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Record W4413043110 · doi:10.1016/j.nima.2025.170917

Radiation effects of CERN-PS 24 GeV/c protons in silicon strip sensors, evaluated with ATLAS18 ITk strip sensor test structures

2025· article· en· W4413043110 on OpenAlexafffund
I. Mandić, V. Cindro, M. Mikuž, B. Novak, P. Federičová, Robert Jirasek, J. Kroll, J. Kvasnička, M. Mikeštíková, Petr Tůma, V. Fadeyev, Y. Unno, Eric Bach, C. Fleta, M. Ullán, U. Soldevila, R. S. Orr, C.K. Mahajan, Sashank K. Sridhar, A. S. Chisholm, I. Dawson

Bibliographic record

VenueNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsUniversity of Toronto
FundersAgencia Estatal de InvestigaciónEuropean Regional Development FundHORIZON EUROPE Framework ProgrammeCERNForskningsrådet om Hälsa, Arbetsliv och VälfärdNatural Sciences and Engineering Research Council of CanadaEuropean CommissionU.S. Department of Energy
KeywordsLarge Hadron ColliderNuclear physicsSiliconRadiationMaterials sciencePhysicsOptoelectronics

Abstract

fetched live from OpenAlex

Test structures from the ATLAS18 ITk strip detector wafers were irradiated with 24 GeV/c protons. These test structures were positioned at various angles with respect to the proton beam. Blocks of G10 material were placed in front of these test structures to study the effect of scattering of primary protons on the received particle fluence. The results confirm that both the incidence angle of the beam and scattering significantly influence the actual fluence to which the samples are exposed. Miniature strip detectors, first irradiated with protons, were also irradiated with reactor neutrons, to a combined fluence of Φ n e q = 1.6 × 10 15 cm −2 . The combination of proton and neutron fluences matched the combination expected in the most exposed part of the strip detector in the ALTAS Inner Tracker (ITk). Good charge collection was measured confirming that the strip detectors are sufficiently radiation hard for successful operation to highest fluences expected at the HL-LHC.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.358
Teacher spread0.331 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2025
Admission routes2
Has abstractyes

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Same venueNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentSame topicParticle Detector Development and PerformanceFrench-language works237,207