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Record W2106067933 · doi:10.1109/pac.2003.1288997

Safety critical monitoring for prompt radiation hazards

2004· article· en· W2106067933 on OpenAlexaff
L. Moritz, J. Drozdoff, G. Dutto, F. Mammarella, M.M. Mouat, R. Ruegg

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadiation Effects in Electronics
Canadian institutionsTRIUMF
Fundersnot available
KeywordsElectromagnetic shieldingReliability (semiconductor)Beam (structure)Radiation protectionShielded cableReliability engineeringEnvironmental scienceNuclear engineeringComputer scienceEngineeringPhysicsElectrical engineeringOpticsNuclear physicsTelecommunications

Abstract

fetched live from OpenAlex

At TRIUMF we have used both passive and active methods to protect against potential prompt radiation hazards produced by accidental beam losses in high-intensity proton beam lines. These methods consist of shielding, exclusion areas, and the use of fast acting radiation monitors. The latter are located within the shielded areas and are set to terminate beam production on the detection of abnormal beam loss. A recent risk analysis has suggested a need for higher reliability in the protection against potential prompt radiation hazards where the shielding is relatively thin. To address this requirement TRIUMF has developed a new approach using two systems of independent and redundant monitoring devices located outside the shielding to protect against safety critical events with the required level of reliability. Verification of the system reliability is achieved by weekly testing of the safety critical monitors as well as the trip devices. When used in conjunction with the traditional beam loss monitors we are able to distinguish between safety critical events and non-safety critical beam trips.

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: none
Teacher disagreement score0.914
Threshold uncertainty score0.368

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 head0.006
GPT teacher head0.260
Teacher spread0.255 · 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
Published2004
Admission routes1
Has abstractyes

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