The persistent cosmic web and its filamentary structure - II. Illustrations: Persistent cosmic web - II: Illustrations
Open accessAbstract
The recently introduced discrete persistent structure extractor (DisPerSE, Sousbie, Paper I) is implemented on realistic 3D cosmological simulations and observed redshift catalogues; it is found that DisPerSE traces very well the observed filaments, walls and voids seen both in simulations and in observations. In either setting, filaments are shown to connect on to haloes, outskirt walls, which circumvent voids, as is topologically required by the Morse theory. Indeed this algorithm returns the optimal critical set while operating directly on the particles. DisPerSE, as illustrated here, assumes nothing about the geometry of the survey or its homogeneity, and yields a natural (topologically motivated) self-consistent criterion for selecting the significance level of the identified structures. It is shown that this extraction is possible even for very sparsely sampled point processes, as a function of the persistence ratio (a measure of the significance of topological connections between critical points). Hence, astrophysicists should be in a position to trace precisely the locus of filaments, walls and voids from such samples and assess the confidence of the post-processed sets as a function of this threshold, which can be expressed relative to the expected amplitude of shot noise. In a cosmic framework, this criterion is shown to level with the friends-of-friends structure finder for the identification of peaks, while it also identifies the connected filaments and walls, and quantitatively recovers the full set of topological invariants (number of holes, etc.) directly from the particles, and at no extra cost as a function of the persistence threshold. This criterion is found to be sufficient even if one particle out of two is noise, when the persistence ratio is set to 3σ or more. The algorithm is also implemented on the SDSS catalogue and used to locate interesting configurations of the filamentary structure. In this context, we carried the identification of an ‘optically faint’ cluster at the intersection of filaments through the recent observation of its X-ray counterpart by Suzaku.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Persistent homology gives a method which allows us to track topological behaviour of excursion sets as the thresholds for these excursion sets decrease.
“It was recognized in Sousbie (2011) and Sousbie, Pichon and Kawahara (2011) that persistent homology gives a method which allows us to track topological behaviour of excursion sets as the thresholds for these excursion sets decrease.”
From Topological pattern recognition for point cloud data (2014) · cites this paper as Sousbie, Pichon and Kawahara (2011)
Cites
Topological Persistence and Simplification
Edelsbrunner, Letscher, & Zomorodian (2002) · Discrete & Computational Geometry · doi:10.1007/s00454-002-2885-2 · Cited by 1,779 · see citing works
Stability of Persistence Diagrams
Cohen-Steiner, D., Edelsbrunner, H., & Harer, J. (2007) · Discrete & Computational Geometry · doi:10.1007/s00454-006-1276-5 · Cited by 1,280 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Topological pattern recognition for point cloud data
Carlsson, G. (2014) · Acta Numerica · doi:10.1017/s0962492914000051 · Cited by 230 · see citing works
- Authors
- Sousbie, T., Pichon, C., & Kawahara, H.
- Affiliations
- Institut d'Astrophysique de Paris (FR)
- Tokyo Metropolitan University (JP)
- Corresponding author
- Sousbie, T.
- ORCID
- Pichon, C.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-04-13
- Volume
- 414
- Issue
- 1
- Pages
- 384-403
- ISSN
- 0035-8711 (ISSN-L)
- OpenAlex
- W1831954423
- Cited by
- 302
- References
- 2
- Citations by year
- 2026: 34 · 2025: 32 · 2024: 37 · 2023: 23 · 2022: 19 · 2021: 23 · 2020: 26 · 2019: 24 · 2018: 14 · 2017: 14 · 2016: 12 · 2015: 13 · 2014: 14 · 2013: 2 · 2012: 6
- FWCI
- 9.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Monthly Notices of the Royal Astronomical Society (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- arXiv (Cornell University)
- Funders
- National Science Foundation
- U.S. Department of Energy
- National Aeronautics and Space Administration
- Alfred P. Sloan Foundation
- Leverhulme Trust
- Max-Planck-Gesellschaft
- Japan Society for the Promotion of Science
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Topological and Geometric Data Analysis
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
- Keywords
- cosmic web, DisPerSE, topological data analysis, Morse theory, cosmic filaments, cosmic walls, cosmic voids, shot noise, friends of friends, topological invariants, X-ray clusters
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review