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Record W2114616968 · doi:10.1364/jon.7.000277

System impairment of birefringence in fiber Bragg gratings in optical networks

2008· article· en· W2114616968 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 Optical Networking · 2008
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsApodizationOpticsFiber Bragg gratingBirefringenceMaterials scienceWavelengthPolarization mode dispersionPolarization (electrochemistry)Optical fiberPhysics

Abstract

fetched live from OpenAlex

Considering the presence of birefringence in fiber Bragg gratings (FBGs), the spectral polarization mode dispersion and polarization-dependent-loss-induced power penalty of eye opening is simulated for a network consisting of cascaded FBGs with various index apodization profiles. It is shown that with the same FBG length, 3dB bandwidth, and the birefringence value, FBGs with Gaussian index apodization profiles introduce the highest power penalty compared to FBGs with other apodization profiles, such as raised cosine, Blackman, etc. When there is wavelength misalignment up to 0.1nm between the central FBG's resonance and the wavelength of the laser source, the birefringence-induced power penalty can be up to a few times higher than the case with no wavelength misalignment.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.207
Teacher spread0.195 · 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