Pre-Irradiation Influence on Proton Radioluminescence Responses of Sol-Gel Optical Fibers
Bibliographic record
Abstract
We measured the radiation induced luminescence (RIL) of sol-gel made silica-based optical fibers under protons with energy varying between ~27 and 63 MeV. We compared simultaneously the responses of a pristine (i.e., not irradiated) sample and one pre-irradiated under X-rays up to 250 kGy of the different fiber types (cerium, copper, and cerium/terbium co-doped fibers). The obtained results highlight better performances for pre-irradiated samples, thanks to the progressive deep trap filling and reduction of the bright burn effect (BBE). The dose deposited by the protons and the dose rate range within the fiber-sensitive volumes are obtained through Monte Carlo simulations. We observed good linearity of the RIL versus the dose rate in the 1.5–12-Gy(SiO2)/s range and for the different tested proton energies. In particular, no energy dependence is noticed regarding the RIL, within a 5% maximum. All of these characteristics are especially important for proton therapy, where the linear energy transfer changes along the Bragg peak during the tumor treatment. Sol-gel silica-based optical fibers constitute promising solutions for proton flux (or dose rate) monitoring during treatments, providing high spatial resolution.
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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) | 0.001 | 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 | 0.000 | 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 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".