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Tracing the cosmic web

Research output: Contribution to journalArticlepeer-review

  • Noam I. Libeskind
  • 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
  • And 10 others
  • Nelson Padilla
  • Erwin Platen
  • Nesar Ramachandra
  • Aaron Robotham
  • Enn Saar
  • Sergei Shandarin
  • Matthias Steinmetz
  • Radu S. Stoica
  • Thierry Sousbie
  • Gustavo Yepes
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 twelve 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 {\it 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 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∼1013.5h−1M⊙Mhalo∼1013.5h−1M⊙ ) 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.
Original languageEnglish
Pages (from-to)1195-1217
JournalMonthly Notices of the Royal Astronomical Society
Volume473
Issue number1
Early online date3 Aug 2017
DOIs
Publication statusPublished - Jan 2018

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  • Tracing the cosmic web

    Rights 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. All rights reserved.

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