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Record W4280609442 · doi:10.1103/physrevd.105.093003

Evaluation of the three-flavor quark-disconnected contribution to the muon anomalous magnetic moment from experimental data

2022· article· pt· W4280609442 on OpenAlexfundno aff
Santiago Peris

Bibliographic record

VenuearXiv (Cornell University) · 2022
Typearticle
Languagept
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaConselho Nacional de Desenvolvimento Científico e TecnológicoGeneralitat de CatalunyaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorHigh Energy PhysicsU.S. Department of EnergyFundação de Amparo à Pesquisa do Estado de São PauloOffice of ScienceMinisterio de Ciencia, Innovación y Universidades
KeywordsAnomalous magnetic dipole momentMuonPhysicsObservableParticle physicsMagnetic momentVacuum polarizationHadronQuarkLattice (music)Electron magnetic dipole momentNuclear physicsMoment (physics)Polarization (electrochemistry)Theoretical physicsStatistical physicsMagnetic fieldCondensed matter physicsQuantum mechanicsMagnetization

Abstract

fetched live from OpenAlex

Theory predictions for g-2, the muon's anomalous magnetic moment, can be made with dispersive methods or with lattice calculations, but some current estimates show tension between the two. This becomes especially important in view of the apparent discrepancy with the experimental value. The authors of this Suggestion show how a subset of contributions to the hadronic vacuum polarization, the leading source of theory uncertainty, can be related to physical observables. The results can help isolate the disagreement between the differing calculations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
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 head0.083
GPT teacher head0.230
Teacher spread0.147 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations19
Published2022
Admission routes1
Has abstractyes

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