REVIEW 3 major objections 6 minor 3 cited by
Unveiling the largest structures in the nearby Universe: Discovery of the Quipu superstructure
T0 review · 3 major / 6 minor · reviewed 2026-08-09 · deepseek-v4-flash
Pith's one-line read Using X-ray-selected galaxy clusters between redshifts 0.03 and 0.06, this paper identifies five large superstructures and claims that the largest, Quipu, spans 428 Mpc with an estimated mass of about 2e17 solar masses, making it the…
desk verdict Quipu looks real as a large cluster overdensity, but the paper's headline mass and matter-fraction claims carry no error bars and rest on adopted volume and bias choices that could shift the numbers by a factor of two. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central machinery is a friends-of-friends percolation algorithm run on a flux-limited, all-sky X-ray cluster catalogue with a known selection function. The linking length is set to $l = (2N_{\rm Cl})^{-1/3}$ so that the selected structures sit at cluster overdensity $\Delta \sim 1$; the observed cluster overdensity is converted to a matter overdensity using a bias factor of about 1/3, and 1/2 for the Hercules structure; and each superstructure's volume is taken as the union of regions within 0.75 of the mean linking length, 28.875 Mpc, of any member cluster. The same construction is applied to clusters drawn from a Lambda-CDM simulation to predict how many superstructures should exist and how matter density should fall with distance from member clusters.
What would settle it
A complete redshift survey across the Zone of Avoidance between Quipu's two ends, or an independent matter-density reconstruction from peculiar velocities or weak lensing over the same volume, could test the claimed 428 Mpc length and $2\times10^{17}\,M_\odot$ mass. If the reconstructed matter overdensity within the adopted 28.875 Mpc radius is below roughly 0.25 rather than 0.5, the headline mass and the 25% matter share would have to be revised.
Extended reading notes
Core claim
The central claim is that the redshift shell z = 0.03 to 0.06 contains five coherent superstructures, each with at least 20 clusters joined by a friends-of-friends linking length tuned to the local cluster density. The largest, Quipu, is a filament of 68 X-ray clusters spanning 428 Mpc with an estimated mass of about $2.4\times10^{17}\,M_\odot$; the five structures together account for about 45% of clusters, 30% of galaxies, and 25% of matter in 13% of the surveyed volume. The paper argues these are genuine physical entities rather than chance cluster associations: the galaxy overdensity extends out to about 45 Mpc around them, and Lambda-CDM simulations produce similar superstructures at a comparable rate. It further claims that such structures should alter cosmic microwave background photons through the time-evolution of their gravitational potentials, with an expected temperature shift of several microkelvin, and that a search of CMB maps finds a signal of the expected amplitude but at low significance.
Load-bearing premise
The headline numbers assume that cluster counts trace matter density with a fixed bias factor of about 1/3, or 1/2 for Hercules, and that each superstructure's volume is the region within 28.875 Mpc of a member cluster; if either choice is wrong by a factor of two, the mass, the 25% matter share, and the volume fraction change by a comparable factor, and the paper propagates no uncertainty into them.
Editorial extensions
If this is right
- Quipu is claimed to be the largest coherent cosmic structure known: 428 Mpc long, about $2\times10^{17}\,M_\odot$ in mass, and containing 68 X-ray cluster members.
- The five superstructures hold about 45% of clusters, 30% of galaxies, and 25% of matter in 13% of the surveyed volume, so local cosmological measurements such as the Hubble constant, CMB maps, and lensing must account for them.
- Superstructure environments are distinct from field environments: galaxy density remains above the mean out to about 45 Mpc from member clusters, versus about 30 Mpc around clusters not in superstructures.
- Lambda-CDM simulations produce comparable superstructures at comparable numbers, so these objects are consistent with standard structure formation rather than anomalies.
- The evolving potentials of these superstructures should create a late-time CMB temperature shift of roughly 3 to 5 microkelvin; the observed shift has the expected amplitude but less than $1\sigma$ significance.
