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Record W7062229126

Search for flavour-changing neutral tqH interactions with H → γγ in pp collisions at s = 13 TeV using the ATLAS detector

2023· article· en· W7062229126 on OpenAlexfundaboutno aff

Bibliographic record

VenueApollo (University of Cambridge) · 2023
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryEuropean Social FundHigh Energy PhysicsBritish Columbia Knowledge Development FundAgencia Nacional de Promoción Científica y TecnológicaCollege of Engineering, Michigan State UniversityInstitut "Jožef Stefan"Stony Brook UniversityAgencia Nacional de Investigación y DesarrolloKungliga Tekniska HögskolanSorbonne UniversitéUniversidade do MinhoRoyal Holloway, University of LondonUniversitetet i OsloUniversidade Federal do Rio de JaneiroCentre National pour la Recherche Scientifique et TechniqueUniverza v LjubljaniUniversidad de TarapacáConselho Nacional de Desenvolvimento Científico e TecnológicoUniversité Paris-SaclayUniverzita Palackého v OlomouciHigh Energy Accelerator Research OrganizationUniversity of TsukubaNuclear PhysicsAristotle University of ThessalonikiTechnion-Israel Institute of TechnologyNarodowa Agencja Wymiany AkademickiejUnited Arab Emirates UniversityJapan Society for the Promotion of ScienceUniversidade de CoimbraUniversidade de São PauloH2020 Marie Skłodowska-Curie ActionsMcGill UniversityUniverzita Karlova v PrazeGeneralitat de CatalunyaMinisterio de Ciencia e InnovaciónTRIUMFJavna Agencija za Raziskovalno Dejavnost RSSimon Fraser UniversityUniversidad de GranadaCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftEuropean Regional Development FundAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftLunds UniversitetUniversity of TorontoGeneralitat ValencianaNatural Sciences and Engineering Research Council of CanadaUniversity of OregonMinistry of Education, Culture, Sports, Science and TechnologyInstituto Superior TécnicoBundesministerium für Bildung und ForschungUniversidad Autónoma de MadridMinisterstvo Školství, Mládeže a TělovýchovyAix-Marseille UniversitéOhio State UniversityČeské Vysoké Učení Technické v PrazeNational Natural Science Foundation of ChinaLeverhulme TrustEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloAgence Nationale de la RechercheUniversity of SussexDanmarks GrundforskningsfondUniversity College LondonRoyal SocietySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungYork UniversityDivision of PhysicsTürkiye Enerji, Nükleer ve Maden Araştırma KurumuUniversiteit van AmsterdamUniversity of Illinois at Urbana-ChampaignLouisiana Tech UniversityCanarieUniversität SiegenCentres de Recerca de CatalunyaCERNUniversity of California, IrvineDepartment of Physics and Astronomy, University College LondonIsrael Science FoundationNew York University Abu DhabiUniversidad Técnica Federico Santa MaríaNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftQueen Mary University of LondonUniversidade do Estado do Rio de JaneiroTel Aviv UniversityUniversity of PittsburghRadboud UniversiteitFundação para a Ciência e a TecnologiaCompute CanadaUniversity of OxfordAlexander von Humboldt-StiftungUniversity of OklahomaAcademia SinicaOklahoma State UniversityNational Science FoundationInstitut National de Physique Nucléaire et de Physique des ParticulesUniversidade de LisboaNorthern Illinois UniversityUniversity of WashingtonPontificia Universidad Católica de ChileUniversidad Nacional de La PlataMichigan State UniversityConsejo Nacional de Investigaciones Científicas y TécnicasUniversity of PennsylvaniaAustrian Science FundLudwig-Maximilians-Universität München
KeywordsCzechAtlas (anatomy)NorwegianLarge Hadron ColliderAtlas detectorMember states
DOInot available

Abstract

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Acknowledgements: We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TENMAK, Türkiye; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU and Marie Skłodowska-Curie Actions, European Union; Investissements d’Avenir Labex, Investissements d’Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Göran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [104].

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.025
GPT teacher head0.237
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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 routes2
Has abstractyes

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