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Record W2063107003 · doi:10.1109/tns.2013.2261091

Proton-Induced Transient Charge Collection in GaAs and InAlSb/InAs-Based FETs

2013· article· en· W2063107003 on OpenAlexaff
Jeffrey H. Warner, Dale McMorrow, S. Büchner, J.B. Boos, Nicolás Roche, Philippe Paillet, Marc Gaillardin, E. W. Blackmore, M. Trinczek, Vishwa Ramachandran, Robert A. Reed, Ronald D. Schrimpf

Bibliographic record

VenueIEEE Transactions on Nuclear Science · 2013
Typearticle
Languageen
FieldEngineering
TopicRadiation Effects in Electronics
Canadian institutionsTRIUMF
Fundersnot available
KeywordsMESFETProtonOptoelectronicsTransient (computer programming)Materials scienceHigh-electron-mobility transistorField-effect transistorFull width at half maximumTransistorAtomic physicsVoltagePhysicsNuclear physics

Abstract

fetched live from OpenAlex

The single-event transient (SET) response of two different n-channel III-V field-effect transistor technologies (GaAs MESFET, InAlSb/InAs HEMT) is measured for the first time for MeV proton irradiation. The characteristics and mechanisms of the proton-induced response of these two technologies are presented and discussed in terms of previous heavy-ion and pulsed-laser measurements. The measurements show that the maximum collected charge, event cross section, pulse amplitude, and full width at half-maximum (FWHM) all increase with increasing proton energy, and decrease as the devices are biased more strongly in depletion. The results are consistent with the presence of charge-enhancement processes that are a consequence of ionization-induced hole accumulation in the substrate/buffer regions of the devices. The InAlSb/InAs HEMT measurements reveal at least an order-of-magnitude lower sensitivity to proton-induced transient generation than the GaAs MESFET in terms of both collected charge and cross section.

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 score0.003

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.210
Teacher spread0.204 · 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

Citations11
Published2013
Admission routes1
Has abstractyes

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