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Record W4401224238 · doi:10.12681/hnpsanp.6250

A study on the wall effect of the Spherical Proportional Counter for long-range particle detection

2024· article· en· W4401224238 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

VenueHNPS Advances in Nuclear Physics · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsQueen's University
Fundersnot available
KeywordsProportional counterPhysicsRange (aeronautics)Nuclear physicsDetectorNeutronParticle (ecology)Volume (thermodynamics)Particle detectorNeutrinoRadiationComputational physicsNeutron detectionOpticsMaterials science

Abstract

fetched live from OpenAlex

The Spherical Proportional Counter is a large-volume gaseous detector that finds application in many fields, like α, β, γ radiation detection, neutrino detection and Dark Matter research. When a reaction happens close to the detector wall it is possible for the produced particles to hit the wall and lose energy. This is known as the wall effect and it leads to wrong calculations of the incident particle energy. It depends on the particles’ range and the detector characteristics, such as its size and the gas pressure. In this work, a study has been done in order to quantify the wall effect for the SPC, for any application. We used neutron beams, which cover the total volume of the sphere and interact with the gas nuclei, giving several reactions. The presented data derive from simulations on GEANT4 and are in agreement with the experimental data from neutron beams of the TANDEM Accelerator Laboratory, NCSR Demokritos.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.216

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)0.0000.000

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 head0.012
GPT teacher head0.275
Teacher spread0.262 · 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