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Record W1587881667 · doi:10.1109/leos.1996.571654

An electro-optical modulator utilizing high-energy electrons in the free-space

2002· article· en· W1587881667 on OpenAlexaff
Ramin Sabry, S.K. Chaudhuri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInterfacingPhysicsBandwidth (computing)ElectronOptical switchFree electron modelComputer scienceOptoelectronicsOpticsTelecommunicationsLaser

Abstract

fetched live from OpenAlex

Gaining access to the ultrawide bandwidth of optical channels through a suitable electro-optical interface is an important issue for future optoelectronic technology. Considering the broad-bandwidth nature of relativistic free-electron generators of violet and ultraviolet radiation, it would be reasonable to devise a scheme based on the same principles for electro-optical interfacing in the near infrared and even soft X-ray regime. Realisation of such a device does not seem to be unrealistic considering the growing advances in electron-beam injection and microsystems technology. For optoelectronic applications, such as those for very-high bit-rate data communication, the device must be compatible to an existing system. Therefore, the interaction design in a small and economic size has to be considered. On this basis, we initiated a search for a device by looking for potential schemes which take advantage of relativistic electrons and electromagnetic field interaction. We previously adopted a characteristic interaction model with small dimensions and studied the electronic to optical transition/modulation process. The operating characteristics, e.g., coupled wavelengths and gain, associated with the electro-optical coupling process were derived in terms of model parameters and the challenges were defined accordingly. As a continuation of this work, here we explore an interaction design based on the use of cyclotron relativistic electrons. One important advantage of this scheme is that electrons can be easily re-used for another interaction cycle. Another advantage is that for the same physical dimensions, this design offers a longer interaction length which results in gain and power enhancement.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.198
Teacher spread0.187 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2002
Admission routes1
Has abstractyes

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