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Record W4400518549 · doi:10.3204/pubdb-2024-05570

Sensor response and radiation damage effects for 3D pixels in the ATLAS IBL Detector

2024· preprint· en· W4400518549 on OpenAlexfundno aff

Bibliographic record

VenuearXiv (Cornell University) · 2024
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
FundersCHIST-ERAH2020 Marie Skłodowska-Curie ActionsH2020 European Research CouncilInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Estatal de InvestigaciónFundação para a Ciência e a TecnologiaMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungNatural Sciences and Engineering Research Council of CanadaAgencia Nacional de Promoción Científica y TecnológicaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungScience and Technology Facilities CouncilHorizon 2020 Framework ProgrammeNarodowa Agencja Wymiany AkademickiejForskningsrådet om Hälsa, Arbetsliv och VälfärdMinisterstvo Školství, Mládeže a TělovýchovyNational Science and Technology CouncilEuropean Social FundRoyal SocietyCentre National pour la Recherche Scientifique et TechniqueBritish Columbia Knowledge Development FundMax-Planck-GesellschaftEuropean Regional Development FundCentre National de la Recherche ScientifiqueU.S. Department of EnergyFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroIsrael Science FoundationJapan Society for the Promotion of ScienceMinisterstwo Edukacji i NaukiConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Wissenschaft, Forschung und WirtschaftGeneralitat de CatalunyaGeneralitat ValencianaAgencia Nacional de Investigación y DesarrolloGrantová Agentura České RepublikyAustrian Science FundNational Natural Science Foundation of ChinaEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekMinistry of Science and Technology of the People's Republic of ChinaAgence Nationale de la RechercheUK Research and InnovationNational Science FoundationAlexander von Humboldt-StiftungTRIUMFDanmarks GrundforskningsfondTürkiye Enerji, Nükleer ve Maden Araştırma KurumuCanarieCentres de Recerca de CatalunyaCERN
KeywordsLarge Hadron ColliderPixelAtlas (anatomy)PhysicsDetectorUpgradeRadiationRadiation hardeningFluenceATLAS experimentRadiation damageOpticsLuminosityNuclear physicsIrradiationComputer scienceAstrophysics

Abstract

fetched live from OpenAlex

Pixel sensors in 3D technology equip the outer ends of thestaves of the Insertable B Layer (IBL), the innermost layer of theATLAS Pixel Detector, which was installed before the start of LHCRun 2 in 2015. 3D pixel sensors are expected to exhibit moretolerance to radiation damage and are the technology of choice forthe innermost layer in the ATLAS tracker upgrade for the HL-LHCprogramme. While the LHC has delivered an integrated luminosity of ≃ 235 fb$^{-1}$ since the start of Run 2, the 3D sensorshave received a non-ionising energy deposition corresponding to afluence of ≃ 8.5 × 10$^{14}$ 1 MeVneutron-equivalent cm$^{-2}$ averaged over the sensor area. Thispaper presents results of measurements of the 3D pixel sensors'response during Run 2 and the first two years of Run 3, withpredictions of its evolution until the end of Run 3 in 2025. Dataare compared with radiation damage simulations, based on detailedmaps of the electric field in the Si substrate, at various fluencelevels and bias voltage values. These results illustrate thepotential of 3D technology for pixel applications in high-radiationenvironments.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.679

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 head0.030
GPT teacher head0.198
Teacher spread0.167 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2024
Admission routes1
Has abstractyes

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