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Record W1980684607 · doi:10.1139/p05-037

Resistive-plate-chamber background particles simulation studies for the endcap region of a compact muon solenoid/large hadron collider using the geometry and tracking code

2005· article· en· W1980684607 on OpenAlexvenueno aff
J.T. Rhee, Muhammad Jamil

Bibliographic record

VenueCanadian Journal of Physics · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
FundersKonkuk University
KeywordsPhysicsCompact Muon SolenoidMuonLarge Hadron ColliderNuclear physicsTracking (education)Resistive touchscreenMonte Carlo methodMuon colliderColliderDetectorSensitivity (control systems)Particle physicsParticle acceleratorOpticsBeam (structure)Electrical engineering

Abstract

fetched live from OpenAlex

We present a method to simulate the double-gap resistive plate chambers (RPC) background particles for the endcap region of a compact muon solenoid/large hadron collider using the geometry and tracking (GEANT) code. We demonstrate that the resistive plate chamber can be described using a realistic Monte Carlo simulation based on the GEANT code and analyzed with physics analysis work station (PAW) interfaces. Sensitivity calculations were performed for γ, e – , e + , and such particles in the range 0.1–100 MeV for their respective spectra. To evaluate the response of the detector in the large hadron collider (LHC) background environment, the γ, e – , and e + energy spectra expected in the compact muon solenoid (CMS) muon endcap region were taken into account whereas the RPC sensitivity was evaluated as a function of the detector size.PACS Nos.: 7.77.Ka, 7.85.Fv

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.297

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 head0.110
GPT teacher head0.327
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2005
Admission routes1
Has abstractyes

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