Crawling the cosmic network: Identifying and quantifying filamentary structure

Nicholas A. Bond, Michael A. Strauss, Renyue Cen

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

Abstract

We present the Smoothed Hessian Major Axis Filament Finder (shmaff), an algorithm that uses the eigenvectors of the Hessian matrix of the smoothed galaxy distribution to identify individual filamentary structures. Filaments are traced along the Hessian eigenvector corresponding to the largest eigenvalue and are stopped when the axis orientation changes more rapidly than a preset threshold. In both N-body simulations and the Sloan Digital Sky Survey (SDSS) main galaxy redshift survey data, the resulting filament length distributions are approximately exponential. In the SDSS galaxy distribution, using smoothing lengths of 10 and 15 h-1 Mpc, we find filament lengths per unit volume of 1.9 × 10-3 and 7.6 × 10-4 h2 Mpc-2, respectively. The filament width distributions, which are much more sensitive to non-linear growth, are also consistent between the real and mock galaxy distributions using a standard cosmology. In SDSS, we find mean filament widths of 5.5 and 8.4 h-1 Mpc on 10 and 15 h-1 Mpc smoothing scales, with standard deviations of 1.1 and 1.4 h-1 Mpc, respectively. Finally, the spatial distribution of filamentary structure in simulations is very similar between z= 3 and z= 0 on smoothing scales as large as 15 h-1 Mpc, suggesting that the outline of filamentary structure is already in place at high redshift.

Original languageEnglish (US)
Pages (from-to)156-168
Number of pages13
JournalMonthly Notices of the Royal Astronomical Society
Volume409
Issue number1
DOIs
StatePublished - Nov 2010

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • Cosmology: observations
  • Large-scale structure of Universe
  • Methods: data analysis
  • Surveys

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