Reading between the lines
- The mass and volume-share numbers rest on adopted bias and volume choices; an independent calibration of the cluster-to-matter bias or a different linking radius could move the 25% matter share by up to a factor of two without destroying the existence of the structures.
- If deeper surveys across the Zone of Avoidance fill the gap between Quipu and the neighbouring Vela supercluster, the quoted 428 Mpc length would become a lower limit and the connected structure could exceed 500 Mpc.
- Applying the same method to deeper future X-ray cluster catalogues could test whether superstructures of this size are as abundant at higher redshift, where their CMB imprint should be stronger and easier to detect.
- The finding that galaxy density is enhanced out to about 45 Mpc implies that environmental studies of galaxy evolution should treat the whole superstructure, not individual clusters, as the environmental unit; measuring quenched fractions or star-formation rates across that region would test whether the environment is physically special.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper presents an all-sky search for superstructures in the redshift shell z = 0.03–0.06 using the CLASSIX X-ray cluster sample. A friends-of-friends algorithm with a density-adapted linking length yields five superstructures, the largest of which (Quipu) has a quoted length of 428 Mpc and an estimated mass of about 2.4×10^17 Msun. The authors compare the cluster distribution with 2MASS galaxies, find analogous superstructures in the Millennium simulation, and estimate the integrated Sachs-Wolfe (ISW) effect, reporting a Planck signal of expected amplitude but with significance below 1σ. The paper concludes that the five superstructures contain about 45% of clusters, 30% of galaxies, and 25% of matter in 13% of the surveyed volume.
Significance. If the quantitative claims are correct, Quipu would be a remarkable object and the first all-sky census of the largest structures in a poorly explored redshift shell. The paper is built on a well-characterized cluster sample with spectroscopic redshifts and a published selection function, and the discovery is visually corroborated by the independent 2MASS galaxy maps. The ISW estimate is presented honestly as a low-significance signal of expected strength, not a detection. The comparison with the Millennium simulation is a useful sanity check. However, the headline masses, volume fractions, and matter fractions rest on adopted, unpropagated calibration choices, and at least one of the quoted percentages mixes observed and simulated volume definitions. The existence of Quipu as a coherent filamentary overdensity is well supported; the precise quantitative claims need revision.
major comments (3)
- [Section 4 and Table 1]
- [Section 6, Table 2, and the conclusion]
- [Section 6 and Table 2]
minor comments (6)
- [Section 9]
- [Key words]
- [Abstract, Sections 8.2 and 9]
- [Abstract]
- [Section 4 and Abstract]
- [Figure 12]
Circularity Check
No significant circularity: the superstructure detection, mass estimates, and ISW comparison are data-driven or use openly adopted calibrations, not fits to the claimed results.
full rationale
The central discovery is a friends-of-friends grouping of observed X-ray clusters with a linking length set by the local cluster density (Sect. 4), and the paper checks the resulting structures against the independent 2MASS galaxy distribution and the Millennium simulation (Sects. 5 and 6), so the identification is not equivalent to its inputs. The mass estimates in Table 1 are computed from an adopted volume (0.75 of the mean linking length) times cluster overdensity divided by a bias factor; the bias factor is quoted from Tinker et al. (2010) and CLASSIX clustering studies, and the volume convention is explicitly described as 'plausible' and 'adopted' rather than fitted to the headline mass or the 25% matter fraction. The '25% of matter' statement is therefore a stated conversion convention, not a prediction derived from itself; a different radius or bias would change the number, but that is calibration sensitivity, not circularity. The ISW section uses four independent spherical models with masses that do not reproduce the Table 1 masses in detail, and the Planck search is reported as less than 1 sigma, so there is no fitting-then-claiming loop. Self-citations are present but not load-bearing in a circular sense: the methods are re-derived or cross-checked with simulations and external references in this paper. No equation or parameter is defined in terms of the claimed result, and no fitted input is renamed as a prediction.
