A ZnO quantum dot radiation dosimeter for high energy radiation measurements
Bibliographic record
Abstract
High energy radiation is extensively used in various medical and industrial applications. An accurate radiation dosimetry is crucial for both radiation treatments as well as the protection of personnel across a wide range of industries, such as medicine, radiation research, space, and nuclear power plants. The unique electrical and optical properties of quantum dot (QD), such as high radiation sensitivity and good radiation resistivity make it a superior sensing material for radiation dosimeters. This paper reports the design, fabrication, and characterization of a radiation dosimeter based on ZnO QDs under 6MV photon ionization beam. To the best of authors' knowledge, this is the first time such QD based dosimetry devices have been made and characterized under MV radiation range. This ZnO QD based radiation dosimeter exhibits a quasi-linear response to photon irradiation dose rates and a very linear response to total doses. Besides, an outstanding repeatability with standard deviation of less than 0.32% was observed for the ZnO QD radiation dosimeter when exposed to cyclic high energy ionization radiation.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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 teacher head, 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".