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Record W2120386538 · doi:10.1109/pac.1991.165109

Developing the Chalk River Superconducting Cyclotron for operation in pi -mode

2002· article· en· W2120386538 on OpenAlexaff
J. A. Hulbert, Xiaolong Zhou

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsCryostatCyclotronSuperconducting magnetWater coolingBunchesRadio frequencyMagnetPhysicsMagnetic fieldParticle acceleratorNuclear magnetic resonanceOpticsSuperconductivityElectrical engineeringBeam (structure)EngineeringCondensed matter physics

Abstract

fetched live from OpenAlex

The Chalk River Superconducting Cyclotron operates in two RF modes. In the pi -mode, the voltages on the four dees move in opposition in adjacent dees, giving rise to high RF surface currents in the cavity wall under the magnetic hills, and to vertical asymmetries in the dee excitation. Studies on a half-scale RF model of the accelerating cavity have confirmed the current distribution and the magnitude of the vertical asymmetries. Cavity cooling provided in the initial design required augmentation for n-mode operation, but the magnet cryostat prevents access to the outside of the cavity. Additional cooling has been installed with cooling lines passing through high-RF-field regions to demountable cooling plates. Concurrently, instrumentation leads have been added to provide extra diagnostics of beam trajectories entering the extraction system.>

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)0.001
metaresearch head score (Gemma)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.047
GPT teacher head0.260
Teacher spread0.212 · 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
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
Published2002
Admission routes1
Has abstractyes

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