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Record W2902809416 · doi:10.22323/1.309.0027

4th dimensional tracking: the GigaTracker of NA62 experiment.

2018· preprint· en· W2902809416 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

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsTRIUMF
FundersIstituto Nazionale di Fisica NucleareFonds De La Recherche Scientifique - FNRSCERN
KeywordsPhysicsLarge Hadron ColliderTracking (education)DetectorBeam (structure)Nuclear physicsSiliconPlanarPixelOpticsOptoelectronicsComputer scienceComputer graphics (images)

Abstract

fetched live from OpenAlex

The GigaTracker is a lightweight hybrid silicon pixel detector built for the NA62 experiment at CERN, which aims at measuring the branching fraction of the ultra-rare kaon decay $K^+\rightarrow \pi^+\nu\bar{\nu}$ at the CERN SPS. The detector tracks charged particles in a 75 GeV/$c$ hadron beam with a flux reaching 1.3 MHz/mm$^2$. It consists of three stations, 61$\times$27 mm$^2$ each, which provide single-hit timing with 130 ps resolution. Each station is composed of a 200 $\mu$m thick planar silicon sensor, segmented in 300$\times$300 $\mu$m$^2$ pixels, bump-bonded to 2$\times$5 custom 100 $\mu$m thick ASIC, called TDCPix. Each TDCPix contains 40$\times$45 asynchronous pixels, and is instrumented with 360 pairs of time-to-digital converter channels with 100 ps bin. The three stations are installed in vacuum (about 10$^{-6}$ mbar) and cooled with liquid $\mathrm{C_6F_{14}}$ circulating through micro-channels etched inside silicon plates a few hundred microns thick. The total material budget is less than 0.5% $X_0$ per station. Detector description, operational experience and performance from the NA62 experimental run in 2016, at about 30% the nominal beam intensity, will be 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.854
Threshold uncertainty score0.997

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)0.0040.000

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 head0.029
GPT teacher head0.281
Teacher spread0.251 · 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