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Record W2093791556 · doi:10.1117/12.839204

Brillouin spectrum narrowing in high extinction ratio nanosecond pulse from phase locked DFB lasers

2009· article· en· W2093791556 on OpenAlexafffund
Yun Li, Xiaoyi Bao, Jeffrey Snoddy, Liang Chen

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBrillouin scatteringOpticsBrillouin zoneLaserNanosecondMaterials scienceExtinction ratioBandwidth (computing)OptoelectronicsPhysicsTelecommunications

Abstract

fetched live from OpenAlex

The Brillouin spectrum narrowing phenomenon for nanosecond pulses in Brillouin Optical Time Domain Analysis (BOTDA) sensor system is demonstrated with high extinction ratio (ER > 24 dB) nanosecond pulse over short fibre length (10 m). The line width of the Brillouin spectrum is ~52 MHz for 10 ns pulse by feedback phase locking of the pump and probe waves from: 1) DFB lasers (2 MHz bandwidth) and 2) fibre lasers (5 kHz bandwidth) at the Brillouin frequency. It is found that the coherent length (inverse of the Brillouin line width in the fibre) of the Brillouin scattering process is not determined by the laser bandwidth, rather by the enhanced phonon field generated from phase locked pump and probe lasers for nanosecond pulses. For the same bandwidth of the pump and probe lasers, the line width of the Brillouin spectrum with high extinction ratio nanosecond pulses under the phase locking of the pump and probe waves is much narrower than that from the frequency locking of the pump and probe waves at the Brillouin frequency.

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 score0.001
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)0.0010.000

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 head0.008
GPT teacher head0.222
Teacher spread0.214 · 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

Citations1
Published2009
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