The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Galaxy Clusters in Hubble Volume Simulations: Cosmological Constraints from Sky Survey Populations
Open accessAbstract
We use gigaparticle N -body simulations to study galaxy cluster populations in Hubble volumes of ΛCDM (Ω m = 0.3, Ω Λ = 0.7) and τCDM (Ω m = 1) world models. Mapping past light cones of locations in the computational space, we create mock sky surveys of dark matter structure to z ≃ 1.4 over 10,000 deg 2 and to z ≃ 0.5 over two full spheres. Calibrating the Jenkins mass function at z = 0 with samples of ~1.5 million clusters, we show that the fit describes the sky survey counts to ≲20% accuracy over all redshifts for systems more massive than poor galaxy groups (5 × 10 13 h -1 M ☉ ). Fitting the observed local temperature function determines the ratio β of specific thermal energies in dark matter and intracluster gas. We derive a scaling with power spectrum normalization β ∝ σ and find that the ΛCDM model requires σ 8 = 1.04 to match β = 1.17 derived from gasdynamic cluster simulations. We estimate a 10% overall systematic uncertainty in σ 8 , 4% arising from cosmic variance in the local sample and the bulk from uncertainty in the absolute mass scale of clusters. Considering distant clusters, the ΛCDM model matches Extended Medium-Sensitivity Survey and ROSAT Deep Cluster Survey X-ray-selected observations under economical assumptions for intracluster gas evolution. Using transformations of mass-limited cluster samples that mimic σ 8 variation, we explore Sunyaev-Zeldovich (SZ) search expectations for a 10 deg 2 survey complete above 10 14 h -1 M ☉ . Cluster counts are shown to be extremely sensitive to σ 8 uncertainty, while redshift statistics, such as the sample median, are much more stable. Redshift information is crucial to extract the full cosmological diagnostic power of SZ cluster surveys. For ΛCDM, the characteristic temperature at a fixed sky surface density is a weak function of redshift, implying an abundance of hot clusters at z > 1. Assuming constant β, one 8 keV cluster at z > 2 and 10 5 keV clusters at z > 3 are expected in the Sloan Digital Sky Survey area. Too many such clusters can falsify the model; detection of clusters more massive than Coma at z > 1 violates ΛCDM at 95% confidence if their surface density exceeds 0.003 deg -2 , or 120 on the whole sky.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Universal Density Profile from Hierarchical Clustering
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1997) · The Astrophysical Journal · doi:10.1086/304888 · Cited by 9,917
Self-citationThe Structure of Cold Dark Matter Halos
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1996) · The Astrophysical Journal · doi:10.1086/177173 · Cited by 8,544
Self-citation
Cited by
The large-scale structure of the Universe
Springel, V., Frenk, C. S., & White, S. D. M. (2006) · Nature · doi:10.1038/nature04805 · Cited by 780
Self-citationAngulo, R. E., Springel, V., White, S. D. M., Jenkins, A., Baugh, C. M., & Frenk, C. S. (2012) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2012.21830.x · Cited by 490
Self-citationGrowth of cosmic structure: Probing dark energy beyond expansion
Huterer, D., Kirkby, D., Bean, R., Connolly, A., Dawson, K., Dodelson, S., Evrard, A., Jain, B., Jarvis, M., Linder, E., et al. (2015) · Astroparticle Physics · doi:10.1016/j.astropartphys.2014.07.004 · Cited by 143
Self-citation
Metadata
- Authors
- Evrard, A. E., MacFarland, T. J., Couchman, H. M. P., Colberg, J. M., Yoshida, N., White, S. D. M., Jenkins, A., Frenk, C. S., Pearce, F. R., Peacock, J. A., & Thomas (The Virgo Consortium), P. A.
- Venue
- The Astrophysical Journal
- Publisher
- American Astronomical Society
- Published
- 2002-07
- Volume
- 573
- Issue
- 1
- Pages
- 7-36
- ISSN
- 0004-637X (ISSN-L)
- 1538-4357
- OpenAlex
- W2096094069
- Cited by
- 365
- References
- 2
- FWCI
- 24.54
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Galaxy Clusters in Hubble Volume Simulations: Cosmological Constraints from Sky Survey Populations. https://app.cochat.ai/papers/10.1086/340551
- The paper
- Evrard, A. E., MacFarland, T. J., Couchman, H. M. P., Colberg, J. M., Yoshida, N., White, S. D. M., Jenkins, A., Frenk, C. S., Pearce, F. R., Peacock, J. A., & Thomas (The Virgo Consortium), P. A. (2002). Galaxy Clusters in Hubble Volume Simulations: Cosmological Constraints from Sky Survey Populations. The Astrophysical Journal. https://doi.org/10.1086/340551
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.