Crawling the Cosmic Network: Identifying and Quantifying Filamentary Structure
Nicholas A. Bond, Michael A. Strauss, and Renyue Cen

TL;DR
This paper introduces SHMAFF, an algorithm that identifies and quantifies filamentary structures in galaxy distributions, revealing consistent filament properties across simulations and observations, and indicating early formation of cosmic filaments.
Contribution
The paper presents SHMAFF, a novel Hessian-based algorithm for detecting cosmic filaments in galaxy surveys and simulations, with detailed analysis of filament properties and their evolution.
Findings
Filament length distributions are approximately exponential.
Filament widths are consistent between real and mock data.
Filamentary structure is established by redshift z=3.
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 h^{-1} Mpc and 15 h^{-1} Mpc, we find filament lengths per unit volume of 1.9x10^{-3} h^2 Mpc^{-2} and 7.6x10^{-4} h^2 Mpc^{-2}, respectively. The filament width distributions, which are much more sensitive to non-linear growth, are also consistent between the real…
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