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Record W2010049492 · doi:10.1117/12.567356

Stimulated Brillouin scattering modeled through a finite difference time domain approach

2004· article· en· W2010049492 on OpenAlexafffund
Andrew E. Marble, Kellie Brown, Bruce G. Colpitts

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaAtlantic Canada Opportunities AgencyNew Brunswick Innovation Foundation
KeywordsBrillouin scatteringFinite-difference time-domain methodOpticsOptical fiberPhysicsScatteringTime domainLaser linewidthBrillouin zoneLight scatteringAcousticsComputational physicsComputer scienceLaser

Abstract

fetched live from OpenAlex

Stimulated Brillouin scattering (SBS), in an optical fiber, is a three-wave interaction (3WI) resulting from a coupling between light and acoustic waves. In a fiber optic sensing context, SBS results from the interaction between counterpropagating pulsed and continuous fields. We formulate a solution to the time dependant, one dimensional 3WI model in a SBS based fiber optic sensor. It is shown that a low complexity, first order finite difference time domain (FDTD) solution is capable of accurately modelling the dynamics of SBS with little computational effort. A modification to the first order scheme is proposed to combat numerical damping and dispersion, brought on by the low order of the solution. Examples are presented, validating the performance of our modelling technique. The effect of pulse power and risetime on the resulting scattering is examined, along with the effects of &gamma;<sub>a</sub>, an intrinsic fibre parameter related to the linewidth of the Brillouin spectrum. The spatial and temporal evolution of the acoustic field is illustrated; the effect of the steady state value of this field on the 3WI is investigated. The steady state acoustic field strength is related to the extinction ratio of the pulsed source, and it is found that this parameter has a significant influence on the scattering. This type of modelling provides a rapid means of investigating SBS as a tool in fiber optic sensing.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.219
Teacher spread0.207 · 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 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

Citations5
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced Fiber Optic SensorsFrench-language works237,207