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A Radiation-Hardened Wide Spectral Response 4T CMOS Image Sensor Pixel Employing a Through-Silicon Via based Photodetector

2021· article· en· W3162809731 on OpenAlexaff
Abdollah Pil-Ali, Razieh Khalili, S. Mohammad Reza Safaee, Mohammad Azim Karami

Bibliographic record

Venue2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) · 2021
Typearticle
Languageen
FieldEngineering
TopicCCD and CMOS Imaging Sensors
Canadian institutionsMcGill UniversityUniversity of Waterloo
Fundersnot available
KeywordsPhotodetectorPixelCMOSDark currentImage sensorOptoelectronicsPhotodiodeMaterials scienceCMOS sensorPhysicsOptics

Abstract

fetched live from OpenAlex

A novel radiation-hardened 4-transistor (4T) complementary metal-oxide-semiconductor (CMOS) image sensor pixel is proposed, employing a through-silicon-via (TSV) based metal-semiconductor-metal (MSM) photodetector as the photosensitive element. The presented pixel structure is designed and simulated in 0.18 μm CMOS technology. It is shown that deploying the TSV-based MSM photodetector decreases the pixel sensitive area to 3 μm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> compared to conventional planar MSM ones, and enhances both the lower and higher wavelengths of the spectral response characteristic of the pixel as well. The designed pixel has a 2.75 μm radius circular structure, the dark current of 77 fA at 1 V reverse bias (at room temperature), a conversion gain of 116 μV.e <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup> , a dynamic range of 58.62 dB, and an approximately linear spectral response in the range of 300 to 800 nm wavelengths of the incident light spectrum. The proposed pixel structure, enabled with a p+ guard ring, also demonstrates insignificant dark current degradation under gamma ray radiation of up to 1 Mrad.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.244
Teacher spread0.233 · 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.

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
Published2021
Admission routes1
Has abstractyes

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