The Spine of the Cosmic Web
Miguel A. Aragon-Calvo (1), Erwin Platen (2), Rien van de Weygaert, (2), Alexander S. Szalay (1) ((1) The Johns Hopkins University, (2) Kapteyn, Institute, University of Groningen)

TL;DR
The paper introduces the SpineWeb framework, a topological analysis method for the Cosmic Web that identifies its walls, filaments, and nodes using watershed segmentation and adjacency properties, demonstrated on models and simulations.
Contribution
The novel SpineWeb method uses watershed segmentation and boundary adjacency to accurately identify cosmic web structures in density fields.
Findings
Effective in identifying cosmic web structures in models and simulations
Demonstrates potential for studying cosmic web dynamics
Outperforms previous segmentation approaches
Abstract
We present the SpineWeb framework for the topological analysis of the Cosmic Web and the identification of its walls, filaments and cluster nodes. Based on the watershed segmentation of the cosmic density field, the SpineWeb method invokes the local adjacency properties of the boundaries between the watershed basins to trace the critical points in the density field and the separatrices defined by them. The separatrices are classified into walls and the spine, the network of filaments and nodes in the matter distribution. Testing the method with a heuristic Voronoi model yields outstanding results. Following the discussion of the test results, we apply the SpineWeb method to a set of cosmological N-body simulations. The latter illustrates the potential for studying the structure and dynamics of the Cosmic Web.
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Taxonomy
TopicsAstro and Planetary Science · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
