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Title:
Measures of large-scale structure in the CfA redshift survey slices
Authors:
de Lapparent, Valerie; Geller, Margaret J.; Huchra, John P.
Affiliation:
AA(CNRS, Institut d'Astrophysique, Paris, France), AB(Harvard-Smithsonian Center for Astrophysics, Cambridge, MA), AC(Harvard-Smithsonian Center for Astrophysics, Cambridge, MA)
Publication:
Astrophysical Journal, Part 1 (ISSN 0004-637X), vol. 369, March 10, 1991, p. 273-286. Research supported by the Smithsonian Institution. (ApJ Homepage)
Publication Date:
03/1991
Category:
Astrophysics
Origin:
STI
NASA/STI Keywords:
GALACTIC CLUSTERS, GALACTIC STRUCTURE, RED SHIFT, ASTRONOMICAL MODELS, COMPUTERIZED SIMULATION, STAR DISTRIBUTION
DOI:
10.1086/169759
Bibliographic Code:
1991ApJ...369..273D

Abstract

Variations of the counts-in-cells with cell size are used here to define two statistical measures of large-scale clustering in three 6 deg slices of the CfA redshift survey. A percolation criterion is used to estimate the filling factor which measures the fraction of the total volume in the survey occupied by the large-scale structures. For the full 18 deg slice of the CfA redshift survey, f is about 0.25 + or - 0.05. After removing groups with more than five members from two of the slices, variations of the counts in occupied cells with cell size have a power-law behavior with a slope beta about 2.2 on scales from 1-10/h Mpc. Application of both this statistic and the percolation analysis to simulations suggests that a network of two-dimensional structures is a better description of the geometry of the clustering in the CfA slices than a network of one-dimensional structures. Counts-in-cells are also used to estimate at 0.3 galaxy h-squared/Mpc the average galaxy surface density in sheets like the Great Wall.

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