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Record W4403802633 · doi:10.1088/1361-6471/ad1a78

The strong coupling constant: state of the art and the decade ahead

2024· article· en· W4403802633 on OpenAlexfundno aff
D. d’Enterria, S. Kluth, G Zanderighi, César Ayala, Miguel A. Benitez-Rathgeb, J. Blümlein, Diogo Boito, Nora Brambilla, D. Britzger, S. Camarda, A. M. Cooper-Sarkar, Thomas Cridge, Gorazd Cvetič, Mattia Dalla Brida, A. Deur, F. Giuli, Maarten Golterman, André H. Hoang, J. Huston, Matthias Jamin, A. V. Kotikov, V.G. Krivokhizhin, A S Kronfeld, Viljami Leino, K. Lipka, Tomi P. Mäkelä, B. Malaescu, Kim Maltman, Simone Marzani, Vicent Mateu, S. Moch, Pier Francesco Monni, Pavel Nadolsky, Paolo Nason, A. V. Nesterenko, Redamy Pérez-Ramos, Santiago Peris, Péter Petreczky, Antonio Pich, K. Rabbertz, Alberto Ramos, Daniel Reichelt, Antonio Rodríguez–Sánchez, Juan Rojo, M. Saragnese, L. Sawyer, M Schott, S. Schumann, B. G. Shaikhatdenov, Stefan Sint, Grégory Soyez, Diego Teca, Antonio Vairo, M. Vos, Christopher M. Waits, Johannes Heinrich Weber, M. Wobisch, Kang Xie

Bibliographic record

VenueJournal of Physics G Nuclear and Particle Physics · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersH2020 Excellent ScienceHigh Energy PhysicsNatural Sciences and Engineering Research Council of CanadaHorizon 2020 Framework ProgrammeConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorU.S. Department of EnergyAgencia Estatal de InvestigaciónFundação de Amparo à Pesquisa do Estado de São PauloOffice of ScienceAustrian Science FundMinisterio de Ciencia, Innovación y UniversidadesUniversität WienScience and Technology Facilities CouncilStrong
KeywordsConstant (computer programming)State (computer science)Coupling constantCoupling (piping)PhysicsStatistical physicsTheoretical physicsEngineering physicsComputer scienceQuantum mechanicsEngineeringMechanical engineeringAlgorithm

Abstract

fetched live from OpenAlex

Abstract Theoretical predictions for particle production cross sections and decays at colliders rely heavily on perturbative Quantum Chromodynamics (QCD) calculations, expressed as an expansion in powers of the strong coupling constant α S . The current O ( 1 % ) uncertainty of the QCD coupling evaluated at the reference Z boson mass, α S ( m Z 2 ) = 0.1179 ± 0.0009 , is one of the limiting factors to more precisely describe multiple processes at current and future colliders. A reduction of this uncertainty is thus a prerequisite to perform precision tests of the Standard Model as well as searches for new physics. This report provides a comprehensive summary of the state-of-the-art, challenges, and prospects in the experimental and theoretical study of the strong coupling. The current α S ( m Z 2 ) world average is derived from a combination of seven categories of observables: (i) lattice QCD, (ii) hadronic τ decays, (iii) deep-inelastic scattering and parton distribution functions fits, (iv) electroweak boson decays, hadronic final-states in (v) e+e−, (vi) e–p, and (vii) p–p collisions, and (viii) quarkonia decays and masses. We review the current status of each of these seven α S ( m Z 2 ) extraction methods, discuss novel α S determinations, and examine the averaging method used to obtain the world-average value. Each of the methods discussed provides a ‘wish list’ of experimental and theoretical developments required in order to achieve the goal of a per-mille precision on α S ( m Z 2 ) within the next decade.

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)0.010
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0010.005
Scholarly communication0.0060.011
Open science0.0030.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0120.007

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 head0.012
GPT teacher head0.261
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2024
Admission routes1
Has abstractyes

Explore more

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