Reversible photochromism of synthetic hackmanites in radiation detection and quantification
Bibliographic record
Abstract
The subject of this thesis is centered on a mineral called hackmanite, also known as photochromic sodalite. It is found naturally in remote, mountainous places in Afghanistan, Pakistan, Greenland, Russia, Canada, and the United States. The natural mineral is costly to extract and – depending on the location – its optical properties and chemical impurities vary arbitrarily. Thus, it is not only more predictable, but also sustainable to synthesize the mineral in a laboratory from traceable reagents that contain known amounts of impurities. The synthesis route used in the experimental section in this work is a solid-state method where the reagents are mixed and heated in an oven at 850 °C and reduced with a hydrogen‒nitrogen gas mixture. The product, hackmanite (Na8Al6Si6O24(Cl,S)2), shows properties including luminescence, persistent luminescence, and reversible photochromism upon exposure to UV, X, gamma, nuclear, or particle radiation. Hackmanite’s photochromism is of particular interest since the coloration from white to pink can be reversed with visible light or heat, and this cycle can be repeated indefinitely. Hackmanite is thus able to react to its surrounding radiation atmosphere, and what makes the property even more interesting is that upon high-energy gamma radiation exposure the material “remembers” the exposure with a change of its color centers. In UV-induced coloration, the mechanism involves an electron transfer from a disulfide anion to a nearby chloride vacancy, which is a defect in the lattice due to the requirement of charge neutrality in the crystal. However, in X-ray- or other highenergy radiation-induced coloration the incident energies are so high that the coloration is caused by core-shell electrons and subsequent holes trapping after thermalization. Due to the nature of the coloration process, hackmanite’s application region spans from the high-energy gamma radiation to UV, however the material can also be used to detect visible light since the bleaching process (electrons returning to disulfide ions from the trap) occurs in the visible wavelength region. This property can be used for taking a photograph, as is shown in this thesis. KEYWORDS: hackmanite, photochromism, radiation detection, dosimetry, photography
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".