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Evidence of off-shell Higgs boson production from ZZ leptonic decay channels and constraints on its total width with the ATLAS detector

2023· preprint· en· W4362655614 on OpenAlexafffund
ATLAS Collaboration

Bibliographic record

VenuePhysics Letters B · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of Toronto
FundersIrish Rugby Football UnionH2020 Marie Skłodowska-Curie ActionsHorizon 2020Instituto Nazionale di Fisica NucleareAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaJapan Society for the Promotion of ScienceAustralian Research CouncilNational Research Council CanadaAgencia Nacional de Investigación y DesarrolloEuropean Social FundRoyal SocietyCentre National pour la Recherche Scientifique et TechniqueEuropean Regional Development FundBritish Columbia Knowledge Development FundEuropean Research CouncilMax-Planck-GesellschaftGöran Gustafssons StiftelserNella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of ScienceCentre National de la Recherche ScientifiqueInstitut National de Physique Nucléaire et de Physique des ParticulesMinistry of Science and Technology, TaiwanCanada Foundation for InnovationNarodowe Centrum NaukiConselho Nacional de Desenvolvimento Científico e TecnológicoGeneralitat ValencianaGeneralitat de CatalunyaDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekChinese Academy of SciencesNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungMinisterstvo Školství, Mládeže a TělovýchovyEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloDanmarks GrundforskningsfondNational Research FoundationJavna Agencija za Raziskovalno Dejavnost RSScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAgence Nationale de la RechercheInstitutul de Fizică AtomicăMultiple Sclerosis Scientific Research FoundationMinerva FoundationAustrian Science FundNarodowa Agencja Wymiany AkademickiejEuropean Cooperation in Science and TechnologyIsrael Science FoundationHelmholtz-GemeinschaftNational Science FoundationMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaCompute CanadaDefence Science InstituteAlexander von Humboldt-StiftungTRIUMFCanarieCentres de Recerca de CatalunyaCRC Health GroupCERNStaatssekretariat für Bildung, Forschung und InnovationTürkiye Enerji, Nükleer ve Maden Araştırma KurumuMinisterio de Ciencia e InnovaciónNational Natural Science Foundation of ChinaU.S. Department of EnergyBundesministerium für Wissenschaft, Forschung und Wirtschaft
KeywordsPhysicsParticle physicsHiggs bosonBosonNuclear physicsLarge Hadron ColliderStandard Model (mathematical formulation)Production (economics)

Abstract

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This Letter reports on a search for off-shell production of the Higgs boson using 139 fb−1 of pp collision data at s= 13 TeV collected by the ATLAS detector at the Large Hadron Collider. The signature is a pair of Z bosons, with contributions from both the production and subsequent decay of a virtual Higgs boson and the interference of that process with other processes. The two observable final states are ZZ→4ℓ and ZZ→2ℓ2ν with ℓ=e or μ. In the ZZ→4ℓ final state, a dense Neural Network is used to enhance analysis sensitivity with respect to matrix element-based discrimination. The background-only hypothesis is rejected with an observed (expected) significance of 3.3 (2.2) standard deviations, representing experimental evidence for off-shell Higgs boson production. Assuming that no new particles enter the production of the virtual Higgs boson, its total width can be deduced from the measurement of its off-shell production cross-section. The measured total width of the Higgs boson is 4.5−2.5+3.3 MeV, and the observed (expected) upper limit on the total width is found to be 10.5 (10.9) MeV at 95% confidence level.

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 distilled prediction

Teacher imitation

Not 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 categoriesMeta-epidemiology (narrow)
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 score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.269
Teacher spread0.230 · 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 teacher head, not a consensus.

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

Citations29
Published2023
Admission routes2
Has abstractyes

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