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Inclusive-photon production and its dependence on photon isolation in pp collisions at √s = 13 TeV using 139 fb<sup> −1</sup> of ATLAS data
Bibliographic record
VenueApollo (University of Cambridge) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryEuropean Social FundHigh Energy PhysicsBritish Columbia Knowledge Development FundIsrael Science FoundationDepartment of Physics and Astronomy, University College LondonAgencia 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 MinhoCentre National pour la Recherche Scientifique et TechniqueUniverza v LjubljaniUniversidad de TarapacáConselho Nacional de Desenvolvimento Científico e TecnológicoUniversité Paris-SaclayUniverzita Palackého v OlomouciUniversity of TsukubaAristotle University of ThessalonikiTechnion-Israel Institute of TechnologyNarodowa Agencja Wymiany AkademickiejUnited Arab Emirates UniversityJapan Society for the Promotion of ScienceUniversidade de CoimbraRoyal Holloway, University of LondonUniversitetet i OsloH2020 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 TělovýchovyLeverhulme TrustEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloAgence Nationale de la RechercheUniversity of SussexDanmarks GrundforskningsfondUniversity College LondonRoyal SocietyScience and Technology Facilities CouncilSchweizerischer 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, IrvineNew York University Abu DhabiUniversidad Técnica Federico Santa MaríaNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftQueen Mary University of LondonTel Aviv UniversityUniversity of PittsburghNational Science FoundationOklahoma State UniversityRadboud UniversiteitFundação para a Ciência e a TecnologiaCompute CanadaUniversity of OxfordAlexander von Humboldt-StiftungUniversity of OklahomaAcademia SinicaUniversity of WashingtonInstitut National de Physique Nucléaire et de Physique des ParticulesUniversidade de LisboaNorthern Illinois UniversityPontificia Universidad Católica de ChileUniversidad Nacional de La PlataMichigan State UniversityNational Natural Science Foundation of ChinaAix-Marseille UniversitéOhio State UniversityČeské Vysoké Učení Technické v PrazeConsejo Nacional de Investigaciones Científicas y TécnicasAustrian Science FundUniversity of PennsylvaniaLudwig-Maximilians-Universität MünchenU.S. Department of Energy
KeywordsPartonPseudorapidityLarge Hadron ColliderAtlas (anatomy)Quantum chromodynamicsPhotonATLAS experimentDistribution functionProton
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 distilled prediction
Teacher imitationNot 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.942
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 head0.032
GPT teacher head0.279
Teacher spread0.247 · 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 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 routes1
Has abstractno