The influence of radiation trapping on spectra and measured lifetimes of<sup>4</sup>F<inf>9/2</inf> -<sup>4</sup>I<inf>15/2</inf>,<sup>4</sup>I<inf>9/2</inf> -<sup>4</sup>I<inf>15/2</inf>,<sup>4</sup>I<inf>11/2</inf> -<sup>4</sup>I<inf>15/2</inf> and<sup>4</sup>I13/2 -<sup>4</sup>I<inf>15/2</inf> emission bands in GeGaS glasses doped with erbium
Bibliographic record
Abstract
Behind the effect of radiation trapping, also known as radiation diffusion, is a series the sequential emissions and absorptions of radiation by participating atoms or ions. This effect is widely observed in glasses doped with Er3+ions where there is a significant spectral overlap of4I15/2-4I13/2absorbing and emissive interband transitions. This effect is known to be responsible for remarkably different characteristics of photoluminescence in bulk and powdered materials such as photoluminescence (PL) decay rate and PL spectra. It is worth noting that all above mentioned results refer to4I13/2and4I15/2manifolds. In the present paper we discuss the observed experimental data and report a Monte-Carlo model that allows us to simulate the observed effects of radiation trapping in4F9/2-4I15/2,4I9/2-4I15/2and4I11/2-4I15/2emission/absorption bands.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".