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Record W2148899509 · doi:10.1109/modsym.1990.201037

A 1 MHz chopper for injection into the TRIUMF KAON Factory

2002· article· en· W2148899509 on OpenAlexaff
C.B. Figley, G.D. Wait, Michael Barnes

Bibliographic record

VenueNineteenth IEEE Symposium on Power Modulators · 2002
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsTRIUMFUniversity of Saskatchewan
Fundersnot available
KeywordsChopperPhysicsElectrical engineeringBeam (structure)Duty cycleOpticsNuclear physicsVoltageEngineering

Abstract

fetched live from OpenAlex

The proposed KAON Factory expansion to the TRIUMF facility requires a high repetition rate beam chopper for injecting a 450 MeV H/sup -/ beam into the accumulator ring. The chopper must deflect the beam alternately for 49 or 92 ns. The rise and fall times of the field in the deflector must be less than 39 ns including the fill time of the deflector assembly. This represents a 22% duty cycle (including rise times) at a repetition rate of 1.0244 MHz to 1.0251 MHz. The chopper must provide an integral kick during the pulse of 200 kV/m*m (electric field*length). The deflector assembly will be between 1.8 m and 4.0 m long with the plate spacing between 5 cm and 10 cm. Traditional kickers were found to be inefficient, expensive or impractical when scaled to the high repetition rate and fast rise time required by the chopper. A novel technique for increasing the energy efficiency while maintaining pulse quality is being evaluated. The concept incorporates a low-loss transmission line on which pulses are stored; these pulses are used to deflect the beam and are then returned to the line for reshaping. Studies indicate that significantly less power is consumed compared to other techniques.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 categoriesMeta-epidemiology (narrow)
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 score0.150
Threshold uncertainty score1.000

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 head0.014
GPT teacher head0.218
Teacher spread0.204 · 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.

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

Citations2
Published2002
Admission routes1
Has abstractyes

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