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Record W4221159463 · doi:10.3204/pubdb-2022-01612

Prospects for precise predictions of $a_\mu$ in the Standard Model

2022· preprint· en· W4221159463 on OpenAlexfundno aff
G. Colangelo, M. Davier, A. X. El-Khadra, M. Hoferichter, C. Lehner, L. Lellouch, T. Mibe, B. L. Roberts, T. Teubner, H. Wittig, B. Ananthanarayan, A. Bashir, J. Bijnens, T. Blum, P. Boyle, N. Bray-Ali, I. Caprini, C. M. Carloni Calame, O. Catà, Marco Cè, J. Charles, N. H. Christ, F. Curciarello, I. Danilkin, Dipika Robi Das, O. Deineka, Michele Della Morte, A. Denig, Carmen Domı́nguez, G. Eichmann, C. S. Fischer, A. Gérardin, D. Giusti, M. Golterman, Steven Gottlieb, Vera Gülpers, F. Hagelstein, M. Hayakawa, Nils Hermansson–Truedsson, Bai-Long Hoid, Simon Holz, T. Izubuchi, Andreas Jüttner, A. Keshavarzi, M. Knecht, Andreas S. Kronfeld, B. Kubis, A. Kupść, S. Lahert, K. F. Liu, J. Lüdtke, M. Lynch, B. Malaescu, K. Maltman, W. Marciano, Marina Krstić Marinković, P. Masjuan, H. B. Meyer, S. E. Müller, E. T. Neil, M. Passera, M. Pepe, S. Peris, A. A. Petrov, M. Procura, K. Raya, A. Rebhan, A. Risch, Antonio Rodríguez–Sánchez, P. Roig, P. Sánchez-Puertas, S. Simula, Peter Stoffer, R. Sugar, T. Tsang, R. S. Van de Water, G. Venanzoni, Georg von Hippel, Z. Zhang

Bibliographic record

VenueDESY (CERN, DESY, Fermilab, IHEP, and SLAC) · 2022
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersNuclear PhysicsDeutsche ForschungsgemeinschaftHigh Energy PhysicsStrongSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAgencia Estatal de InvestigaciónNatural Sciences and Engineering Research Council of CanadaU.S. Department of EnergyVetenskapsrådetDepartment of Science and Technology, Ministry of Science and Technology, IndiaGeneralitat de CatalunyaOffice of ScienceNational Research FoundationAustrian Science FundAgence Nationale de la RechercheFundación Marcos MoshinskyMinisterio de Ciencia, Innovación y UniversidadesEuropean CommissionJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilHorizon 2020 Framework ProgrammeAix-Marseille UniversitéCentres de Recerca de CatalunyaFermilabNational Science Foundation
KeywordsMuonAnomalous magnetic dipole momentStandard Model (mathematical formulation)HadronParticle physicsPhysicsMoment (physics)Nuclear physicsPhysics beyond the Standard ModelStatistical physicsGeographyClassical mechanics

Abstract

fetched live from OpenAlex

We discuss the prospects for improving the precision on the hadronic corrections to the anomalous magnetic moment of the muon, and the plans of the Muon $g-2$ Theory Initiative to update the Standard Model prediction.

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)0.011
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0050.011
Open science0.0040.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0090.003

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 head0.028
GPT teacher head0.294
Teacher spread0.266 · 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 designTheoretical or conceptual
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

Citations13
Published2022
Admission routes1
Has abstractyes

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