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Record W2158448931 · doi:10.1109/jlt.2008.929122

Spatially Filtered Feedback for Mode Control in Vertical-Cavity Surface-Emitting Lasers

2008· article· en· W2158448931 on OpenAlexaff
Reuven Gordon

Bibliographic record

VenueJournal of Lightwave Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsVertical-cavity surface-emitting laserPinhole (optics)OpticsLaserMaterials scienceSpatial filterSemiconductor laser theoryWavelengthDistributed feedback laserOptoelectronicsPhysics

Abstract

fetched live from OpenAlex

Transverse mode control of a vertical-cavity surface-emitting laser (VCSEL) is achieved by spatially filtered optical feedback. The spatial filter consisted of a pinhole, either 42 ¿m or 81 ¿m, in the 5.8 × magnified VCSEL image plane of a confocal lens arrangement. The pinhole was translated to map out the voltage drop across the VCSEL from spatially-selective feedback. For low injection currents, spatial filtered feedback enabled single fundamental mode operation due to higher-order mode suppression by appropriately locating the pinhole. For higher injection currents with five laser modes, spatial selection of feedback enabled control of the relative mode intensities and wavelengths. The maximum increase in mode intensity achieved was 1.8 × for the 4 ¿m pinhole and 2.4 × for the 81 ¿m pinhole. The maximum frequency shift achieved was - 2.7 GHz and - 7.1 GHz with the 42 ¿ and the 81 ¿m pinholes. The spatially selective optical feedback produced long-lived changes to the VCSEL even after the feedback was blocked-results for two separate trials where the recovery time was 38 minutes are presented (although results varied for different bias and feedback conditions).

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.572

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 head0.014
GPT teacher head0.232
Teacher spread0.218 · 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
Published2008
Admission routes1
Has abstractyes

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