MétaCan
Menu
Back to cohort
Record W7071303078

Search for lepton-flavor-violating decays of the $Z$ boson into a $\\tau$-lepton and a light lepton with the ATLAS detector

2018· other· en· W7071303078 on OpenAlexfundno aff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2018
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
FundersBritish Columbia Knowledge Development FundFundação para a Ciência e a TecnologiaInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Nacional de Promoción Científica y TecnológicaScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaFondation Partager le SavoirCentre National pour la Recherche Scientifique et TechniqueNational Research Center "Kurchatov Institute"Centre National de la Recherche ScientifiqueMax-Planck-GesellschaftIsrael Science FoundationIsraeli Centers for Research ExcellenceJoint Institute for Nuclear ResearchJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoGeneral Secretariat for Research and TechnologyBundesministerium für Wissenschaft, Forschung und WirtschaftFonds Québécois de la Recherche sur la Nature et les TechnologiesAustrian Science FundOntario Innovation TrustU.S. Department of EnergyNational Natural Science Foundation of ChinaFundação de Amparo à Pesquisa do Estado de São PauloH2020 Marie Skłodowska-Curie ActionsJavna Agencija za Raziskovalno Dejavnost RSSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMinistry of Education, Culture, Sports, Science and TechnologyNederlandse Organisatie voor Wetenschappelijk OnderzoekAgence Nationale de la RechercheEuropean CommissionTürkiye Atom Enerjisi KurumuDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Deutsche ForschungsgemeinschaftMinisterstwo Edukacji i NaukiCERNComisión Nacional de Investigación Científica y TecnológicaDanmarks GrundforskningsfondAlexander von Humboldt-StiftungServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesDepartment of Science and Technology, Ministry of Science and Technology, IndiaNational Science FoundationCompute CanadaEuropean Regional Development FundBundesministerium für Bildung und ForschungCanarie
KeywordsLeptonAtlas detectorMuonAtlas (anatomy)Branching fractionLepton numberDetectorBoson
DOInot available

Abstract

fetched live from OpenAlex

Lepton flavour violation in the charged lepton sector is an unambiguous signal of physics beyond the Standard Model. Searches for lepton flavour violation in decays of the $Z$ boson with the ATLAS detector is reported, focusing on decays into an electron or muon and a hadronically decaying $\\tau$-lepton, using $pp$ collisions data with a centre-of-mass energy of 13 TeV. Upper limits on the branching ratios of lepton-flavor-violating decays are set at the 95% confidence level: $\\mathcal{B}(Z\\to e\\tau)<5.8\\times10^{-5}$ and $\\mathcal{B}(Z\\to \\mu\\tau)<2.4\\times10^{-5}$. When combined with a previous ATLAS result based on $pp$ collisions data with a centre-of-mass energy of 8 TeV, an upper limit of $\\mathcal{B}(Z\\to \\mu\\tau)<1.3\\times10^{-5}$ is obtained.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.004

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 head0.010
GPT teacher head0.260
Teacher spread0.250 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCERN Document Server (European Organization for Nuclear Research)Same topicCell Image Analysis TechniquesFrench-language works237,207