Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
VenueThe European Physical Journal C · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsYork UniversityUniversity of British ColumbiaSimon Fraser UniversityTRIUMFCarleton UniversityUniversity of TorontoUniversity of AlbertaUniversité de MontréalInstitute of Particle PhysicsMcGill UniversityUniversity of Victoria
FundersH2020 Marie Skłodowska-Curie ActionsInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaJapan Society for the Promotion of ScienceNational Research Center "Kurchatov Institute"Fondation Partager le SavoirServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesEuropean Social FundRoyal SocietyCentre National pour la Recherche Scientifique et TechniqueGeorgian National Science FoundationEuropean Regional Development FundBritish Columbia Knowledge Development FundMax-Planck-GesellschaftCentre National de la Recherche ScientifiqueIsrael Science FoundationComisión Nacional de Investigación Científica y TecnológicaTürkiye Atom Enerjisi KurumuJoint Institute for Nuclear ResearchMinisterstwo Edukacji i NaukiConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Wissenschaft, Forschung und WirtschaftGeneralitat de CatalunyaGeneralitat ValencianaFonds Québécois de la Recherche sur la Nature et les TechnologiesAustrian Science FundEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloDanmarks GrundforskningsfondDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekCanarieHarvard UniversityNatural Sciences and Engineering Research Council of CanadaBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyAgence Nationale de la RechercheCentres de Recerca de CatalunyaHong Kong University of Science and TechnologyJavna Agencija za Raziskovalno Dejavnost RSScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversity of GlasgowNational Natural Science Foundation of ChinaScottish Universities Physics AllianceChinese University of Hong KongCompute CanadaNational Science FoundationUniversity of Hong KongAlexander von Humboldt-StiftungHigh Energy PhysicsTRIUMFDepartment of Science and Technology, Ministry of Science and Technology, IndiaGeneral Secretariat for Research and TechnologyOntario Innovation TrustJustus Liebig Universität GießenDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Israeli Centers for Research ExcellenceU.S. Department of EnergyCERNUniversität Heidelberg
KeywordsPhysicsLarge Hadron ColliderElectronAtlas (anatomy)ATLAS experimentNuclear physicsHadronParticle physicsProtonDetectorLuminosityOpticsAstrophysics
Abstract
fetched live from OpenAlexcollision data produced by the LHC at [Formula: see text] = 8 [Formula: see text]. The efficiency of these algorithms, together with the charge misidentification rate, is measured in data and evaluated in simulated samples using electrons from [Formula: see text], [Formula: see text] and [Formula: see text] decays. For these efficiency measurements, the full recorded data set, corresponding to an integrated luminosity of 20.3 fb[Formula: see text], is used. Based on a new reconstruction algorithm used in 2012, the electron reconstruction efficiency is 97% for electrons with [Formula: see text] [Formula: see text] and 99% at [Formula: see text] [Formula: see text]. Combining this with the efficiency of additional selection criteria to reject electrons from background processes or misidentified hadrons, the efficiency to reconstruct and identify electrons at the ATLAS experiment varies from 65 to 95%, depending on the transverse momentum of the electron and background rejection.
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.
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 categoriesScience and technology studies
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 score0.040
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
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.
Teacher spread0.258 · 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
