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Record W2912439853 · doi:10.2172/1491462

Blinded by the Light: Commissioning of the Hall C SHMS Heavy Gas Cherenkov Detector

2018· report· en· W2912439853 on OpenAlexaff
George Ryan Ambrose

Bibliographic record

Venuenot available
Typereport
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPhotomultiplierCherenkov radiationDetectorParticle identificationPhysicsCherenkov detectorNuclear physicsSpectrometerCalibrationData acquisitionOpticsComputer science

Abstract

fetched live from OpenAlex

The University of Regina built a heavy gas Cherenkov (HGC) detector for use at the Thomas Jefferson National Accelerator Facility (JLab) as it enters a new era of 12 GeV experiments. This detector will play an important role in pi/K separation between 3 - 11 GeV/c in experimental Hall C and is housed in the Super High Momentum Spectrometer (SHMS). Recently, the first experimental data have become available, allowing the performance of the HGC to be evaluated. The calibration procedure developed is presented, as well as the characterization of the Poisson nature of the photomultiplier tube photoelectron response. Calculation of the HGC efficiency is also performed and used as an independent confirmation of the index of refraction of the Cherenkov media. This thesis also outlines JLab’s experimental Hall C, the data acquisition, the HGC simulation, and the particle identification capabilities of the HGC in an experimental setting.

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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.003

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 head0.039
GPT teacher head0.286
Teacher spread0.247 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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