M. Cautun
NEXUS: tracing the cosmic web connection
Cautun, M.; van de Weygaert, R.; Jones, B.J.T.
Authors
R. van de Weygaert
B.J.T. Jones
Abstract
We introduce the NEXUS algorithm for the identification of cosmic web environments: clusters, filaments, walls and voids. This is a multiscale and automatic morphological analysis tool that identifies all the cosmic structures in a scale free way, without preference for a certain size or shape. We develop the NEXUS method to incorporate the density, tidal field, velocity divergence and velocity shear as tracers of the cosmic web. We also present the NEXUS+ procedure which, taking advantage of a novel filtering of the density in logarithmic space, is very successful at identifying the filament and wall environments in a robust and natural way. To assess the algorithms we apply them to an N-body simulation. We find that all methods correctly identify the most prominent filaments and walls, while there are differences in the detection of the more tenuous structures. In general, the structures traced by the density and tidal fields are clumpier and more rugged than those present in the velocity divergence and velocity shear fields. We find that the NEXUS+ method captures much better the filamentary and wall networks and is successful in detecting even the fainter structures. We also confirm the efficiency of our methods by examining the dark matter particle and halo distributions.
Citation
Cautun, M., van de Weygaert, R., & Jones, B. (2013). NEXUS: tracing the cosmic web connection. Monthly Notices of the Royal Astronomical Society, 429(2), 1286-1308. https://doi.org/10.1093/mnras/sts416
Journal Article Type | Article |
---|---|
Publication Date | Feb 1, 2013 |
Deposit Date | Jun 5, 2014 |
Publicly Available Date | Jun 19, 2014 |
Journal | Monthly Notices of the Royal Astronomical Society |
Print ISSN | 0035-8711 |
Electronic ISSN | 1365-2966 |
Publisher | Royal Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 429 |
Issue | 2 |
Pages | 1286-1308 |
DOI | https://doi.org/10.1093/mnras/sts416 |
Keywords | Methods: data analysis, Techniques: image processing, Cosmology: theory, Large-scale structure of Universe |
Files
Published Journal Article
(11.8 Mb)
PDF
Copyright Statement
This article has been accepted for publication in Monthly notices of the Royal Astronomical Society © 2013 The Authors Published by Oxford University Press on behalf of Royal Astronomical Society. All rights reserved.
You might also like
The impact of the Large Magellanic Cloud on dark matter direct detection signals
(2023)
Journal Article
Cosmic Ballet III: Halo spin evolution in the cosmic web
(2021)
Journal Article
The twisted dark matter halo of the Milky Way
(2020)
Journal Article
The Milky Way total mass profile as inferred from Gaia DR2
(2020)
Journal Article
Evolution of galactic planes of satellites in the eagle simulation
(2019)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search