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Record W2141101136 · doi:10.1109/16.877171

Transduction principles of a-Si:H Schottky diode X-ray image sensors

2000· article· en· W2141101136 on OpenAlexaff
Arokia Nathan, Richard Hornsey, Koorosh Aflatooni

Bibliographic record

VenueIEEE Transactions on Electron Devices · 2000
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSchottky diodeMaterials scienceX-ray detectorDetectorSensitivity (control systems)OptoelectronicsImage sensorDiodeAbsorption (acoustics)Schottky barrierFabricationX-rayOpticsPhysicsElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

This paper reports on the operating principles, along with design and fabrication considerations, of a novel direct conversion X-ray image sensor based on Mo/a-Si:H Schottky diodes. The choice of Mo as a Schottky contact follows from its relatively low intrinsic mechanical stress, temperature stability, and relatively large X-ray absorption. Furthermore, it is compatible with the standard a Si:H thin film transistor (TFT) technology. Here, the TFTs are intended for use as switching elements in large area imaging applications. Results of X-ray sensitivity are presented for a broad range of X-ray energies (20-100 keV), along with the influence of various geometric and operating parameters on X-ray sensitivity. The detector shows a linear response with respect to the number of absorbed X-ray photons. Analysis shows that the detector sensitivity reaches its maximum for a Mo layer thickness of around 500 nm at 60 kVp. Measurements, performed in a medical environment, demonstrate the feasibility of the detector for large area medical imaging applications.

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 categoriesMeta-epidemiology (narrow)
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 score0.544
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.009
GPT teacher head0.212
Teacher spread0.203 · 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

Citations9
Published2000
Admission routes1
Has abstractyes

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