A new multi-scale structure finding algorithm to identify cosmological structure

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 an...

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Bibliographic Details
Published inJournal of computational physics Vol. 299; no. C; pp. 92 - 97
Main Authors Snedden, Ali, Phillips, Lara Arielle, Mathews, Grant J., Coughlin, Jared, Suh, In-Saeng, Bhattacharya, Aparna
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 15.10.2015
Elsevier
Subjects
Algorithms
Baryons
Classification
Clusters
Computation
Cosmology
Filaments
Large scale structure
Segmentation
Structure finding
Voids
Voids
Structure finding
Segmentation
Filaments
Large scale structure
Clusters
Cosmology
Online AccessGet full text
ISSN0021-9991
1090-2716
1090-2716
DOI10.1016/j.jcp.2015.07.004

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Summary: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.
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USDOE
FG02-95-ER40934
ISSN:0021-9991
1090-2716
1090-2716
DOI:10.1016/j.jcp.2015.07.004