Assumptions & free parameters
free parameters (5)
- FoF linking length =
26 to 56 Mpc (mean 38.5 Mpc)
- Minimum member threshold =
20 clusters
- Matter bias factor =
≈1/3 (1/2 for Hercules)
- Volume assignment radius =
28.875 Mpc (0.75 times the mean linking length)
- ISW model mass and profile =
2e16 to 3e16 M_sun inside 40 Mpc; top-hat and r^-1.8 profiles
assumptions (5)
- domain assumption X-ray luminosity is tightly correlated with cluster mass (Pratt et al. 2009; Böhringer et al. 2012)
- domain assumption Cluster distribution traces the matter distribution with a known linear bias, validated on the Millennium simulation
- domain assumption The CLASSIX selection function and completeness (including the Zone of Avoidance) are correct in the target redshift range
- domain assumption The Millennium simulation with Planck/Lambda-CDM cosmology provides a fair comparison population for superstructure abundance
- domain assumption Planck CMB maps and masks are adequately cleaned for the cross-correlation
Cite this review
Pith. "Pith review of Unveiling the largest structures in the nearby Universe: Discovery of the Quipu superstructure." pith.science (2026). https://pith.science/paper/QXY2LBYR
@misc{pith2026250119236,
author = {Pith},
title = {Pith review of: Unveiling the largest structures in the nearby Universe: Discovery of the Quipu superstructure},
year = {2026},
howpublished = {\url{https://pith.science/paper/QXY2LBYR}},
note = {Machine review of arXiv:2501.19236}
}
read the original abstract
For a precise determination of cosmological parameters we need to understand the effects of the local large-scale structure of the Universe on the measurements. They include modifications of the cosmic microwave background, distortions of sky images by large-scale gravitational lensing, and the influence of large-scale streaming motions on measurements of the Hubble constant. The streaming motions, for example, originate from mass concentrations with distances up to 250 Mpc. In this paper we provide the first all-sky assessment of the largest structures at distances between 130 and 250 Mpc and discuss their observational consequences, using X-ray galaxy clusters to map the matter density distribution. Among the five most prominent superstructures found, the largest has a length longer than 400 Mpc with an estimated mass of about 2 10e17 Msun. This entity, which we named Quipu, is the largest cosmic structure discovered to date. These superstructures contain about 45% of the galaxy clusters, 30% of the galaxies, 25% of the matter, and occupy a volume fraction of 13%, thus constituting a major part of the Universe. The galaxy density is enhanced in the environment of superstructures out to larger distances from the nearest member clusters compared to the outskirts of clusters in the field. We find superstructures with similar properties in simulations based on Lambda-CDM cosmology models. We show that the superstructures should produce a modification on the cosmic microwave background through the integrated Sachs-Wolf effect. Searching for this effect in the Planck data we found a signal of the expected strength, however, with low significance. Characterising these superstructures is also important for astrophysical research, for example the study of the environmental dependence of galaxy evolution as well as for precision tests of cosmological models.
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Reference graph
Works this paper leans on
-
[1]
Balaguera-Antolínez, A., Sánchez, A. G., Böhringer, H., et al. 2011, MNRAS, 413, 386
work page 2011
- [2]
-
[3]
Bilicki, M., Jarrett, T. H., Peacock, J. A., Cluver, M. E., & Steward, L. 2014, ApJS, 210, 9 Böhringer, H. & Chon, G. 2021, A&A, 656, A144 Böhringer, H., Chon, G., & Collins, C. A. 2020, A&A, 633, A19 Böhringer, H., Chon, G., Collins, C. A., et al. 2013, A&A, 555, A30 Böhringer, H., Chon, G., Retzlaff, J., et al. 2017, AJ, 153, 220 Böhringer, H., Chon, G....
