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Picosecond and high-power UV/Vis light pulsing using gallium nitride field-effect transistors: implementation and design evaluation

2023· article· en· W4387460485 on OpenAlexaff
Felix Henningsen, N. Braam, M. Danninger

Bibliographic record

VenueJournal of Instrumentation · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Optical Sensing Technologies
Canadian institutionsUniversity of VictoriaSimon Fraser University
Fundersnot available
KeywordsOptoelectronicsPicosecondMaterials scienceDiodeTransistorPhotonOpticsLight-emitting diodeCommon emitterLaserPhysics

Abstract

fetched live from OpenAlex

Abstract This paper discusses the development of cost-effective and high-performance picosecond and high-power light pulsers. The use of innovative gallium nitride field-effect transistor technology, in combination with meticulous electronic design and careful selection of light-emitting diodes or laser diodes for ultraviolet and visible spectral ranges, has resulted in superior characteristics compared to commonly used designs. The sub-ns design achieves pulse widths as low as 300 ps, with photon outputs ranging between 10 4 -10 9 photons per pulse, over a wavelength range of 235-470 nm. Meanwhile, the high-power design achieves pulse widths as low as 1.8 ns, with photon outputs ranging between 10 7 -10 11 photons per pulse, and a wavelength range of 375-525 nm. The two designs complement each other in photon outputs, covering a dynamic range of almost ten orders of magnitude. This paper provides an evaluation of the electrical design and emitter selection of both pulsers, as well as their electrical and optical performance.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.373

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 head0.024
GPT teacher head0.324
Teacher spread0.301 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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