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Record W4404467124 · doi:10.1364/ao.538616

Miniaturized dual-photodiode sensor for simultaneous wavelength and irradiance measurement across the 500–1000  nm range

2024· article· en· W4404467124 on OpenAlexaff
K. Cho, D. Lee

Bibliographic record

VenueApplied Optics · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhotodiodeOpticsIrradianceMaterials scienceWavelengthOptoelectronicsRange (aeronautics)Stray lightPhysics

Abstract

fetched live from OpenAlex

We introduce what we believe to be a novel chip-scale dual-photodiode sensor capable of simultaneously measuring centroid wavelength and irradiance within the 500–1000 nm range. The sensor employs a dual-photodiode design, where one photodiode is equipped with a coated filter layer to create differential responsivity, allowing for accurate spectral and intensity detection. Our sensor demonstrates high accuracy, with centroid wavelength and intensity measurements within a 5% margin of error for light sources with a full width at half maximum (FWHM) of 50 nm. This design supports the use of optional optical filters tailored to specific wavelength ranges, enhancing adaptability across diverse applications. Experimental validation confirms its practical potential in a variety of fields, including precision agriculture, horticulture, and environmental monitoring, especially for studies involving far-red and near-infrared light sources. The chip-scale fabrication of the sensor ensures cost-effective, portable, and scalable deployment, positioning it as a versatile solution for advancing optical sensing technologies in various scientific and industrial fields.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.748

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 head0.019
GPT teacher head0.266
Teacher spread0.247 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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