Transduction principles of a-Si:H Schottky diode X-ray image sensors
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".