Optical and X-Ray Clusters as Tracers of the Supercluster-Void Network. I. Superclusters of Abell and X-Ray Clusters
By M. Einasto, J. Einasto, E. Tago, V. Müller, H. Andernach. 2000
134 citations recorded by the source corpus.
We study the distribution of Abell and X-ray–selected clusters of galaxies and derive selection functions of these cluster samples. We find that selection functions and percolation properties of Abell clusters of richness class R = 0 and R ≥ 1 are similar; the percolation of X-ray clusters occurs at the same dimensionless radius as the percolation of Abell clusters. We present a new catalog of superclusters of Abell clusters out to a redshift of zlim = 0.13, a catalog of X-ray clusters located in superclusters determined by Abell clusters, and a list of additional superclusters of X-ray clusters. We investigate the distribution of X-ray–selected clusters of galaxies with respect to superclusters determined by Abell clusters of galaxies and show that the distribution of X-ray clusters follows the supercluster-void network determined by Abell clusters. We find that X-ray clusters are more strongly clustered than other clusters: the fraction of X-ray clusters is higher in rich superclusters, and the fraction of isolated X-ray clusters is lower than the fraction of isolated Abell clusters. Poor, non-Abell X-ray clusters follow the supercluster-void network as well: these clusters are embedded in superclusters determined by Abell clusters and populate filaments between them.
Subfields: Astronomy and Astrophysics, Computer Vision and Pattern Recognition, Ecology
View Paper: https://www.semanticscholar.org/paper/2868757f77775fe2d967493cf663721e08c3ad55
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Astronomy and Astrophysics
Citations in the corpus
- Flux- and volume-limited groups/clusters for the SDSS galaxies: catalogues and mass estimation (2014, background): “…usage for mapping the underlying cosmic web, e.g. by extracting large-scale filaments (Zhang et al., 2013; Alpaslan et al., 2014), or the largest known density enhancements, galaxy superclusters (Zucca et al., 1993; Einasto et al., 1994, 2001) from the spatial distribution of groups and clusters.”