MétaCan
Menu
Back to cohort
Record W4389891206 · doi:10.1109/lpt.2023.3344683

Wavelength-Space Parity-Time Symmetric Optoelectronic Oscillator Using a Chirped Fiber Bragg Grating

2023· article· en· W4389891206 on OpenAlexafffund
Junhan Fu, Zheng Dai, Xiuyou Han, Jianping Yao

Bibliographic record

VenueIEEE Photonics Technology Letters · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship Council
KeywordsFiber Bragg gratingWavelengthMaterials scienceOpticsPhase noisedBcOptoelectronicsGratingPhysics

Abstract

fetched live from OpenAlex

A wavelength-space parity-time (PT) symmetric optoelectronic oscillator (OEO) with the gain/loss balance implemented using a chirped fiber Bragg grating (CFBG) is proposed and experimentally demonstrated. In the proposed OEO, two optical carriers at two different wavelengths are employed to form two coupled wavelength-space OEO loops, with one wavelength reflected from the top of the CFBG refection spectrum and the other from the slope of the refection spectrum, thus making one OEO loop have a gain and the other a loss. Once the gain and loss coefficients are matched and the gain coefficient is greater than the coupling coefficient, PT symmetry is broken, and a single-frequency oscillation is enabled. The operation of the proposed OEO is evaluated by an experiment. A microwave signal at 6.19 GHz is generated. The side mode suppression ratio (SMSR) is measured to be 32 dB and the phase noise is measured to be -118 dBc/Hz at an offset frequency of 10 kHz. The stability of the OEO is also studied.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueIEEE Photonics Technology LettersSame topicAdvanced Photonic Communication SystemsFrench-language works237,207