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Record W3049147323 · doi:10.1109/lpt.2020.3016729

Investigation of Bi-Directionally, Dual-Wavelength Pumped Extended L-Band EDFAs

2020· article· en· W3049147323 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

VenueIEEE Photonics Technology Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOpticsOptical amplifierOptical pumpingNoise figureWidebandMaterials scienceWavelengthOptoelectronicsBandwidth (computing)LaserFiber laserWavelength-division multiplexingDiodeAmplifierPhysicsTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

We present numerical and experimental analysis of bi-directionally, dual-wavelength pumped extended L-band erbium-doped fiber amplifiers (EDFAs) that use a standard 1480 nm laser diode as the forward pump source and a high-power C-band light source as the backward pump source. When using a ~1535 nm backward pump, efficient amplification can be obtained over the extended L-band with no penalty to the noise figure. Experimentally, a bi-directionally pumped L-band EDFA achieves a wideband 20 dB-gain, covering 1570-1619 nm, with a noise figure lower than 5.6 dB. With either 1530.7 nm or 1537.8 nm as the backward pump wavelength, and 1480 nm as the forward pump wavelength, the power conversion efficiency is 40% higher compared to a configuration using 1480 nm pumping for both directions. To our best knowledge, it is the first time that C-band light has been used as the backward pump source for extended bandwidth of L-band EDFAs operating beyond 1610 nm.

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 categoriesMeta-epidemiology (narrow)
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 score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.199
Teacher spread0.184 · 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