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Record W2922349413 · doi:10.1016/j.nima.2019.04.007

The ATLAS ITk strip detector system for the High Luminosity LHC upgrade

2019· article· en· W2922349413 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.

Bibliographic record

VenueNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsCarleton University
FundersHorizon 2020Deutsches Elektronen-SynchrotronScience and Technology Facilities CouncilEuropean CommissionCERN
KeywordsLarge Hadron ColliderDetectorUpgradeAtlas (anatomy)PhysicsLuminosityATLAS experimentElectronicsParticle physicsNuclear physicsOpticsElectrical engineeringComputer scienceEngineeringAstronomyOperating system

Abstract

fetched live from OpenAlex

The ATLAS experiment at the Large Hadron Collider is currently preparing major detector upgrades to meet the requirements of the High Luminosity LHC (HL-LHC), scheduled to begin in 2026. With the radiation damage and high density of tracks expected at the HL-LHC, the current Inner Detector would be inoperable, and will instead be replaced by an all-silicon Inner Tracker (ITk). The ITk consists of two sub-systems: a pixel detector close to the beam pipe, and a strip detector at larger radii. This paper presents results from an extensive design and prototyping effort for the ITk strip detector, including studies of the sensors, electronics, and support structures. The performance of the detector has been validated through testbeams, simulations, and thermal and electrical prototypes. Plans for the forthcoming production phase are also presented.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.346
Teacher spread0.307 · 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