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Record W1994331252 · doi:10.1109/lpt.2013.2282353

An All-Pole-Type Cavity Based on Smith Predictor to Achieve Single Longitudinal Mode Fiber Lasers

2013· article· en· W1994331252 on OpenAlexaff
Ali Salehiomran, Martin Rochette

Bibliographic record

VenueIEEE Photonics Technology Letters · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsMcGill University
Fundersnot available
KeywordsFiber laserMaterials scienceLaserOpticsTunable laserBandwidth (computing)OptoelectronicsLongitudinal modeErbiumSingle-mode optical fiberWavelengthComputer sciencePhysicsTelecommunications

Abstract

fetched live from OpenAlex

We propose and experimentally demonstrate an all-pole-type cavity structure to force single longitudinal mode (SLM) operation in fiber lasers. The proposed structure is based on the modified version of the Smith predictor, which compensates delay in a closed-loop feedback system. This structure is applicable to arbitrary wavelengths and gain media, does not limit the tunability range of the laser, and does not require few centimeters long loops or Fabry-Pérot tunable filters to achieve SLM operation. Thus, the major drawbacks of the conventional SLM forcing mechanisms are alleviated. Therefore, this structure can be considered as a universal approach to SLM operation in fiber lasers. To exemplify this structure, an erbium-doped fiber ring laser in continuous-wave mode is implemented. The SLM operation is confirmed from the RF spectrum over a 10 GHz bandwidth, and the laser is tunable over 62 nm from 1512 to 1574 nm.

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)0.000
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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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
GenreMethods

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
Published2013
Admission routes1
Has abstractyes

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