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Record W2029145059 · doi:10.1364/domo.2002.dmd2

Multiplexing of arbitrary-shaped polygonal apertures with discrete phase levels to design computer-generated holograms

2002· article· en· W2029145059 on OpenAlexaff
Jean-Numa Gillet, Yunlong Sheng

Bibliographic record

VenueDiffractive Optics and Micro-Optics · 2002
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Imaging Technologies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHolographyComputer-generated holographyLithographyElectron-beam lithographyOpticsFourier transformMultiplexingComputer sciencePixelBeam (structure)Phase (matter)Diffraction efficiencyMaterials sciencePhysicsTelecommunicationsResist

Abstract

fetched live from OpenAlex

The iterative Fourier-transform algorithm (IFTA) has been widely used in the design of computer-generated holograms (CGHs) and diffractive optical elements [1]. However, the IFTA becomes computationally expensive when the size of the CGH to design is larger than 512 × 512 pixels per period. On the other hand, modern lithographic techniques as electron-beam (e-beam) lithography provide to the CGH an extremely large number of degrees of freedom whose exploitation during the numerical design is of great importance [2-4].

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.782
Threshold uncertainty score1.000

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 head0.033
GPT teacher head0.260
Teacher spread0.226 · 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.

Study designBench or experimental
Domainnot available
GenreMethods

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
Published2002
Admission routes1
Has abstractyes

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