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Record W2121807700 · doi:10.2961/jlmn.2009.01.0012

Modification of the Optical Performance of Fiber Bragg Gratings Using Femtosecond Laser Micromachining

2009· article· en· W2121807700 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Laser Micro/Nanoengineering · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Manchester
KeywordsMaterials scienceFemtosecondFiber Bragg gratingSurface micromachiningPHOSFOSOptoelectronicsLaserOpticsFiberFiber optic sensorPlastic optical fiberComposite materialFabrication

Abstract

fetched live from OpenAlex

This paper describes the use of femtosecond laser pulses to selectively modify the optical performance of as-fabricated fiber Bragg gratings (FBG) written in single mode optical fibers. As a result of the irradiation of FBGs by femtosecond laser pulses generated from a Ti:Sapphire amplifier, the resonance Bragg wavelength is changed, or split into two separate individual wavelengths. In addition, the bandwidth of the reflection peak is increased. Further analyses show that a change of 6.0910 -4 in the refractive index is achieved in a single pass of the laser beam. Periodic microgrooves are also inscribed along the fiber using femtosecond pulses. In addition to the optical performance, the sensing performance of the FBGs is increased by inscription of periodic microgrooves in the cladding of the fiber. The micromachined fibers are used for simultaneous measurement of temperature and concentration of liquids.

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.

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 score0.390
Threshold uncertainty score0.834

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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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