work page 2014
-
[4]
2024, A&A, 685, A106
Bulbul, E., Liu, A., Kluge, M., et al. 2024, A&A, 685, A106
2024
-
[5]
Cai, Y .-C., Cole, S., Jenkins, A., & Frenk, C. S. 2010, MNRAS, 407, 201
work page 2010
-
[6]
Cautun, M., van de Weygaert, R., Jones, B. J. T., & Frenk, C. S. 2014, MNRAS, 441, 2923
2014
- [7]
-
[8]
Chon, G., Böhringer, H., Collins, C. A., & Krause, M. 2014, A&A, 567, A144
work page 2014
Show all 51 references
-
[9]
2015, A&A, 575, L14
Chon, G., Böhringer, H., & Zaroubi, S. 2015, A&A, 575, L14
2015
-
[10]
M., Dupuy, A., Guinet, D., et al
Courtois, H. M., Dupuy, A., Guinet, D., et al. 2023, A&A, 670, L15
2023
-
[11]
M., Kraan-Korteweg, R
Courtois, H. M., Kraan-Korteweg, R. C., Dupuy, A., Graziani, R., & Libeskind, N. I. 2019, MNRAS, 490, L57
2019
-
[12]
M., Tully, R
Courtois, H. M., Tully, R. B., Hoffman, Y ., et al. 2017, ApJ, 847, L6
2017
-
[13]
1996, in American Astronomical So- ciety Meeting Abstracts, V ol
Crittenden, R., Boughn, S., & Turok, N. 1996, in American Astronomical So- ciety Meeting Abstracts, V ol. 189, American Astronomical Society Meeting Abstracts, 51.04
1996
-
[14]
& Huchra, J
Davis, M. & Huchra, J. 1982, ApJ, 254, 437 de Lapparent, V ., Geller, M. J., & Huchra, J. P. 1986, ApJ, 302, L1
1982
-
[15]
G., Pilipenko, S., et al
Dolag, K., Sorce, J. G., Pilipenko, S., et al. 2023, A&A, 677, A169
2023
-
[16]
2016, A&A, 595, A70
Einasto, M., Lietzen, H., Gramann, M., et al. 2016, A&A, 595, A70
2016
-
[17]
& Enßlin, T
Frommert, M. & Enßlin, T. A. 2009, MNRAS, 395, 1837
2009
-
[18]
Fry, J. N. & Peebles, P. J. E. 1980, ApJ, 238, 785
1980
-
[19]
Giannantonio, T., Crittenden, R., Nichol, R., & Ross, A. J. 2012, MNRAS, 426, 2581
2012
-
[20]
P., & Chincarini, G
Giovanelli, R., Haynes, M. P., & Chincarini, G. L. 1986, ApJ, 300, 77
1986
-
[21]
R., Neyrinck, M
Granett, B. R., Neyrinck, M. C., & Szapudi, I. 2008, ApJ, 683, L99
2008
-
[22]
Groth, E. J. & Peebles, P. J. E. 1977, ApJ, 217, 385
1977
-
[23]
2009, A&A, 499, 357
Guzzo, L., Schuecker, P., Böhringer, H., et al. 2009, A&A, 499, 357
2009
-
[24]
M., & Tully, R
Hoffman, Y ., Courtois, H. M., & Tully, R. B. 2015, MNRAS, 449, 4494
2015
-
[25]
P., Macri, L
Huchra, J. P., Macri, L. M., Masters, K. L., et al. 2012, ApJS, 199, 26 Jõeveer, M., Einasto, J., & Tago, E. 1978, MNRAS, 185, 357
2012
-
[26]
& Lavaux, G
Jasche, J. & Lavaux, G. 2019, A&A, 625, A64
2019
-
[27]
F., et al
Kogut, A., Lineweaver, C., Smoot, G. F., et al. 1993, ApJ, 419, 1
1993
-
[28]
C., Cluver, M
Kraan-Korteweg, R. C., Cluver, M. E., Bilicki, M., et al. 2017, MNRAS, 466, L29
2017
-
[29]
I., van de Weygaert, R., Cautun, M., et al
Libeskind, N. I., van de Weygaert, R., Cautun, M., et al. 2018, MNRAS, 473, 1195
