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Record W4403344037 · doi:10.3788/col202422.103601

Metasurface-driven dots projection based on generalized Rayleigh-Sommerfeld diffraction theory

2024· article· en· W4403344037 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChinese Optics Letters · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsUniversity of Waterloo
FundersNational Natural Science Foundation of China
KeywordsOpticsDiffractionRayleigh scatteringProjection (relational algebra)Uniform theory of diffractionPhysicsPhysical opticsComputer scienceAlgorithm

Abstract

fetched live from OpenAlex

The diffractive optical element (DOE) is an important component of three-dimensional (3D) imaging systems based on structured light.In this work, we designed the metasurface-driven DOEs based on generalized Rayleigh-Sommerfeld diffraction theory to project large field of view (FOV) pseudo-random dot array for 3D imaging.We measured an efficiency of 61.04% and root-mean-square error (RMSE) of 0.45 for the 60FOV sample and an efficiency of 42.96% and RMSE of 0.75 for the 144FOV sample.Because the pattern is designed based on the generalized Rayleigh-Sommerfeld diffraction theory, the projected pattern is similar to the target pattern and has even intensity.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.001

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 head0.016
GPT teacher head0.275
Teacher spread0.259 · 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