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Record W6992800715

Model-independent search for the presence of new physics in events including <i>H\\rightarrow\\gamma\\gamma </i>with <i>\\sqrt{s} </i>= 13 TeV pp data recorded by the ATLAS detector at the LHC

2023· article· en· W6992800715 on OpenAlexfundno aff

Bibliographic record

VenueArchive ouverte UNIGE (University of Geneva) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryNuclear PhysicsDivision of PhysicsInstituto Superior TécnicoDepartment of Physics and Astronomy, University College LondonAgencia Nacional de Promoción Científica y TecnológicaCollege of Engineering, Michigan State UniversityInstitut National de Physique Nucléaire et de Physique des ParticulesStony Brook 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 OrganizationRoyal Holloway, University of LondonUniversity of TsukubaAristotle University of ThessalonikiTechnion-Israel Institute of TechnologyUnited Arab Emirates UniversityUniversitetet i OsloUniversidad Autónoma de MadridUniversidade do Estado do Rio de JaneiroUniversity of PittsburghTel Aviv UniversitySimon Fraser UniversityLunds UniversitetMinisterstvo Školství, Mládeže a TělovýchovyOhio State UniversityČeské Vysoké Učení Technické v PrazeNational Natural Science Foundation of ChinaUniversidade de São PauloFundação de Amparo à Pesquisa do Estado de São PauloUniversity of SussexUniversity of PennsylvaniaAustrian Science FundConsejo Nacional de Investigaciones Científicas y TécnicasYork UniversityAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftUniversität SiegenUniversiteit van AmsterdamLouisiana Tech UniversityCERNInstitut "Jožef Stefan"University of California, IrvineNew York University Abu DhabiNatural Sciences and Engineering Research Council of CanadaUniversity of OregonUniversity of TorontoUniversidad Técnica Federico Santa MaríaUniverzita Karlova v PrazeConselho Nacional de Desenvolvimento Científico e TecnológicoMcGill UniversityUniversidad de GranadaKungliga Tekniska HögskolanUniversity of OxfordHigh Energy PhysicsUniversity of OklahomaTRIUMFAcademia SinicaQueen Mary University of LondonUniversidade de LisboaNorthern Illinois UniversityUniversity of WashingtonCentre National de la Recherche ScientifiqueAix-Marseille UniversitéLudwig-Maximilians-Universität MünchenRadboud UniversiteitOklahoma State UniversityDanmarks GrundforskningsfondUniversity College LondonPontificia Universidad Católica de ChileUniversidad Nacional de La PlataMichigan State University
KeywordsNucleofectionGestational periodHyporeflexiaTSG101Fusible alloyProteogenomics
DOInot available

Abstract

fetched live from OpenAlex

A model-independent search for new physics leading to final states containing a Higgs boson, with a mass of 125.09 GeV, decaying to a pair of photons is performed with 139 fb <sup> − 1 </sup> of $$ \\sqrt{s} $$ s = 13 TeV pp collision data recorded by the ATLAS detector at the Large Hadron Collider at CERN. This search examines 22 final states categorized by the objects that are produced in association with the Higgs boson. These objects include isolated electrons or muons, hadronically decaying τ -leptons, additional photons, missing transverse momentum, and hadronic jets, as well as jets that are tagged as containing a b -hadron. No significant excesses above Standard Model expectations are observed and limits on the production cross section at 95% confidence level are set. Detector efficiencies are reported for all 22 signal regions, which can be used to convert detector-level cross-section limits reported in this paper to particle-level cross-section constraints.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.715
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.003
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 head0.048
GPT teacher head0.262
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.

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 abstractyes

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