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Record W2953764552 · doi:10.1088/2040-8986/ab2c48

Standard and elegant higher-order Laguerre–Gaussian correlated Schell-model beams

2019· article· en· W2953764552 on OpenAlexaff
Chunhao Liang, Raha Khosravi, Xiaoxiong Liang, Barbora Kacerovská, Yashar E. Monfared

Bibliographic record

VenueJournal of Optics · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrbital Angular Momentum in Optics
Canadian institutionsDalhousie University
FundersChina Scholarship Council
KeywordsLaguerre polynomialsOpticsGaussianPhysicsOrder (exchange)Quantum mechanics

Abstract

fetched live from OpenAlex

Abstract To date, all of the Laguerre–Gaussian (LG) correlated Schell-model beams proposed and studied are restricted to the standard form with the beam mode indices (0, l ), termed as a SLG 0 l CSM beam. We propose, for the first time, the elegant and standard higher-order LG correlated Schell-model beams as an extension to a SLG 0 l CSM beam. We develop theoretical formulae to determine the beam mode indices of a vortex beam and describe propagation effects of such beams. We demonstrate that by controlling the beam mode indices, one can produce different intensity distribution patterns during propagation, for example, a dark or solid core surrounded by bright concentric rings. Moreover, using our proposed beams, we illustrate how single-layer and multi-layer adjustable optical cages can be formed near the back of the focal zone of a lens. As anticipated, the proposed beams may find important applications in particle trapping, optical manipulation and optical communications.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.228
Teacher spread0.223 · 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 designTheoretical or conceptual
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

Citations19
Published2019
Admission routes1
Has abstractyes

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