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Record W2105140611 · doi:10.1109/lpt.2002.1021992

Group delay ripple of cascaded Bragg grating gain flattening filters

2002· article· en· W2105140611 on OpenAlexaff
H. Chotard, Y. Painchaud, Alain Mailloux, Michel Morin, François Trépanier, M. Guy

Bibliographic record

VenueIEEE Photonics Technology Letters · 2002
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsTeraXion (Canada)
Fundersnot available
KeywordsRippleFiber Bragg gratingAmplitudeFlatteningOpticsRoot mean squareMaterials scienceFilter (signal processing)PhysicsOptical fiberComputer science

Abstract

fetched live from OpenAlex

Chirped fiber Bragg gratings used as gain flattening filters were fabricated with peak-to-peak group delay ripple (GDR) less then 3 ps. It is shown that GDR of cascaded similar filters grows as the square root of their number. Group delay measurement is discussed and ripple quantifiers using peak-to-peak amplitude root-mean-square amplitude 100-pm window averaged amplitude and highest Fourier amplitude are compared. GDR of gain flattening filters based on chirped fiber Bragg gratings should not cause significant impairments in systems operating at 10 and 40 Gb/s.

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 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 score0.471
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 studies0.0000.000
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 head0.010
GPT teacher head0.194
Teacher spread0.185 · 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.

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

Citations24
Published2002
Admission routes1
Has abstractyes

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