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arxiv: 2606.13538 · v1 · pith:5VTWVPV6new · submitted 2026-06-11 · 🌌 astro-ph.CO

A local Universe catalogue of structures and voids dynamically identified using Cosmic-Flows4++ZOA peculiar velocities

A.M. Hollinger , H. M. Courtois This is my paper

Pith reviewed 2026-06-27 05:43 UTC · model grok-4.3

classification 🌌 astro-ph.CO
keywords cosmic voidsknotscosmic webpeculiar velocitieslarge-scale structurelocal UniverseV-web algorithm
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The pith

Peculiar velocity data yields catalogues of 37 voids and 42 knots in the local Universe.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper applies the V-web algorithm to the CosmicFlows-4++ZOA peculiar velocity catalogue to trace expanding and converging regions out to redshift 0.1. This produces a dynamically motivated map of the local cosmic web. Structures exceeding survey boundaries are removed, resulting in 37 voids with effective radii of 13 to 38 h^{-1}Mpc and 42 knots with volumes from 10^4 to 3.3x10^5 h^{-3} Mpc^3. Robustness is checked across an ensemble of Hamiltonian Monte Carlo realizations. The approach uses velocity information to complement density-based views of large-scale structure growth.

Core claim

We present a comprehensive catalogue of the main local Universe cosmic web voids and knots, using the updated CosmicFlows-4++ Zone of Avoidance (CF4++ZOA) catalogue out to redshift z=0.1. To do this we use the V-web algorithm which provides a dynamically motivated map of the local cosmic web, tracing the major expanding and converging regions of the local Universe. The robustness of the catalogue is assessed using the ensemble of Hamiltonian Monte Carlo realizations of the CF4++ZOA reconstruction. We additionally remove any structure that exceeds the survey boundaries and present catalogues of 37 voids and 42 knot regions within the reconstructed survey volume. The identified emptying region

What carries the argument

The V-web algorithm, which classifies regions of the reconstructed velocity field into expanding voids and converging knots.

If this is right

  • 37 voids are identified with effective radii ranging from 13 to 38 h^{-1}Mpc.
  • 42 knot regions are identified with volumes ranging from 10^4 to 3.3x10^5 h^{-3} Mpc^3.
  • Structures that exceed the survey boundaries are excluded from the final catalogues.
  • The identification remains consistent across the ensemble of Hamiltonian Monte Carlo realizations of the reconstruction.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The velocity-based catalogue can be cross-checked against galaxy density maps in the same volume to test consistency of web classification methods.
  • These regions supply a local benchmark for comparing observed structure growth against N-body simulations.
  • The method could be applied to future deeper peculiar velocity surveys to extend the catalogue beyond z=0.1.

Load-bearing premise

The V-web algorithm applied to the CF4++ZOA velocity reconstruction accurately separates dynamically expanding voids from converging knots without significant contamination from survey boundaries or reconstruction noise.

What would settle it

An independent reconstruction of the local velocity field that produces a substantially different number, size distribution, or spatial arrangement of voids and knots would falsify the catalogue.

Figures

Figures reproduced from arXiv: 2606.13538 by A.M. Hollinger, H. M. Courtois.

Figure 1
Figure 1. Figure 1: Comparison of the CF4++ZOA local density perturba￾tion field (left) and the V-web classification (right), through the SGZ=-27 h −1Mpc plane. row et al. 1985; Naidoo et al. 2020). Dynamical classifications based on the velocity shear tensor offer an alternative frame￾work by linking structures directly to anisotropic gravitational collapse (Hahn et al. 2007; Hoffman et al. 2012; Pomarède et al. 2017). In th… view at source ↗
Figure 2
Figure 2. Figure 2: The shaded regions depict the spatial distribution of voids [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Comparison of the void locations identified in this work [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
read the original abstract

Cosmic voids and superclusters are among the largest structures in the Universe and provide complementary probes of the growth of large-scale structure and the underlying gravitational field. We present a comprehensive catalogue of the main local Universe cosmic web voids and knots, using the updated CosmicFlows-4++ Zone of Avoidance (CF4++ZOA) catalogue out to redshift z=0.1. To do this we use the V-web algorithm which provides a dynamically motivated map of the the local cosmic web, tracing the major expanding and converging regions of the local Universe. The robustness of the catalogue is assessed using the ensemble of Hamiltonian Monte Carlo realizations of the CF4++ZOA reconstruction. We additionally remove any structure that exceeds the survey boundaries and present catalogues of 37 voids and 42 knot regions within the reconstructed survey volume. The identified emptying regions (voids) have effective radii ranging from 13 to 38 h-1Mpc. The high density converging regions (knots) have volumes ranging from 10^4 to 3.3x10^5 h-3 Mpc^3.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

Summary. The manuscript presents catalogues of 37 voids and 42 knot regions in the local Universe (z < 0.1) identified via the V-web algorithm applied to the CF4++ZOA peculiar velocity reconstruction. Voids are reported with effective radii 13–38 h^{-1} Mpc; knots have volumes 10^4–3.3 imes10^5 h^{-3} Mpc^3. Robustness is assessed via the HMC ensemble of reconstructions, with structures exceeding survey boundaries removed.

Significance. If the identifications hold, the catalogue supplies a dynamically motivated reference for the local cosmic web that can be used to study environmental effects on galaxies, compare with simulations, and complement other tracers such as galaxy surveys or weak lensing. The work applies an established algorithm to an updated velocity field, extending prior catalogues in a direct and useful manner.

minor comments (2)
  1. [Abstract] Abstract: typographical error in 'map of the the local cosmic web' (duplicate 'the').
  2. [Abstract] Abstract (robustness paragraph): the statement that robustness was assessed via the HMC ensemble would benefit from a brief quantitative summary (e.g., fraction of structures stable across realizations or typical boundary-exclusion rate) for clarity, even though the central catalogue counts are presented as the main result.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive summary, assessment of significance, and recommendation of minor revision. No major comments were provided in the report.

Circularity Check

0 steps flagged

Direct application of existing V-web algorithm to external catalogue; no circular derivation

full rationale

The paper applies the pre-existing V-web algorithm to the independent CF4++ZOA velocity reconstruction to identify voids and knots, then reports counts (37 voids, 42 knots), size ranges, and boundary/ensemble robustness checks. No equations, self-definitions, fitted parameters renamed as predictions, or load-bearing self-citations appear in the derivation chain. The central output is a catalogue from direct algorithmic processing of external data, making the result self-contained against external benchmarks with no reduction to inputs by construction.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Only the abstract is available; no explicit free parameters, axioms, or invented entities are stated. The V-web algorithm and velocity reconstruction are treated as established inputs.

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