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Record W2908715737 · doi:10.1364/ao.58.000545

Comparison of different schemes for stimulated Brillouin scattering enhancement

2019· article· en· W2908715737 on OpenAlexaff
Ilya Golub, Ahmad Atieh, Pranav Mohanan

Bibliographic record

VenueApplied Optics · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsOptiwave Systems (Canada)Algonquin College
Fundersnot available
KeywordsBrillouin scatteringOpticsResonatorScatteringFiberOptical fiberSingle-mode optical fiberDouble-clad fiberRing (chemistry)PhysicsMode volumePower (physics)Materials scienceGraded-index fiberFiber optic sensor

Abstract

fetched live from OpenAlex

A comparison of different schemes to enhance stimulated Brillouin Scattering (SBS) in single-mode optical fiber is performed. Specifically, we evaluated SBS generation efficiency in a 3 km length fiber with and without power recycling versus the same fiber placed in a ring resonator and in a ring resonator in a recycling configuration. For the latter case, a large number of both odd and even higher-order Stokes and anti-Stokes harmonics is generated. We show that the choice of the scheme is dictated by specific application. In addition, when incorporating a ring resonator in a Sagnac loop, a flat optical frequency comb is generated.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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