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Record W2146692741 · doi:10.1139/p09-096

Gain enhancement in two-stream electromagnetically pumped free electron laser with ion-channel guiding

2010· article· en· W2146692741 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Physics · 2010
Typearticle
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsnot available
Fundersnot available
KeywordsWigglerPhysicsAtomic physicsElectronIonLaserFree electron modelFree-electron laserGainElectromagnetic radiationOpticsComputational physicsActive laser mediumCathode rayQuantum mechanicsLaser power scaling

Abstract

fetched live from OpenAlex

A theory of two-stream electromagnetic wave-wiggler free-electron lasers (TSEMWFEL) with an ion-channel guiding is proposed and investigated. An analysis of the two-stream steady-state electrons trajectories is obtained by solving the equation of motion in the electromagnetic wave wiggler and ion-channel guiding. The electron trajectories and the small signal gain are derived. Numerical calculations show that there are seven group trajectories rather than the two groups reported for conventional free-electron lasers. The characteristics of the linear-gain and the normalized maximum gain are studied numerically. It was also shown that the normalized gain of groups I and II is decreased and for groups (IV–VII) are increasing by growing [Formula: see text]. Furthermore, it was found that the two-stream with ion-channel field enhances the maximum gain in comparison with that for single beam.

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.

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 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 score0.061
Threshold uncertainty score0.956

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 head0.008
GPT teacher head0.203
Teacher spread0.196 · 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