Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6931061 | Journal of Computational Physics | 2015 | 6 Pages |
Abstract
We introduce a new structure finding algorithm that self-consistently parses large scale cosmological structure into clusters, filaments and voids. This structure finding algorithm probes the structure at multiple scales and classifies the appropriate regions with the most probable structure type and size. We show that it can identify the baryon fraction of intercluster medium and cosmological voids.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ali Snedden, Lara Arielle Phillips, Grant J. Mathews, Jared Coughlin, In-Saeng Suh, Aparna Bhattacharya,