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Record W3025689081

Design and measurements of a damping ring kicker for the ILC

2007· article· en· W3025689081 on OpenAlexaff
Michael Barnes, G.D. Wait

Bibliographic record

Venuepac · 2007
Typearticle
Languageen
FieldEngineering
TopicPulsed Power Technology Applications
Canadian institutionsTRIUMF
Fundersnot available
KeywordsGenerator (circuit theory)PhysicsPulse generatorStriplineElectrical engineeringOmegaPulse (music)Stack (abstract data type)Burst mode (computing)International Linear ColliderVoltageOpticsEngineeringComputer sciencePower (physics)
DOInot available

Abstract

fetched live from OpenAlex

The International Linear Collider (ILC) requires ultra fast kickers for the damping ring. The modulators must produce pulses of plusmn5 kV magnitude, with rise and fall times of 6 ns or less depending on the final configuration [1]. The deflector plates will be configured as a 50 Omega stripline, charged to opposite polarities, providing a potential difference of 10 kV. The pulse magnitude must be repeatable to a high accuracy. The need for 3.25 MHz burst mode operation, at 5 Hz, gives an average repetition rate of up to 16.3 kHz [2]. This paper describes a novel design for a pulse generator for the damping ring kickers, in which two stacks of 1 kV FETS will be combined to generate the fast pulses. Each stack of FETs is a 100 Omega driver: the two stacks form a 50 Omega pulse generator as this is preferable to one 50 Omega stack. Measurements and calculations are presented on the present state of the TRIUMF prototype pulse generator.

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)0.002
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.043
GPT teacher head0.271
Teacher spread0.227 · 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
Published2007
Admission routes1
Has abstractyes

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