evolution from filaments to cluster cores
Fecha
2015Registro en:
MNRAS 446, 803–822 (2015)
1365-2966
doi: 10.1093/mnras/stu2085
Autor
Merluzzi, P.
Busarello, G.
Haines, Chris
Mercurio, A.
Okabe, N.
Pimbblet, K. J.
Dopita, M. A.
Grado, A.
Limatola, L.
Bourdin, H.
Mazzotta, P.
Capaccioli, M.
Napolitano, N. R.
Schipani, P.
Institución
Resumen
We present an overview of a multiwavelength survey of the Shapley Supercluster (SSC;
z ∼ 0.05) covering a contiguous area of 260 h
−2
70 Mpc2 including the supercluster core. The
project main aim is to quantify the influence of cluster-scalemass assembly on galaxy evolution
in one of the most massive structures in the local Universe. The Shapley Supercluster Survey
(ShaSS) includes nine Abell clusters (A3552, A3554, A3556, A3558, A3559, A3560, A3562,
AS0724, AS0726) and two poor clusters (SC1327−312, SC1329−313) showing evidence of
cluster–cluster interactions. Optical (ugri) and near-infrared (K) imaging acquired with VLT
Survey Telescope and Visible and Infrared Survey Telescope for Astronomy allow us to study
the galaxy population down to m + 6 at the supercluster redshift. A dedicated spectroscopic
survey with AAOmega on the Anglo-Australian Telescope provides a magnitude-limited sample
of supercluster members with 80 per cent completeness at ∼m + 3. We derive the galaxy
density across the whole area, demonstrating that all structures within this area are embedded
in a single network of clusters, groups and filaments. The stellar mass density in the core of
the SSC is always higher than 9 × 109M Mpc−3, which is ∼40× the cosmic stellar mass
density for galaxies in the local Universe. We find a new filamentary structure (∼7 Mpc long
in projection) connecting the SSC core to the cluster A3559, as well as previously unidentified
density peaks. We perform a weak-lensing analysis of the central 1 deg2 field of the survey
obtaining for the central cluster A3558 a mass of M500 = 7.63+3.88
−3.40
× 1014M , in agreement
with X-ray based estimates
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