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Record W4403757668 · doi:10.1051/0004-6361/202451755

Examining the local Universe isotropy with galaxy cluster velocity dispersion scaling relations

2024· article· en· W4403757668 on OpenAlexfundno aff
K. Migkas, T. H. Reiprich, A. Stanford, F. Pacaud, Gerrit Schellenberger, L. Lovisari, M. E. Ramos-Ceja, N. T. Nguyen-Dang

Bibliographic record

VenueAstronomy and Astrophysics · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersInstitut sur la Nutrition et les Aliments Fonctionnels
KeywordsPhysicsAstrophysicsVelocity dispersionScalingIsotropyGalaxy clusterCluster (spacecraft)AstronomyGalaxyUniverseBrightest cluster galaxySupercluster (genetic)Quantum mechanicsGeometry

Abstract

fetched live from OpenAlex

Context. In standard cosmology, the Universe is assumed to be statistically homogeneous and isotropic. This assumption suggests that the expansion rate of the Universe, as measured by the Hubble parameter, should be the same in all directions. However, our recent study based on galaxy clusters finds an apparent angular variation of approximately 9% in the Hubble constant, H0, across the sky. In the study, the authors utilised galaxy cluster scaling relations between various cosmology-dependent cluster properties and a cosmology-independent property, i.e. the temperature of the intracluster gas (T). A position-dependent systematic bias of T measurements can, in principle, result in an overestimation of apparent H0 variations. Therefore, it is crucial to confirm or exclude this possibility. Aims. In this work, we search for directional T measurement biases by examining the relationship between the member galaxy velocity dispersion and gas temperature (σv − T) of galaxy clusters. Both measurements are independent of any cosmological assumptions and do not suffer from the same potential systematic biases. Additionally, we search for apparent H0 angular variations independently of T by analysing the relations between the X-ray luminosity and Sunyaev-Zeldovich signal with the velocity dispersion, LX − σv and YSZ − σv. Methods. To study the angular variation of scaling relation parameters, we determined the latter for different sky patches across the extra-galactic sky. We constrained the possible directional T bias using the σv − T relation, as well as the apparent H0 variations using the LX − σv and YSZ − σv relations. We utilised Monte Carlo simulations of isotropic cluster samples to quantify the statistical significance of any observed anisotropies. We calculated and rigorously took into account a correlation of LX and YSZ residuals. Results. No significant directional T measurement biases are found from the σv − T anisotropy study. The probability that the previously observed H0 anisotropy is caused by a directional T bias is only 0.002%. On the other hand, from the joint analysis of the LX − σv and YSZ − σv relations, the maximum variation of H0 is found in the direction of (295 ° ±71 ° , − 30 ° ±71 ° ) with a statistical significance of 3.64σ, fully consistent with our previous results. Conclusions. Our findings, based on the analysis of new scaling relations utilising a completely independent cluster property, σv, strongly corroborate the previously detected anisotropy of galaxy cluster scaling relations. The underlying cause, for example, H0 angular variation or large-scale bulk flows of matter, remains to be identified.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.187
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2024
Admission routes1
Has abstractyes

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