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

Ali Snedden; Lara Arielle Phillips; Grant J. Mathews; Jared Coughlin; In Saeng Suh; Aparna Bhattacharya

doi:10.1016/j.jcp.2015.07.004

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

Ali Snedden, Lara Arielle Phillips, Grant J. Mathews, Jared Coughlin, In Saeng Suh, Aparna Bhattacharya

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	92-97
Number of pages	6
Journal	Journal of Computational Physics
Volume	299
DOIs	https://doi.org/10.1016/j.jcp.2015.07.004
State	Published - Oct 5 2015
Externally published	Yes

Funding

The subvolume data set of the Millennium Simulation was generously provided by Frazer Pearce. The original filament finding algorithm was generously provided by Maxime Descoteaux. This research was supported in part by the Notre Dame Center for Research Computing . Work also supported in part by DOE grant DE-FG02-95-ER40934 .

Funders	Funder number
Notre Dame Center for Research Computing
U.S. Department of Energy
U.S. Department of Energy	DE-FG02-95-ER40934

Keywords

Clusters
Cosmology
Filaments
Large scale structure
Segmentation
Structure finding
Voids

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10.1016/j.jcp.2015.07.004

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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.",

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AU - Snedden, Ali

AU - Phillips, Lara Arielle

AU - Mathews, Grant J.

AU - Coughlin, Jared

AU - Suh, In Saeng

AU - Bhattacharya, Aparna

PY - 2015/10/5

Y1 - 2015/10/5

N2 - 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.

AB - 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.

KW - Clusters

KW - Cosmology

KW - Filaments

KW - Large scale structure

KW - Segmentation

KW - Structure finding

KW - Voids

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VL - 299

SP - 92

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JO - Journal of Computational Physics

JF - Journal of Computational Physics

ER -

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

Abstract

Funding

Keywords

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