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Searches for lepton-flavour-violating decays of the Higgs boson into eτ and μτ in √s = 13 TeV pp collisions with the ATLAS detector
Bibliographic record
VenueRepositóriUM (Universidade do Minho) · 2023
Typearticle
Languageen
FieldChemistry
TopicChemistry and Stereochemistry Studies
Canadian institutionsnot available
FundersNuclear PhysicsRoyal Holloway, University of LondonInstitut National de Physique Nucléaire et de Physique des ParticulesDepartment of Physics and Astronomy, University College LondonAgencia Nacional de Promoción Científica y TecnológicaJapan Society for the Promotion of ScienceCollege of Engineering, Michigan State UniversityAgencia Nacional de Investigación y DesarrolloSorbonne UniversitéUniversidade do MinhoUniversidade Federal do Rio de JaneiroAkademia Górniczo-Hutnicza im. Stanislawa StaszicaUniverza v LjubljaniUniversidad de TarapacáUniversité Paris-SaclayUniverzita Palackého v OlomouciHigh Energy Accelerator Research OrganizationUniversidad de GranadaNarodowa Agencja Wymiany AkademickiejUnited Arab Emirates UniversityUniversidade de São PauloUniversitetet i OsloMinisterio de Ciencia e InnovaciónJavna Agencija za Raziskovalno Dejavnost RSEuropean Regional Development FundBritish Columbia Knowledge Development FundCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftLunds UniversitetGeneralitat ValencianaGeneralitat de CatalunyaNatural Sciences and Engineering Research Council of CanadaUniversity of OregonMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungMinisterstvo Školství, Mládeže a TělovýchovyLeverhulme TrustEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloAgence Nationale de la RechercheDanmarks GrundforskningsfondUniversity College LondonEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyAustrian Science FundUniversity of PennsylvaniaConsejo Nacional de Investigaciones Científicas y TécnicasScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungYork UniversityTürkiye Enerji, Nükleer ve Maden Araştırma KurumuUniversiteit van AmsterdamH2020 Marie Skłodowska-Curie ActionsLouisiana Tech UniversityInstitut "Jožef Stefan"Centres de Recerca de CatalunyaCERNIsrael Science FoundationNew York University Abu DhabiUniversidad Técnica Federico Santa MaríaInstituto Superior TécnicoNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftConselho Nacional de Desenvolvimento Científico e TecnológicoUniverzita Karlova v PrazeMcGill UniversityQueen Mary University of LondonCanarieUniversidade do Estado do Rio de JaneiroUniversity of PittsburghUniversidad Autónoma de MadridNational Science FoundationOklahoma State UniversityCompute CanadaUniversity of OxfordAlexander von Humboldt-StiftungTRIUMFUniversity of OklahomaFundação para a Ciência e a TecnologiaUniversity of WashingtonUniversidade de LisboaNorthern Illinois UniversityPontificia Universidad Católica de ChileUniversidad Nacional de La PlataMichigan State UniversityNational Natural Science Foundation of ChinaOhio State UniversityČeské Vysoké Učení Technické v PrazeAix-Marseille UniversitéLudwig-Maximilians-Universität MünchenRadboud UniversiteitU.S. Department of Energy
KeywordsHiggs bosonBranching fractionLeptonHadronMuonAtlas (anatomy)Large Hadron ColliderAtlas detector
DOInot available
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.035
Threshold uncertainty score0.686
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.233
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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
Published2023
Admission routes1
Has abstractno