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Record W4389548443 · doi:10.1103/physrevd.108.123518

Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear two-point correlation functions

2023· article· en· W4389548443 on OpenAlexfundno aff
Xiangchong Li, Tianqing Zhang, Sunao Sugiyama, Roohi Dalal, Ryo Terasawa, Markus Michael Rau, Rachel Mandelbaum, Masahiro Takada, Surhud More, Michael A. Strauss, Hironao Miyatake, Masato Shirasaki, Takashi Hamana, Masamune Oguri, Wentao Luo, Atsushi J. Nishizawa, Ryuichi Takahashi, Andrina Nicola, Ken Osato, Arun Kannawadi, Tomomi Sunayama, R. Armstrong, James Bosch, Yutaka Komiyama, Robert H. Lupton, Nate B. Lust, Lauren A. MacArthur, Satoshi Miyazaki, Hitoshi Murayama, Takahiro Nishimichi, Yuki Okura, P. A. Price, Philip J. Tait, Masayuki Tanaka, Shiang‐Yu Wang

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersPlanetary Science DivisionJapan Society for the Promotion of ScienceScience Mission DirectorateSmithsonian Astrophysical ObservatoryMax-Planck-Institut für AstronomieToray Science FoundationUniversity of TokyoHigh Energy Accelerator Research OrganizationNational Astronomical Observatory of JapanMinistry of Education, Culture, Sports, Science and TechnologyQueen's UniversityCore Research for Evolutional Science and TechnologyCabinet Office, Government of JapanSpace Telescope Science InstituteLos Alamos National LaboratoryPrinceton UniversityJohns Hopkins UniversityMax-Planck-GesellschaftSimons FoundationGordon and Betty Moore FoundationQueen's University BelfastNational Aeronautics and Space AdministrationNational Central UniversityEötvös Loránd TudományegyetemAcademia SinicaJapan Science and Technology AgencySmithsonian InstitutionU.S. Department of EnergyDurham UniversityNational Science Foundation
KeywordsPhysicsAstrophysicsRedshiftCosmologyGalaxyPhotometric redshiftCosmic microwave backgroundObservational cosmologyCOSMIC cancer databaseAstronomyReionizationDark matterRedshift survey

Abstract

fetched live from OpenAlex

A new analysis of the distribution of matter in the Universe continues to find a discrepancy in the clumpiness of dark matter in the late and early Universe, suggesting a fundamental error in the standard cosmological model.

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)0.006
metaresearch head score (Gemma)0.016
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.003

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 head0.015
GPT teacher head0.348
Teacher spread0.333 · 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

Citations141
Published2023
Admission routes1
Has abstractyes

Explore more

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