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Record W1567846860 · doi:10.1109/modsym.1992.492593

AN ALTERNATIVE DESIGN CONCEPT FOR A I MHz BEAM CHOPPER FOR THE KAON FACTORY

2005· article· en· W1567846860 on OpenAlexaff
G.D. Wait, Michael Barnes

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsTRIUMF
Fundersnot available
KeywordsChopperElectrical engineeringDuty cycleVoltageCoaxial cableCoaxialBeam (structure)PhysicsRise timeParticle acceleratorOpticsMaterials scienceEngineering

Abstract

fetched live from OpenAlex

A high repetition rate ( lo6 discrete pulses/s) beam chopper operating at a 100% duty cycle is required to create holes in the beam for kicker magnet operation in the 5 rings in the proposed KAON Factory synchrotron. The results of prototype studies on a novel design for an energy efficient 150 kW beam chopper are described as the “reference” design in another paper at this conference [l]. Initial measurements are presented for an alternative method of pulse control which permits the deflection voltage to be twice the magnitude of the high voltage power supply level and thus twice that in the reference design. A 150 kW tetrode was mounted at the center of a 10 cm diameter low loss cable which is open circuit at one end and short circuit at the other end. In prototype tests at 3% duty factor, 7 kV electrical pulses were stored in the coaxial cable. By using a novel pulse control technique the magnitude of the stored pulses was quadrupled and the frequency at the open circuit end of the cable was halved. Results are shown in which the deflection voltage was 14 kV and rise and fall times were between 30 ns and 40 ns.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.276
Teacher spread0.240 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations3
Published2005
Admission routes1
Has abstractyes

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