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Record W2046700263 · doi:10.1364/oe.18.009378

Application of a passively mode-locked quantum-dot Fabry-Perot laser in 40 Gb/s all-optical 3R regeneration

2010· article· en· W2046700263 on OpenAlexaff
Xuefeng Tang, Sung Han Chung, John C. Cartledge, Alexandre Shen, Akram Akrout, Guang–Hua Duan

Bibliographic record

VenueOptics Express · 2010
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsJitterRetimingOpticsLaserRegenerative heat exchangerFabry–Pérot interferometerModulation (music)Mode-lockingPhase modulationOptoelectronicsMaterials sciencePhysicsPhase noiseComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

The application of a mode-locked quantum-dot Fabry-Perot (QD-FP) laser in a wavelength preserving all-optical 3R regenerator is demonstrated at 40 Gb/s. The 3R regenerator consists of a QD-FP laser for low-timing jitter clock recovery, cross-phase modulation based retiming, and self-phase modulation based reshaping. The performance of the alloptical 3R regenerator is assessed experimentally in terms of the Q-factor, timing jitter and bit-error ratio.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.846

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 integrity0.0000.001
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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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 designSimulation or modeling
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

Citations4
Published2010
Admission routes1
Has abstractyes

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