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Record W2036238024 · doi:10.1117/12.905717

Single-longitudinal-mode fiber optic parametric oscillator based on Smith predictor control scheme

2011· article· en· W2036238024 on OpenAlexaff
Ali Salehiomran, Seyed-Rahi Modirnia, Benoît Boulet, Martin Rochette

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsSmith predictorParametric statisticsControl theory (sociology)Transfer functionMulti-mode optical fiberLongitudinal modeOptical parametric oscillatorParametric oscillatorOpticsFunction (biology)Noise (video)Single-mode optical fiberPhysicsOptical fiberComputer scienceMathematicsLaserControl (management)EngineeringStatistics

Abstract

fetched live from OpenAlex

Fiber optical parametric oscillators are laser sources with multiple longitudinal modes arising from their cavity length reaching several tens of meters. To reduce the noise due to multimode beating, the spacing between neighboring modes is increased using a Smith predictor internal control scheme. The Smith predictor utilizes a model of the dynamic behaviour of the system to deal with pure time delay and eliminate the effect of the delay in the overall closed-loop system. Applying the smith predictor, the system can be made to operate in a single-longitudinal mode, removing the excess modes. In this paper a linear model for operation of parametric oscillator is proposed and based on that transfer function of Smith predictor enhanced parametric oscillator is established. Numerical analysis of resulting transfer function will lead us toward single-longitudinal mode operation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.212
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations1
Published2011
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicOptical Network TechnologiesFrench-language works237,207