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Record W4211041720 · doi:10.1139/cjp-2019-0066

Influence of anisotropic ocean turbulence on effective radius of curvature of partially coherent Hermite–Gaussian beam

2022· article· en· W4211041720 on OpenAlexvenueno aff
Pengfei Cao

Bibliographic record

VenueCanadian Journal of Physics · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrbital Angular Momentum in Optics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsTurbulenceAnisotropyBeam (structure)Rayleigh lengthRADIUSGaussian beamCurvatureHuygens–Fresnel principleGaussianComputational physicsOpticsClassical mechanicsMechanicsGeometryQuantum mechanicsLaser beams

Abstract

fetched live from OpenAlex

Based on the extended Huygens–Fresnel principle and Wigner distribution function (WDF), the influence of anisotropic ocean turbulence on effective radius of curvature (ERC) for partially coherent Hermite–Gaussian (PCHG) beams is studied in detail. Our numerical results show that the beam orders and the anisotropic ocean turbulence factors have a certain influence on ERC of PCHG beams propagating in anisotropic ocean turbulence. Besides, ocean turbulence parameters and beam initial parameters would exert different influence on ERC of PCHG beams propagating in anisotropic ocean turbulence. In addition, Rayleigh range of PCHG beams propagating in anisotropic ocean turbulence decreases with increasing anisotropic ocean turbulence factors. These findings may be used for anisotropic ocean optical communications of PCHG beams.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.607

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)0.0000.000

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 head0.005
GPT teacher head0.203
Teacher spread0.199 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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