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Record W2087481155 · doi:10.1364/oe.20.014779

Thermal and mechanical properties of tapered single mode fiber measured by OFDR and its application for high-sensitivity force measurement

2012· article· en· W2087481155 on OpenAlexaff
Xiaozhen Wang, Wenhai Li, Liang Chen, Xiaoyi Bao

Bibliographic record

VenueOptics Express · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMaterials scienceOpticsReflectometryRefractive indexWavelengthSingle-mode optical fiberOptical fiberPhotonic-crystal fiberGraded-index fiberThermalSensitivity (control systems)Fiber optic sensorOptoelectronicsTime domainPhysics

Abstract

fetched live from OpenAlex

We investigate the thermal and mechanical properties of optical fiber taper by using a high spatial resolution Optical Frequency-domain Reflectometry scheme. It was found that the spectral shifts induced by the temperature or strain changes in the fiber taper region are strongly related to the refractive index change of the fundamental mode. It is shown that residual stress induced by taper process results in the inhomogeneous thermal properties, which are eliminated by annealing treatment. The wavelength-force sensitivity is dramatically enhanced by the reduced waist diameter of the taper. It was demonstrated that a taper with a waist diameter of ~6 μm has a wavelength-force coefficient of 620.83 nm/N, ~500 times higher than that of the standard single mode fiber.

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 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 score0.101
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

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 science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.219
Teacher spread0.186 · 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.

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

Citations23
Published2012
Admission routes1
Has abstractyes

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