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Record W4389546980 · doi:10.1103/physrevd.108.123519

Hyper Suprime-Cam Year 3 results: Cosmology from cosmic shear power spectra

2023· article· en· W4389546980 on OpenAlexfundno aff
Roohi Dalal, Xiangchong Li, Andrina Nicola, J. Zuntz, Michael A. Strauss, Sunao Sugiyama, Tianqing Zhang, Markus Michael Rau, Rachel Mandelbaum, Masahiro Takada, Surhud More, Hironao Miyatake, Arun Kannawadi, Masato Shirasaki, Takanori Taniguchi, Ryuichi Takahashi, Ken Osato, Takashi Hamana, Masamune Oguri, Atsushi J. Nishizawa, A. A. Plazas, Tomomi Sunayama, David Alonso, Anže Slosar, Wentao Luo, Robert Armstrong, James Bosch, Bau-Ching Hsieh, 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 DivisionFundamental Research Funds for the Central UniversitiesJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilScience Mission DirectorateSmithsonian Astrophysical ObservatoryEötvös Loránd TudományegyetemNational Astronomical Observatory of JapanMinistry of Education, Culture, Sports, Science and TechnologyQueen's UniversityCore Research for Evolutional Science and TechnologyCabinet Office, Government of JapanGordon and Betty Moore FoundationQueen's University BelfastMax-Planck-Institut für AstronomieUniversity of EdinburghNational Key Research and Development Program of ChinaSpace Telescope Science InstituteToray Science FoundationHigher Education Discipline Innovation ProjectHigh Energy Accelerator Research OrganizationUniversity of TokyoLos Alamos National LaboratoryPrinceton UniversityJohns Hopkins UniversityMax-Planck-GesellschaftSimons FoundationDurham UniversityJapan Science and Technology AgencyU.S. Department of EnergyNational Natural Science Foundation of ChinaSmithsonian InstitutionUniversity of MarylandNational Aeronautics and Space AdministrationUniversity of Hawai'iNational Central UniversityAcademia SinicaNational Science Foundation
KeywordsPhysicsAstrophysicsGalaxyRedshiftCosmologyWeak gravitational lensingSpectral densityCOSMIC cancer databaseMatter power spectrumPlanckObservational cosmologyPhotometric redshiftCosmic varianceAstronomyStatistics

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)0.005
metaresearch head score (Gemma)0.011
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 score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.004

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 head0.013
GPT teacher head0.349
Teacher spread0.335 · 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

Citations196
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePhysical review. D/Physical review. D.Same topicGalaxies: Formation, Evolution, PhenomenaFrench-language works237,207