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Record W7062022316

Searches for scalar leptoquarks in pp collisions at √s = 8 TeV with the ATLAS detector

2016· article· en· W7062022316 on OpenAlexfundno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2016
Typearticle
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
FundersH2020 Marie Skłodowska-Curie ActionsEuropean Social FundInstitut National de Physique Nucléaire et de Physique des ParticulesIsraeli Centers for Research ExcellenceJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaH. Lundbeck A/SFondation Partager le SavoirCentre National pour la Recherche Scientifique et TechniqueGeorgian National Science FoundationCentre National de la Recherche ScientifiqueIsrael Science FoundationMax-Planck-GesellschaftCompute CanadaLundbeckfondenFonds Québécois de la Recherche sur la Nature et les TechnologiesOntario Innovation TrustNational Natural Science Foundation of ChinaFundação de Amparo à Pesquisa do Estado de São PauloNederlandse Organisatie voor Wetenschappelijk OnderzoekMinistry of Education, Culture, Sports, Science and TechnologyLeverhulme TrustGeneral Secretariat for Research and TechnologyAgence Nationale de la RechercheCERNDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Deutsche ForschungsgemeinschaftEuropean CommissionAlexander von Humboldt-StiftungTRIUMFBundesministerium für Bildung und ForschungCanarieComisión Nacional de Investigación Científica y TecnológicaDanmarks Grundforskningsfond
KeywordsLarge Hadron ColliderAtlas (anatomy)Scalar (mathematics)Atlas detectorDetectorATLAS experimentLeptonStandard Model (mathematical formulation)
DOInot available

Abstract

fetched live from OpenAlex

Searches for pair-produced scalar leptoquarks are performed using 20 fb−1 of proton–proton collision data provided by the LHC and recorded by the ATLAS detector at √s=8 TeV. Events with two electrons (muons) and two or more jets in the final state are used to search for first (second)-generation leptoquarks. The results from two previously published ATLAS analyses are interpreted in terms of third-generation leptoquarks decaying to bντb¯ντ¯ and tντt¯ντ¯ final states. No statistically significant excess above the Standard Model expectation is observed in any channel and scalar leptoquarks are excluded at 95 % CL with masses up to mLQ1 < 1050 GeV for first-generation leptoquarks, mLQ2 < 1000 GeV for second-generation leptoquarks, mLQ3 < 625 GeV for third-generation leptoquarks in the bντb¯ντ¯ channel, and 200 < mLQ3 < 640 GeV in the tντt¯ντ¯ channel.

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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.191
Teacher spread0.178 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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