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Record W2168452546 · doi:10.1109/pac.1995.505300

Stabilizing a power amplifier feeding a high Q resonant load

2002· article· en· W2168452546 on OpenAlexaff
A.K. Mitra, R. Poirier, Jiemin Lu, R. Hohbach

Bibliographic record

VenueProceedings Particle Accelerator Conference · 2002
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsTRIUMF
Fundersnot available
KeywordsAmplifierLinear amplifierDirect-coupled amplifierTransmission lineRF power amplifierElectrical engineeringBooster (rocketry)Distributed amplifierPhysicsMaterials scienceOperational amplifierEngineeringCMOS

Abstract

fetched live from OpenAlex

A grounded grid power amplifier for the booster cavity of the TRIUMF cyclotron, operating at 92 MHz is found to be very stable when operating into a 50 /spl Omega/ load. However, when connected to a high Q cavity via a long transmission line it can become very unstable. Even though a phase shifter (trombone) enables one to adjust the resonant frequency of the cavity to be centered between two transmission line resonances, the amplifier tends to oscillate near the operating frequency due to insufficient isolation between input and output circuits. An expensive but easy solution to such a problem is to decouple the amplifier from the cavity and transmission line by employing a circulator. However, the solution that is presented in this paper uses external feedback from anode to cathode to neutralize the internal feedback inherently present in the tube. The neutralization is adjusted such that the isolation over the amplifier's bandwidth is increased by at least 15 dB. This along with input and output resistive damping has further stabilized the amplifier, which now operates routinely with no parasitic oscillation. Results of computer simulation of the amplifier response are reported.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.221
Teacher spread0.188 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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