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Record W2061267500 · doi:10.1049/ip-opt:20030390

Truncated-inverted-pyramid light emitting diode geometry optimisation using ray tracing technique

2003· article· en· W2061267500 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

VenueIEE Proceedings - Optoelectronics · 2003
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsCrosslight Software (Canada)
Fundersnot available
KeywordsRay tracing (physics)OpticsRefractionPyramid (geometry)Distributed ray tracingLight-emitting diodeDiodeGeometrical opticsComputationPhysicsRayGeometryComputer scienceOptoelectronicsMathematics

Abstract

fetched live from OpenAlex

The authors have optimised the light emitting diodes (LED) of truncated-inverted-pyramid (TIP) geometry using the ray tracing technique together with electronics simulation. A unique feature of their ray tracing technique is the geometrical treatment combined with a wave optics approach, taking into account refraction, reflection, absorption and interference effects. Their model enables the computation of the angular distribution of the transmitted power of an LED of arbitrary geometry in two dimensions. They have analysed the light power transmitted into a selected angular sector. It is different from known TIP LED experimental results because a wide range of angles have been used in the simulation so that more detailed pictures could be analysed. For example, three major peaks of the light output power in an inclination angle dependency have been discovered. The variations of the structural parameters of TIP LEDs allowed the authors to define some other optimal parameters for a variety of purposes.

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 categoriesMeta-epidemiology (narrow)
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 score0.206
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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