MétaCan
Menu
Back to cohort
Record W2036844597 · doi:10.1109/jlt.2011.2132754

Continuously Tunable Time Delay Using an Optically Pumped Linear Chirped Fiber Bragg Grating

2011· article· en· W2036844597 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.

Bibliographic record

VenueJournal of Lightwave Technology · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFiber Bragg gratingMaterials scienceOpticsErbiumGroup delay and phase delayDispersion-shifted fiberTrue time delayDispersion (optics)ChirpYtterbiumPolarization-maintaining optical fiberOptical fiberOptoelectronicsFiber optic sensorLaserPhysicsBandwidth (computing)TelecommunicationsComputer science

Abstract

fetched live from OpenAlex

A simple method to achieve a large and tunable time delay of an optical signal by using a linearly chirped fiber Bragg grating (LCFBG) written in an erbium-ytterbium (Er/Yb) codoped fiber is proposed and demonstrated. The group delay response of the LCFBG can be tuned by optically pumping the LCFBG with different pumping powers, which leads to the tuning of the time delay. An LCFBG written in an Er/Yb codoped fiber is fabricated. A continuously tunable time delay up to 200 ps for a Gaussian pulse with a full-width at half-maximum of 7.6 GHz is experimentally demonstrated. The influence of the dispersion, the magnitude and group delay ripples of the LCFBG on the time delay performance, and also the stability of operation are investigated.

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 score0.405
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.251
Teacher spread0.221 · 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