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Record W2589080883 · doi:10.11575/prism/25339

CMOS Laser Diode Drivers for Supercontinuum Generation

2016· dissertation· en· W2589080883 on OpenAlexfundno aff
Yuting He

Bibliographic record

VenuePRISM (University of Calgary) · 2016
Typedissertation
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsnot available
FundersCMC Microsystems
KeywordsSupercontinuumCMOSLaser diodeLaserOptoelectronicsDiodeMaterials scienceElectrical engineeringElectronic engineeringEngineeringOpticsPhysicsWavelength

Abstract

fetched live from OpenAlex

There have been intense research efforts on developing compact and low-cost supercontinuum generation (SCG) systems, which have various application areas including telecommunications, spectroscopy, and optical coherence tomography. This research employs complementary metal–oxide–semiconductor (CMOS) technology to design and implement two integrated laser diode drivers for reducing the size and cost of SCG systems. A continuous-wave CMOS driver with a maximum output current of 600 mA is developed for driving a laser diode in an erbium-doped fiber amplifier (EDFA). A picosecond pulsed CMOS driver is designed and applied for gain-switching a laser diode to produce optical pulses with a pulse width of 200 ps and a repetition rate of 5.6 MHz. The gain-switched laser diode output is amplified by an EDFA and then launched into a highly nonlinear fiber for SCG. The generated supercontinuum has an average power of 62 mW and a spectral bandwidth of 806 nm.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score0.711

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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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 designOther design
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

Citations0
Published2016
Admission routes1
Has abstractyes

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