2018
-
[30]
2024, A&A, 689, A226
Lilow, R., Ganeshaiah Veena, P., & Nusser, A. 2024, A&A, 689, A226
2024
-
[31]
M., Kraan-Korteweg, R
Macri, L. M., Kraan-Korteweg, R. C., Lambert, T., et al. 2019, ApJS, 245, 6
2019
-
[32]
2013, Phys
Marra, V ., Amendola, L., Sawicki, I., & Valkenburg, W. 2013, Phys. Rev. Lett., 110, 241305
2013
-
[33]
H., Courtois, H., et al
Mould, J., Jarrett, T. H., Courtois, H., et al. 2024, MNRAS, 533, 925
2024
-
[34]
& Crittenden, R
Nadathur, S. & Crittenden, R. 2016, ApJ, 830, L19
2016
-
[35]
2014, ApJ, 788, 157
Nusser, A., Davis, M., & Branchini, E. 2014, ApJ, 788, 157
2014
-
[36]
Oort, J. H. 1983, ARA&A, 21, 373 Planck Collaboration, Adam, R., Ade, P. A. R., et al. 2016a, A&A, 594, A9 Planck Collaboration, Ade, P. A. R., Aghanim, N., et al. 2016b, A&A, 594, A13 Planck Collaboration, Ade, P. A. R., Aghanim, N., et al. 2016c, A&A, 594, A21
1983
-
[37]
& Kolokotronis, V
Plionis, M. & Kolokotronis, V . 1998, ApJ, 500, 1
1998
-
[38]
& Valdarnini, R
Plionis, M. & Valdarnini, R. 1991, MNRAS, 249, 46
1991
-
[39]
W., Croston, J
Pratt, G. W., Croston, J. H., Arnaud, M., & Böhringer, H. 2009, A&A, 498, 361
2009
-
[40]
R., & Maze, J
Reisenegger, A., Quintana, H., Carrasco, E. R., & Maze, J. 2000, AJ, 120, 523
2000
-
[41]
J., et al
Rowan-Robinson, M., Sharpe, J., Oliver, S. J., et al. 2000, MNRAS, 314, 375
2000
-
[42]
Sachs, R. K. & Wolfe, A. M. 1967, in Liege International Astrophysical Collo- quia, V ol. 15, Liege International Astrophysical Colloquia, 59
1967
-
[43]
1991, ApJ, 376, L1
Scaramella, R., Vettolani, G., & Zamorani, G. 1991, ApJ, 376, L1
1991
-
[44]
Springel, V ., White, S. D. M., Jenkins, A., et al. 2005, Nature, 435, 629
2005
-
[45]
A., Yahil, A., Davis, M., Huchra, J
Strauss, M. A., Yahil, A., Davis, M., Huchra, J. P., & Fisher, K. 1992, ApJ, 397, 395
1992
-
[46]
L., Robertson, B
Tinker, J. L., Robertson, B. E., Kravtsov, A. V ., et al. 2010, ApJ, 724, 878
2010
-
[47]
1993, Science, 260, 1769
Truemper, J. 1993, Science, 260, 1769
1993
-
[48]
B., Courtois, H
Tully, R. B., Courtois, H. M., & Sorce, J. G. 2016, AJ, 152, 50
2016
-
[49]
B., Pomarède, D., Graziani, R., et al
Tully, R. B., Pomarède, D., Graziani, R., et al. 2019, ApJ, 880, 24
2019
-
[50]
Whitbourn, J. R. & Shanks, T. 2014, MNRAS, 437, 2146
2014
-
[51]
Yahil, A., Sandage, A., & Tammann, G. A. 1980, ApJ, 242, 448 Article number, page 13 of 14 A&A proofs: manuscript no. Superstruc Appendix A: Cluster catalogue Table A.1. Catalogue of the 185 clusters in the five superstructures. name RA DEC redshift LX,500 M200 Quipu RXCJ0150....
1980
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