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Record W4321435113 · doi:10.1364/ao.482070

Orthogonal polarization multi-wavelength Brillouin random fiber laser with triple Brillouin frequency shift space

2023· article· en· W4321435113 on OpenAlexaff
Xiang Gu, Chunhua Wang, Keshuai Wu, Nian Fang, Liang Chen, Xiaoyi Bao

Bibliographic record

VenueApplied Optics · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRandom lasers and scattering media
Canadian institutionsUniversity of Ottawa
FundersNational Natural Science Foundation of China
KeywordsOpticsBrillouin scatteringBrillouin zoneLasing thresholdPolarization (electrochemistry)Polarization-maintaining optical fiberMaterials scienceFiber laserWavelengthOptical fiberPhysicsFiber optic sensor

Abstract

fetched live from OpenAlex

A novel multi-wavelength Brillouin random fiber laser with the channel space of triple Brillouin frequency shift and high polarization orthogonality between adjacent wavelengths (TOP-MWBRFL), to the best of our knowledge, is experimentally demonstrated. The TOP-MWBRFL is structured in a ring form by cascading two Brillouin random cavities of single-mode fiber (SMF) and one Brillouin random cavity of polarization-maintaining fiber (PMF). Based on polarization pulling properties of stimulated Brillouin scattering in long-distance SMFs and PMFs, the states of polarization (SOPs) of lasing light from SMF random cavities are linearly bounded to the SOPs of local pump light, whereas the SOP of lasing light from the PMF random cavity is strictly clamped on one of the principal axes of the PMF. Thus, the TOP-MWBRFL can stably emit multi-wavelength light with high polarization extinction ratio (>35dB) between adjacent wavelengths without precise polarization feedback. In addition, the TOP-MWBRFL can also work in one polarization mode to stably lase multi-wavelength light with SOP uniformity as high as 37 dB.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.216
Teacher spread0.206 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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