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Record W2071649018 · doi:10.1109/lpt.2010.2077735

Single- and Dual-Wavelength Fiber Ring Laser Using Fiber Microdisk Resonator

2010· article· en· W2071649018 on OpenAlexaff
Zhaobing Tian, Chen Chen, David V. Plant

Bibliographic record

VenueIEEE Photonics Technology Letters · 2010
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcGill University
Fundersnot available
KeywordsMaterials sciencePolarization-maintaining optical fiberOpticsDispersion-shifted fiberFiber laserGraded-index fiberPhotonic-crystal fiberOptical fiberOptoelectronicsPlastic optical fiberSingle-mode optical fiberLaserWavelengthFiber optic sensorPhysics

Abstract

fetched live from OpenAlex

We demonstrate a fiber ring laser using a fiber-based microdisk resonator as the wavelength filter and a 2-mm-long tapered fiber as the coupling component. The fabrication process of the microdisk and tapered fiber is described. Depending on the optical coupling between the microdisk and the tapered optical fiber, either the fundamental or higher order transverse optical modes in the axial direction of the microdisk can be excited. When only the fundamental transverse mode of the microdisk is excited, the fiber laser operates at single wavelength and is polarization-insensitive. When the higher order transverse modes are excited, the fiber laser exhibits polarization sensitivity, and can operate in either single or dual-wavelength operation. A small spectral separation of 0.62 nm is achieved for dual-wavelength 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 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

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 studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
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 head0.009
GPT teacher head0.209
Teacher spread0.200 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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