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Record W2521821091 · doi:10.1103/physrevd.95.032001

Search for anomalous electroweak production of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>W</mml:mi><mml:mi>W</mml:mi><mml:mo stretchy="false">/</mml:mo><mml:mi>W</mml:mi><mml:mi>Z</mml:mi></mml:mrow></mml:math> in association with a high-mass dijet system in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mi>p</mml:mi></mml:mrow></mml:math> collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mrow><mml:msqrt><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msqrt><mml:mo>=</mml:mo><mml:mn>8</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext></mml:mrow><mml:mi>TeV</mml:mi></mml:mrow></mml:math> with the ATLAS detector

2017· article· lv· W2521821091 on OpenAlexafffund
M. Aaboud, G. Aad, B. Abbott, J. Abdallah, O. Abdinov, B. Abeloos, R. Aben, N. L. Abraham, H. Abramowicz, H. Abreu, R. Abreu, Y. Abulaiti, B. S. Acharya, Shin‐ichi Adachi, L. Adamczyk, David L. Adams, J. Adelman, T. Adye, A. A. Affolder, G. Aielli, H. Åkerstedt

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2017
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsInstitute of Particle Physics
FundersH2020 Marie Skłodowska-Curie ActionsInstitut National de Physique Nucléaire et de Physique des ParticulesSeventh Framework ProgrammeInstituto Nazionale di Fisica NucleareAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaAustralian Research CouncilJapan Society for the Promotion of ScienceNational Research Center "Kurchatov Institute"Services Fédéraux des Affaires Scientifiques, Techniques et CulturellesBergens ForskningsstiftelseGeorgian National Science FoundationMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaHorizon 2020 Framework ProgrammeVetenskapsrådetJavna Agencija za Raziskovalno Dejavnost RSBritish Columbia Knowledge Development FundCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftLabexKnut och Alice Wallenbergs StiftelseIsrael Science FoundationMinisterstwo Edukacji i NaukiNarodowe Centrum NaukiCanada Foundation for InnovationConselho Nacional de Desenvolvimento Científico e TecnológicoMinistry of Education and Science of the Russian FederationBundesministerium für Wissenschaft, Forschung und WirtschaftNational Research Council CanadaFonds Québécois de la Recherche sur la Nature et les TechnologiesAustrian Science FundDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekChinese Academy of SciencesFondation Partager le SavoirNational Science CouncilEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)German-Israeli Foundation for Scientific Research and DevelopmentMinisterstvo školstva, vedy, výskumu a športu Slovenskej republikyDanmarks GrundforskningsfondNatural Sciences and Engineering Research Council of CanadaMinisterio de Economía y CompetitividadMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungDepartment of Science and Technology, Ministry of Science and Technology, IndiaStichting voor Fundamenteel Onderzoek der MaterieScience and Technology Facilities CouncilMinisterstvo Průmyslu a ObchoduSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMinistry of Science and Technology of the People's Republic of ChinaAgence Nationale de la RechercheMinerva FoundationComisión Nacional de Investigación Científica y TecnológicaTürkiye Atom Enerjisi KurumuJoint Institute for Nuclear ResearchDepartment of Science and Technology, Republic of South AfricaGeneralitat ValencianaGeneralitat de CatalunyaGeneral Secretariat for Research and TechnologyEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyNational Science FoundationCompute CanadaAlexander von Humboldt-StiftungTRIUMFEuropean Science FoundationCanada Council for the ArtsNational Natural Science Foundation of ChinaIsraeli Centers for Research ExcellenceU.S. Department of EnergyOntario Innovation TrustCERNResearch Grants Council, University Grants CommitteeCanarieHelmholtz-GemeinschaftH2020 European Research CouncilNorges ForskningsrådNatur og Univers, Det Frie Forskningsråd
KeywordsPhysicsParticle physicsElectroweak interactionLarge Hadron ColliderPhysics beyond the Standard ModelHiggs bosonNuclear physics

Abstract

fetched live from OpenAlex

A search is presented for anomalous quartic gauge boson couplings in vector-boson scattering. The data for the analysis correspond to $20.2\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of $\sqrt{s}=8\text{ }\text{ }\mathrm{TeV}$ $pp$ collisions and were collected in 2012 by the ATLAS experiment at the Large Hadron Collider. The search looks for the production of $WW$ or $WZ$ boson pairs accompanied by a high-mass dijet system, with one $W$ decaying leptonically and a $W$ or $Z$ decaying hadronically. The hadronically decaying $W/Z$ is reconstructed as either two small-radius jets or one large-radius jet using jet substructure techniques. Constraints on the anomalous quartic gauge boson coupling parameters ${\ensuremath{\alpha}}_{4}$ and ${\ensuremath{\alpha}}_{5}$ are set by fitting the transverse mass of the diboson system, and the resulting 95% confidence intervals are $\ensuremath{-}0.024<{\ensuremath{\alpha}}_{4}<0.030$ and $\ensuremath{-}0.028<{\ensuremath{\alpha}}_{5}<0.033$.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.281
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 designBench or experimental
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".

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Citations40
Published2017
Admission routes2
Has abstractyes

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