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A search for new resonances in multiple final states with a high transverse momentum Z boson in √s = 13 TeV pp collisions with the ATLAS detector
Bibliographic record
VenueUCL Discovery (University College London) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
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 UniversityInstituto Superior TécnicoDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekInstitut "Jožef Stefan"Centres de Recerca de CatalunyaCERNIsrael Science FoundationNew York University Abu DhabiUniversidad Técnica Federico Santa MaríaConselho 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 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 UniversitéUniversity of OxfordAlexander von Humboldt-StiftungLudwig-Maximilians-Universität MünchenRadboud UniversiteitU.S. Department of Energy
KeywordsInvariant massAtlas (anatomy)HadronBosonLarge Hadron ColliderAtlas detectorLuminosityResonance (particle physics)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 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)0.001
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 score0.014
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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 head0.016
GPT teacher head0.220
Teacher spread0.203 · 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".
Quick stats
Citations0
Published2023
Admission routes1
Has abstractno