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Felix: A Topology based Framework for Visual Exploration of Cosmic Filaments

Authors :
Shivshankar, Nithin
Pranav, Pratyush
Natarajan, Vijay
van de Weygaert, Rien
Bos, E G Patrick
Rieder, Steven
Source :
IEEE Transactions on Visualization & Computer Graphics, 22(6), 2015, 1745-1759
Publication Year :
2015

Abstract

The large-scale structure of the universe is comprised of virialized blob-like clusters, linear filaments, sheet-like walls and huge near empty three-dimensional voids. Characterizing the large scale universe is essential to our understanding of the formation and evolution of galaxies. The density range of clusters, walls and voids are relatively well separated, when compared to filaments, which span a relatively larger range. The large scale filamentary network thus forms an intricate part of the cosmic web. In this paper, we describe Felix, a topology based framework for visual exploration of filaments in the cosmic web. The filamentary structure is represented by the ascending manifold geometry of the 2-saddles in the Morse-Smale complex of the density field. We generate a hierarchy of Morse-Smale complexes and query for filaments based on the density ranges at the end points of the filaments. The query is processed efficiently over the entire hierarchical Morse-Smale complex, allowing for interactive visualization. We apply Felix to computer simulations based on the heuristic Voronoi kinematic model and the standard $\Lambda$CDM cosmology, and demonstrate its usefulness through two case studies. First, we extract cosmic filaments within and across cluster like regions in Voronoi kinematic simulation datasets. We demonstrate that we produce similar results to existing structure finders. Filaments that form the spine of the cosmic web, which exist in high density regions in the current epoch, are isolated using Felix. Also, filaments present in void-like regions are isolated and visualized. These filamentary structures are often over shadowed by higher density range filaments and are not easily characterizable and extractable using other filament extraction methodologies.<br />Comment: 14 pages, 9 figures, 2 tables. Accepted for publication in IEEE Transactions on Visualization & Computer Graphics. A detailed description of the project, including the software and the supplementary material is available at http://vgl.serc.iisc.ernet.in/felix/

Details

Database :
arXiv
Journal :
IEEE Transactions on Visualization & Computer Graphics, 22(6), 2015, 1745-1759
Publication Type :
Report
Accession number :
edsarx.1508.00737
Document Type :
Working Paper
Full Text :
https://doi.org/10.1109/TVCG.2015.2452919