A New Multi-Scale Structure Finding Algorithm to Identify Cosmological Structure

We introduce a new self-consistent structure finding algorithm that parses large scale cosmological structure into clusters, filaments and voids. This structure finding algorithm probes the cosmological structure at multiple scales and clas- sifies the appropriate regions with the most probable stru...

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Bibliographic Details
Published inarXiv.org
Main Authors Snedden, Ali, Phillips, Lara Arielle, Mathews, Grant J, Coughlin, Jared, Suh, In-Saeng, Bhattacharya, Aparna
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 26.09.2014
Subjects
Algorithms
Filaments
Physics - Astrophysics of Galaxies
Physics - Cosmology and Nongalactic Astrophysics
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ISSN2331-8422
DOI10.48550/arxiv.1409.7711

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Summary:We introduce a new self-consistent structure finding algorithm that parses large scale cosmological structure into clusters, filaments and voids. This structure finding algorithm probes the cosmological structure at multiple scales and clas- sifies the appropriate regions with the most probable structure type and size. We show that it reproduces key observational results, including the baryon fraction of ICM, and average temperatures and densities for the different structures.
Bibliography:SourceType-Working Papers-1
ObjectType-Working Paper/Pre-Print-1
content type line 50
ISSN:2331-8422
DOI:10.48550/arxiv.1409.7711