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.
VenueJournal of Instrumentation · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsTRIUMFCarleton UniversitySimon Fraser UniversityUniversity of British ColumbiaYork UniversityUniversity of VictoriaMcGill UniversityUniversity of AlbertaUniversité de MontréalInstitute of Particle PhysicsUniversity of Toronto
FundersSLAC National Accelerator LaboratoryEuropean Social FundHigh Energy PhysicsDivision of PhysicsBritish Columbia Knowledge Development FundComisión Nacional de Investigación Científica y TecnológicaRussian Academy of SciencesJapan Society for the Promotion of ScienceScience and Technology Facilities CouncilNatural Sciences and Engineering Research Council of CanadaUniversity of California, IrvineCollege of Engineering, Michigan State UniversityUniversidade Federal de São João del-ReiShanghai Key Laboratory for Particle Physics and CosmologyServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesAgencia Nacional de Promoción Científica y TecnológicaNational Research Nuclear University MEPhITokyo Metropolitan UniversityPontificia Universidad Católica de ChileUniversity of Science and Technology of ChinaUniversidade do MinhoJulius-Maximilians-Universität WürzburgNational Academy of Sciences of BelarusUniversité Paris-SudState Key Laboratory of Particle Detection and ElectronicsUniversidade Federal de Juiz de ForaHigh Energy Accelerator Research OrganizationUniversité Paris DiderotUniversity of TsukubaNuclear PhysicsAristotle University of ThessalonikiUniversidade de CoimbraUniversidade de São PauloRoyal Holloway, University of LondonUniversidade Federal do Rio de JaneiroUniversitetet i OsloNational Tsing Hua UniversityUniversità degli Studi di PaviaCERNShanghai Jiao Tong UniversityMinistry of Education, IndiaTRIUMFJavna Agencija za Raziskovalno Dejavnost RSSimon Fraser UniversityCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftDepartment of Physics and Astronomy, University College LondonIsrael Science FoundationTechnion-Israel Institute of TechnologyGeneral Secretariat for Research and TechnologyEuropean Regional Development FundAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftLunds UniversitetNational Research Center "Kurchatov Institute"University of TorontoH2020 Marie Skłodowska-Curie ActionsMcGill UniversityUniverzita Karlova v PrazeGeneralitat de CatalunyaAcademia SinicaLudwig-Maximilians-Universität MünchenNational Science FoundationSiberian Branch, Russian Academy of SciencesFundação para a Ciência e a TecnologiaTomsk State UniversityCompute CanadaRadboud UniversiteitLeverhulme TrustEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloConselho Nacional de Desenvolvimento Científico e TecnológicoUniversité Paris-SaclayUniverzita Palackého v OlomouciAbdus Salam International Centre for Theoretical PhysicsConsejo Nacional de Investigaciones Científicas y TécnicasSapienza Università di RomaAgence Nationale de la RechercheTürkiye Atom Enerjisi KurumuUniversiteit van AmsterdamUniversität HeidelbergDepartment of Science and Technology, Ministry of Science and Technology, IndiaAkademia Górniczo-Hutnicza im. Stanislawa StaszicaUniversity of SussexDanmarks GrundforskningsfondUniversity College LondonUniverza v LjubljaniCentre National pour la Recherche Scientifique et TechniqueRoyal SocietySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungYork UniversityUniversity of Illinois at Urbana-ChampaignLouisiana Tech UniversityNational Research CentreCanarieUniversität SiegenBundesministerium für Bildung und ForschungUniversity of OregonMinistry of Education, Culture, Sports, Science and TechnologyStony Brook UniversityInstitut "Jožef Stefan"Centres de Recerca de CatalunyaUniversità degli Studi di TrentoUniversidad Nacional de La PlataLomonosov Moscow State UniversityMichigan State UniversityU.S. Department of EnergyFaculdade de Ciências e Tecnologia, Universidade Nova de LisboaShandong UniversityUniversidad Técnica Federico Santa MaríaNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftMinisterstwo Edukacji i NaukiTel Aviv UniversityIowa State UniversityUniversity of PittsburghQueen Mary University of LondonAustrian Science FundUniversity of PennsylvaniaUniversity of OklahomaInstitut National de Physique Nucléaire et de Physique des ParticulesUniversidade de LisboaNorthern Illinois UniversityUniversity of WashingtonOklahoma State UniversityUniversità di PisaUniversidad Autónoma de MadridUniversità degli Studi di Napoli Federico IINational Natural Science Foundation of ChinaAix-Marseille UniversitéOhio State UniversityČeské Vysoké Učení Technické v PrazeUniversidade Nova de LisboaUniversidad de GranadaSorbonne UniversitéKungliga Tekniska HögskolanUniversity of OxfordAlexander von Humboldt-StiftungJoint Institute for Nuclear Research
KeywordsPixelPhysicsLarge Hadron ColliderDetectorAtlas (anatomy)UpgradeRadiationOpticsRadiation damageATLAS experimentNuclear physicsComputer science
Abstract
fetched live from OpenAlexSilicon pixel detectors are at the core of the current and planned upgrade of the ATLAS experiment at the LHC. Given their close proximity to the interaction point, these detectors will be exposed to an unprecedented amount of radiation over their lifetime. The current pixel detector will receive damage from non-ionizing radiation in excess of 1015 1 MeV neq/cm2, while the pixel detector designed for the high-luminosity LHC must cope with an order of magnitude larger fluence. This paper presents a digitization model incorporating effects of radiation damage to the pixel sensors. The model is described in detail and predictions for the charge collection efficiency and Lorentz angle are compared with collision data collected between 2015 and 2017 (≤ 1015 1 MeV neq/cm2).
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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score0.158
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 spread0.235 · 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
