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Record W2078524690 · doi:10.1117/12.841198

A floating gate double quantum well far-infrared photoconductor

2010· article· en· W2078524690 on OpenAlexafffund
Elizabeth Ledwosinska, Thomas Szkopek

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsMcGill University
KeywordsQuantum well infrared photodetectorResponsivityOptoelectronicsQuantum wellPhysicsGratingOpticsPhotodetectorInfraredMaterials scienceLaser

Abstract

fetched live from OpenAlex

The design and characterization of a floating gate GaAs/AlGaAs double quantum well long-infrared photoconductor is reported, with record operating temperature and modulation bandwidth for a device of this type. The principle of device operation relies on the photoionization of one quantum well, which functions as a floating gate, to modulate the conductance of the underlying quantum well, which functions as a transistor channel. Photoionization under normal incidence illumination is facilitated by a metal grating. Responsivity of 80-160 A/W for 12-20 μm long-infrared radiation has been observed at a 10 K device temperature, and photoresponse is clearly discernable up to 30 K. The modulation bandwidth was measured to exceed 1 kHz. An NEP = 2×10-11 W/ square root Hz, and D* = 4×108 cm square root Hz/W were measured, as limited by quantum well conductance fluctuations. Device performance is in fair competition with conventional QWIPs and we also propose a method to increase input saturation power in a photodetector of this structure.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2010
Admission routes2
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicSemiconductor Quantum Structures and DevicesFrench-language works237,207