Noam I. Libeskind
Tracing the cosmic web
Libeskind, Noam I.; van de Weygaert, Rien; Cautun, Marius; Falck, Bridget; Tempel, Elmo; Abel, Tom; Alpaslan, Mehmet; Aragón-Calvo, Miguel A.; Forero-Romero, Jaime E.; Gonzalez, Roberto; Gottlöber, Stefan; Hahn, Oliver; Hellwing, Wojciech A.; Hoffman, Yehuda; Jones, Bernard J.T.; Kitaura, Francisco; Knebe, Alexander; Manti, Serena; Neyrinck, Mark; Nuza, Sebastián E.; Padilla, Nelson; Platen, Erwin; Ramachandra, Nesar; Robotham, Aaron; Saar, Enn; Shandarin, Sergei; Steinmetz, Matthias; Stoica, Radu S.; Sousbie, Thierry; Yepes, Gustavo
Authors
Rien van de Weygaert
Marius Cautun
Bridget Falck
Elmo Tempel
Tom Abel
Mehmet Alpaslan
Miguel A. Aragón-Calvo
Jaime E. Forero-Romero
Roberto Gonzalez
Stefan Gottlöber
Oliver Hahn
Wojciech A. Hellwing
Yehuda Hoffman
Bernard J.T. Jones
Francisco Kitaura
Alexander Knebe
Serena Manti
Mark Neyrinck
Sebastián E. Nuza
Nelson Padilla
Erwin Platen
Nesar Ramachandra
Aaron Robotham
Enn Saar
Sergei Shandarin
Matthias Steinmetz
Radu S. Stoica
Thierry Sousbie
Gustavo Yepes
Abstract
The cosmic web is one of the most striking features of the distribution of galaxies and dark matter on the largest scales in the Universe. It is composed of dense regions packed full of galaxies, long filamentary bridges, flattened sheets and vast low-density voids. The study of the cosmic web has focused primarily on the identification of such features, and on understanding the environmental effects on galaxy formation and halo assembly. As such, a variety of different methods have been devised to classify the cosmic web – depending on the data at hand, be it numerical simulations, large sky surveys or other. In this paper, we bring 12 of these methods together and apply them to the same data set in order to understand how they compare. In general, these cosmic-web classifiers have been designed with different cosmological goals in mind, and to study different questions. Therefore, one would not a priori expect agreement between different techniques; however, many of these methods do converge on the identification of specific features. In this paper, we study the agreements and disparities of the different methods. For example, each method finds that knots inhabit higher density regions than filaments, etc. and that voids have the lowest densities. For a given web environment, we find a substantial overlap in the density range assigned by each web classification scheme. We also compare classifications on a halo-by-halo basis; for example, we find that 9 of 12 methods classify around a third of group-mass haloes (i.e. Mhalo ∼ 1013.5 h−1 M⊙) as being in filaments. Lastly, so that any future cosmic-web classification scheme can be compared to the 12 methods used here, we have made all the data used in this paper public.
Citation
Libeskind, N. I., van de Weygaert, R., Cautun, M., Falck, B., Tempel, E., Abel, T., …Yepes, G. (2017). Tracing the cosmic web. Monthly Notices of the Royal Astronomical Society, 473(1), 1195-1217. https://doi.org/10.1093/mnras/stx1976
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 31, 2017 |
Online Publication Date | Aug 3, 2017 |
Publication Date | Aug 3, 2017 |
Deposit Date | Jan 2, 2018 |
Publicly Available Date | Jan 3, 2018 |
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 | 473 |
Issue | 1 |
Pages | 1195-1217 |
DOI | https://doi.org/10.1093/mnras/stx1976 |
Related Public URLs | https://arxiv.org/abs/1705.03021 |
Files
Published Journal Article
(3.4 Mb)
PDF
Copyright Statement
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society © 2017. The Authors.
Published by Oxford University Press on behalf of the Royal Astronomical Society.
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