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Record W1971883873 · doi:10.1117/12.828514

CZT device with improved sensitivity for medical imaging and homeland security applications

2009· article· en· W1971883873 on OpenAlexaff
H. Chen, Salah A. Awadalla, Pramodha Marthandam, K. Iniewski, P. H. Lu, Glenn Bindley

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Semiconductor Detectors and Materials
Canadian institutionsRedlen Technologies (Canada)
Fundersnot available
KeywordsDetectorOptoelectronicsMaterials scienceSchottky diodeSensitivity (control systems)PhotocathodePixelDiodeComputer scienceOpticsElectronic engineeringTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

A special CdZnTe (CZT) device on THM grown crystal has been developed. The device has different work function metals on opposite electrodes yet operates at room temperature like a conventional back-to-back symmetric MSM detector and not a one directional Schottky diode device. Aiming at creating a big breakthrough in CZT imaging device technology, the special CZT device presented in this study is capable of increasing the photopeak count by up to 50% compared to conventional CZT imaging device while maintaining good room temperature energy resolution by not significantly trading off detector leakage current. Pixel pad size and interpixel gap on a 20x20x5 mm3, 8x8 pixel pattern that result in optimum detector efficiency and interpixel resistance are presented. Sensitivity improvement impact on other device configuration will also be discussed. The design is highly practical, reliable and suitable for mass production.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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

Citations24
Published2009
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicAdvanced Semiconductor Detectors and MaterialsFrench-language works237,207