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Expected tracking performance of the ATLAS Inner Tracker at the High-Luminosity LHC

2025· article· en· W4407701521 on OpenAlex

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.

Bibliographic record

VenueJournal of Instrumentation · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsInstitute of Particle Physics
FundersH2020 Marie Skłodowska-Curie ActionsArgonne National LaboratoryInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Estatal de InvestigaciónAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaAgencia Nacional de Investigación y DesarrolloNational Technical University of AthensUniversité Cadi AyyadNational University of Science and TechnologyUniversity of South AfricaRheinische Friedrich-Wilhelms-Universität BonnUniversity of ZululandGaziantep ÜniversitesiUniversity of the PhilippinesUniversitatea din BucureștiUniversity of Cape TownForskningsrådet om Hälsa, Arbetsliv och VälfärdUniversity of JohannesburgCentre National pour la Recherche Scientifique et TechniqueLawrence Berkeley National LaboratoryUniversité Mohammed VI PolytechniqueUniversidad de Buenos AiresBrookhaven National LaboratoryEuropean Regional Development FundBritish Columbia Knowledge Development FundCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftUniversité Hassan II de CasablancaKnut och Alice Wallenbergs StiftelseMinisterstwo Edukacji i NaukiConselho Nacional de Desenvolvimento Científico e TecnológicoJapan Society for the Promotion of ScienceUniversity of Texas at ArlingtonUniversitetet i BergenSlovenská Akadémia ViedBundesministerium für Wissenschaft, Forschung und WirtschaftConsejo Nacional de Investigaciones Científicas y TécnicasAustrian Science FundNational and Kapodistrian University of AthensNederlandse Organisatie voor Wetenschappelijk OnderzoekChinese Academy of SciencesTsinghua UniversityInstitute of High Energy PhysicsUniversità di BolognaLeverhulme TrustEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloDanmarks GrundforskningsfondScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNatural Sciences and Engineering Research Council of CanadaBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyDivision of PhysicsAgence Nationale de la RechercheUniversity of AlbertaUniversitatea Transilvania din BrasovUniversity of BernNational Science FoundationUK Research and InnovationCERNHigh Energy PhysicsTRIUMFVetenskapsrådetUniversidad Nacional de ColombiaNational Natural Science Foundation of ChinaU.S. Department of EnergyCanarieAnkara UniversitesiUniverzita Komenského v BratislaveTürkiye Enerji, Nükleer ve Maden Araştırma KurumuInstitutul National de Cercetare-Dezvoltare pentru Fizica si Inginerie Nucleara 'Horia Hulubei'Institut de Física d'Altes EnergiesUniversité Savoie Mont BlancNational Science and Technology CouncilMinisterstvo Školství, Mládeže a TělovýchovyIowa State UniversityBrandeis University
KeywordsAtlas (anatomy)Large Hadron ColliderTracking (education)LuminosityDetectorATLAS experimentSoftwareAtlas detectorComputer sciencePhysicsAerospace engineeringParticle physicsOperating systemAstronomyTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Abstract The high-luminosity phase of LHC operations (HL-LHC), will feature a large increase in simultaneous proton-proton interactions per bunch crossing up to 200, compared with a typical leveling target of 64 in Run 3. Such an increase will create a very challenging environment in which to perform charged particle trajectory reconstruction, a task crucial for the success of the ATLAS physics program, and will exceed the capabilities of the current ATLAS Inner Detector (ID). A new all-silicon Inner Tracker (ITk) will replace the current ID in time for the start of the HL-LHC. To ensure successful use of the ITk capabilities in Run 4 and beyond, the ATLAS tracking software has been successfully adapted to achieve state-of-the-art track reconstruction in challenging high-luminosity conditions with the ITk detector. This paper presents the expected tracking performance of the ATLAS ITk based on the latest available developments since the ITk technical design reports.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score0.158

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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