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Record W2171034931 · doi:10.1109/jlt.2006.881464

Modeling of plasmon-polariton refractive-index hollow core fiber sensors assisted by a fiber Bragg grating

2006· article· en· W2171034931 on OpenAlexaff
Nemova, Kashyap

Bibliographic record

VenueJournal of Lightwave Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsFiber Bragg gratingMaterials scienceGraded-index fiberPhotonic-crystal fiberOpticsMode volumeDispersion-shifted fiberPolarization-maintaining optical fiberPlastic optical fiberLong-period fiber gratingRadiation modeOptical fiberMicrostructured optical fiberOptoelectronicsFiber optic sensorCoupled mode theoryFiberWaveguideSingle-mode optical fiberPHOSFOSRefractive indexWavelengthPhysics

Abstract

fetched live from OpenAlex

The theoretical model of a new hollow core fiber sensor based on the specific properties of the surface plasmon polariton (SPP) excited with a fiber Bragg grating is proposed and comprehensively investigated. The main principle of operation of this new device is based on the efficient energy transfer between the fiber waveguide mode (FWM) and the SPP provided by a properly designed short-period fiber Bragg grating imprinted into a waveguide fiber layer of a specially designed hollow core optical fiber. The waveguide fiber layer is the dielectric layer of the fiber with the highest refractive index. The FWM is a fiber mode oscillating in this layer and exponentially decaying in all other fiber layers. Presented for the cylindrical (fiber) geometry, the scheme without loss of generality can be applied to the planar geometry. The simulations are based on the coupled mode theory and performed for well-developed telecom wavelength ranges.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.230
Teacher spread0.220 · 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

Citations31
Published2006
Admission routes1
Has abstractyes

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