Influence of high fluence neutron irradiation on forward current of semiconductor detectors
Bibliographic record
Abstract
Forward current-voltage (I-V) characteristics of non-irradiated and irradiated p/sup +/-n-n/sup +/ detectors, at neutron fluences (/spl phi/) up to 10/sup 14/ n/cm/sup 2/, were measured and the obtained data were analyzed. The I/sub f/-V/sub f/ characteristics confirmed the existence of a critical fluences (/spl phi//sub c/>5/spl times/10/sup 11/ n/cm/sup 2/), where abrupt changes in the dependence of forward current on voltage appear. We found that at /spl phi/>/spl phi//sub c/ a similar abrupt drop of the rectification ratio (Rec) appears, but a large reverse voltage could, nevertheless, be applied. The series resistivity (/spl rho/), calculated from the I/sub f/-V/sub f/ characteristics, for both non-irradiated (NI) and irradiated detectors, shows that for NI detectors the resistivity is of the same order of magnitude like that of the silicon bulk (1200 /spl Omega/ cm). The resistivity (/spl rho/) for irradiated devices increases (with increasing values of /spl phi/, of up to 10/sup 14/ n/cm/sup 2/), up to about 4/spl times/10/sup 3/ /spl Omega/ cm. As a result of the increase of /spl rho/ with /spl phi/, the initial p/sup +/-n-n/sup +/ diode becomes a p/sup +/-/spl nu/-n/sup +/ device. This study explains the rather good charge collection efficiency in spite of strongly affected physical properties.
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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 | 0.001 |
| 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 | 0.000 | 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".