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Record W2112410623 · doi:10.1109/pac.1989.73049

RF system for high-power industrial irradiators

2003· article· en· W2112410623 on OpenAlexaff
J.P. Labrie, S.T. Craig, N.H. Drewell, J. Ungrin, B. White

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsKlystronAmplifierRadio frequencyPhysicsElectrical engineeringBeam (structure)Linear particle acceleratorRF power amplifierPower (physics)Particle acceleratorOpticsOptoelectronicsEngineering

Abstract

fetched live from OpenAlex

The IMPELA family of industrial irradiators has electron beam energies ranging from 5 to 18 MeV at beam powers of 20 to 250 kW. Direct control of the RF fields during the beam pulses ensures constant output energy, independent of the beam current. These irradiators are designed for simple, push-button, reliable operation. The modular RF system supports the needs of either direct electron or photon conversion irradiations. The IMPELA I-10/50 prototype has a beam energy of 10 MeV and an average power of 50 kW. The RF system features a 1300-MHz, 2-MW peak, 150-kW average, modulated anode klystron amplifier with a maximum pulse length of 1 ms. A software-based control loop tracks the accelerator structure resonant frequency while a hardware loop controls the RF amplitude during the pulse. A circulator protects the klystron from reflected power and a crowbar protects the klystron from internal arcs. The design concepts of the system are described, and results from the characterization of the I-10/50 prototype RF system are presented.>

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)0.002
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: none
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0350.013

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 head0.027
GPT teacher head0.281
Teacher spread0.254 · 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
Published2003
Admission routes1
Has abstractyes

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