Shape statistics of SDSS superclusters

DOI

We study the supercluster shape properties of the recently compiled Sloan Digital Sky Survey (SDSS) cluster catalogue using an approach based on differential geometry. We detect superclusters by applying the percolation algorithm to observed cluster populations, extended out to z_max_=8 cluster members and find that filamentary morphology is the dominant supercluster shape feature, in agreement with previous studies.

Cone search capability for table J/MNRAS/344/602/table1 (List of the SDSS superclusters using R_pr_=26h^-1^Mpc.)

Identifier
DOI http://doi.org/10.26093/cds/vizier.73440602
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/344/602
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/344/602
Related Identifier https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/344/602
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/344/602
Provenance
Creator Basilakos S.
Publisher CDS
Publication Year 2004
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Galactic and extragalactic Astronomy; Natural Sciences; Observational Astronomy; Physics