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Search for a light CP-odd Higgs boson decaying into a pair of τ-leptons in proton-proton collisions at s = 13 TeV with the ATLAS detector
Bibliographic record
VenueWhite Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 2024
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
FundersEuropean Social FundHigh Energy PhysicsSLAC National Accelerator LaboratoryAgencia Estatal de InvestigaciónBritish Columbia Knowledge Development FundJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaHorizon 2020 Framework ProgrammeUniversity of California, IrvineCollege of Engineering, Michigan State UniversityNational Science and Technology CouncilAgencia Nacional de Investigación y DesarrolloShanghai Key Laboratory for Particle Physics and CosmologyTechnische Universität DortmundNarodowa Agencja Wymiany AkademickiejUniversity of Chinese Academy of SciencesPontificia Universidad Católica de ChileUniversity of Science and Technology of ChinaUniversidade do MinhoUniversity of West AtticaJulius-Maximilians-Universität WürzburgNanjing UniversityUniversity of South AfricaUniversity of the PhilippinesState Key Laboratory of Particle Detection and ElectronicsUniversidade Federal de Juiz de ForaUniversidade do Estado do Rio de JaneiroUniversité Cadi AyyadUniversity of TsukubaNuclear PhysicsAristotle University of ThessalonikiUniversidad de GranadaUniverza v LjubljaniCentre National pour la Recherche Scientifique et TechniqueTechnion-Israel Institute of TechnologyUnited Arab Emirates UniversityInstitut National de Physique Nucléaire et de Physique des ParticulesUniversidade de LisboaUniversidade de CoimbraLudwig-Maximilians-Universität MünchenH2020 European Research CouncilUniversidade de São PauloRoyal Holloway, University of LondonUniversidade Federal do Rio de JaneiroUniversitetet i OsloScottish Universities Physics AllianceNational Tsing Hua UniversityUniversità degli Studi di PaviaCERNShanghai Jiao Tong UniversityMinistry of Education, IndiaStony Brook UniversityInstitut "Jožef Stefan"Waseda UniversitySimon Fraser UniversityCentre National de la Recherche ScientifiqueMinistero dell'Università e della RicercaMax-Planck-GesellschaftEuropean Regional Development FundAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftGeorg-August-Universität GöttingenLunds UniversitetUniversité de GenèveUniversity of TorontoUniversité Hassan II de CasablancaGeneralitat ValencianaH2020 Marie Skłodowska-Curie ActionsMcGill UniversityUniverzita Karlova v PrazeGeneralitat de CatalunyaSun Yat-sen UniversityStockholms UniversitetAcademia SinicaFundação para a Ciência e a TecnologiaRadboud UniversiteitDanmarks GrundforskningsfondAbdus Salam International Centre for Theoretical PhysicsConsejo Nacional de Investigaciones Científicas y TécnicasSapienza Università di RomaUniversität InnsbruckAgence Nationale de la RechercheUniversité de FribourgUniversiteit van AmsterdamUniversität HeidelbergNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftFundação de Amparo à Pesquisa do Estado de São PauloLeverhulme TrustEuropean CommissionAlbert-Ludwigs-Universität FreiburgUniversity College LondonUniversity of ZululandRoyal SocietyNorges ForskningsrådSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversity of GlasgowYork UniversityDivision of PhysicsTürkiye Enerji, Nükleer ve Maden Araştırma KurumuUniversity of Illinois at Urbana-ChampaignLouisiana Tech UniversityUniversité Paris-SaclayUniverzita Palackého v OlomouciUniversity of JohannesburgConselho Nacional de Desenvolvimento Científico e TecnológicoSouthern Methodist UniversityCanarieUniversität SiegenUniversité Mohammed VI PolytechniqueCentres de Recerca de CatalunyaUniversità di PisaTechnische Universität DresdenUniversidad Autónoma de MadridMinisterstvo Školství, Mládeže a TělovýchovyUniversité Grenoble AlpesZhengzhou UniversityIsrael Science FoundationUK Research and InnovationNew York University Abu DhabiInstituto Superior TécnicoBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyUniversity of OregonNational Natural Science Foundation of ChinaAix-Marseille UniversitéOhio State UniversityČeské Vysoké Učení Technické v PrazeSorbonne UniversitéKungliga Tekniska HögskolanUniversity of PittsburghIowa State UniversityUniversità degli Studi di TrentoUniversidad Nacional de La PlataBaden-Württemberg StiftungMichigan State UniversityFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroUniversità della CalabriaU.S. Department of EnergyShandong UniversityTel Aviv UniversityForskningsrådet om Hälsa, Arbetsliv och VälfärdNorthern Illinois UniversityUniversité de ToulouseUniversity of OxfordAgencia Nacional de Promoción Científica y TecnológicaDeutsches Elektronen-SynchrotronJustus Liebig Universität GießenUniversidad Técnica Federico Santa MaríaMinisterstwo Edukacji i NaukiHarvard UniversityQueen Mary University of LondonUniversity of SussexTRIUMFUniversity of OklahomaMinistry of Science and Technology of the People's Republic of ChinaUniversity of WashingtonOklahoma State UniversityNational Science FoundationIstituto Nazionale di Fisica NucleareUniversità degli Studi di Napoli Federico IIUniversidad de TarapacáUniversity of WarwickAlexander von Humboldt-StiftungAustrian Science FundHigh Energy Accelerator Research OrganizationGrantová Agentura České RepublikyUniversity of Pennsylvania
KeywordsHiggs bosonAtlas detectorAtlas (anatomy)Large Hadron ColliderHadronLuminosityStandard Model (mathematical formulation)Resonance (particle physics)
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 machine prediction
Teacher imitationNot 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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 head0.024
GPT teacher head0.247
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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Citations0
Published2024
Admission routes1
Has abstractno