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Record W2094269783 · doi:10.1117/12.970404

Enhanced axial strain sensitivity in plasmonic tilted fiber Bragg gratings sensors

2012· article· en· W2094269783 on OpenAlexaff
Valérie Voisin, Christophe Caucheteur, Patrice Mégret, Jacques Albert

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsCarleton University
Fundersnot available
KeywordsCladding modeCladding (metalworking)OpticsFiber Bragg gratingMaterials scienceAttenuationPlasmonPolarization (electrochemistry)PHOSFOSWavelengthLong-period fiber gratingOptoelectronicsOptical fiberFiber optic sensorPhysicsPolarization-maintaining optical fiber

Abstract

fetched live from OpenAlex

This paper experimentally analyses the axial strain sensitivity of gold-coated tilted fiber Bragg gratings immersed in liquid. For the polarization mode P (polarization parallel to the tilt plane), a strong attenuation of some cladding mode resonances appears in the transmitted spectrum due to the coupling with the Plasmon wave. When axially straining the grating, we report a unique behavior for the cladding mode resonance that presents the strongest attenuation. It presents an axial strain sensitivity (1.33 pm/με) higher than the Bragg wavelength (1.28 pm/με) and much higher than neighboring cladding modes (1.16 to 1.22 pm/με), meaning that differential strain measurements can be achieved with such a sensing platform.

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)0.001
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.010
GPT teacher head0.226
Teacher spread0.216 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced Fiber Optic SensorsFrench-language works237,207