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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 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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
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 teacher head, not a consensus.

Study designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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