A two-dimensional analysis of percolation and filamentarity in the Sloan Digital Sky Survey Data Release One

37Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

We have used the largest cluster statistics and the average filamentarity to quantify respectively the connectivity and the shapes of the patterns seen in the galaxy distribution in two volume-limited subsamples extracted from the equatorial strips of the Sloan Digital Sky Survey (SDSS) Data Release One (DR1). The data was projected on to the equatorial plane and analysed in two dimensions (2D). Comparing the results with Poisson point distributions at various levels of smoothing we find evidence for a network-like topology with filaments being the dominant patterns in the galaxy distribution. With increasing smoothing, a transition from many individual filamentary structures to an interconnected network is found to occur at a filling factor of 0.5-0.6. We have tested the possibility that the connectivity and the morphology of the patterns in the galaxy distribution may be luminosity dependent and find significant evidence for a luminosity-morphology relation, the brighter galaxies exhibiting lower levels of connectivity and filamentarity compared to the fainter ones. Using a statistical technique, Shuffle, we show that the filamentarity in both the SDSS strips is statistically significant up to 80 h-1 Mpc but not beyond. Larger filaments, though identified, are not statistically significant. Our findings reaffirm earlier work establishing the filaments to be the largest known statistically significant coherent structures in the Universe. © 2005 RAS.

Cite

CITATION STYLE

APA

Pandey, B., & Bharadwaj, S. (2005). A two-dimensional analysis of percolation and filamentarity in the Sloan Digital Sky Survey Data Release One. Monthly Notices of the Royal Astronomical Society, 357(3), 1068–1076. https://doi.org/10.1111/j.1365-2966.2005.08726.x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free