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Record W3179616763 · doi:10.1063/5.0048741

Experimental realization of scalar and vector perfect Laguerre–Gaussian beams

2021· article· en· W3179616763 on OpenAlexaff
Xin Liu, Yashar E. Monfared, Ruixuan Pan, Pujuan Ma, Yangjian Cai, Chunhao Liang

Bibliographic record

VenueApplied Physics Letters · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrbital Angular Momentum in Optics
Canadian institutionsDalhousie University
FundersNational Key Research and Development Program of ChinaInnovation Group of JinanChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsOptical vortexLaguerre polynomialsPhysicsOpticsGaussian beamGaussianScalar (mathematics)Light beamPolarization (electrochemistry)Optical tweezersVortexRealization (probability)Beam (structure)Quantum mechanicsTopology (electrical circuits)MathematicsGeometry

Abstract

fetched live from OpenAlex

The generation of a perfect optical vortex (POV) has been an important area of research since the concept was introduced by Ostrovsky et al. [Opt. Lett. 38, 534 (2013)]. In this Letter, we provide the details of the experimental demonstration of a POV using perfect Laguerre–Gaussian beams via a phase-only spatial light modulator. The perfect beam properties, including radius, beam width, and ring thickness, are investigated in detail. We verify the vortex nature of the proposed perfect Laguerre–Gaussian beams including their topological charge value and sign. Finally, in addition to the scalar beams, we propose the vector perfect Laguerre–Gaussian beams both theoretically and experimentally and evaluate their perfect characteristics. The derived results clearly illustrate the perfect characteristics of such beams independent of the polarization state. The findings reported here can find significant applications in various fields including optical tweezers, optical imaging, and high capacity 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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.626

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 head0.006
GPT teacher head0.215
Teacher spread0.209 · 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 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

Citations41
Published2021
Admission routes1
Has abstractyes

Explore more

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