Photoluminescence measurements of Er-doped chalcogenide glasses
Bibliographic record
Abstract
We have investigated the photoluminescence (PL) emission spectra, photoluminescence lifetimes, and relative photoluminescence intensities of various Er-doped chalcogenide glass alloys, designed for possible use in optical waveguide amplifier applications at the telecommunications wavelength of 1550 nm. Bulk samples were prepared using melt-quenching techniques, and the samples were doped with varying amounts of Er2S3 or ErCl3, in the range of 0.3−3 at. %. Using a 980 nm pump beam, we measured the lifetime of the 1550 nm (4I13/2 to I15/24) luminescence and PL spectra. For two of the alloys, the luminescence efficiency as a function of erbium concentration was observed by scaling the luminescence intensity by the weight of each sample. For GaGeS, the luminescence lifetime exhibited quenching at concentrations of erbium greater than 1 at. %, but for GaGeSe, this behavior was not observed for concentrations as high as 3 at. %. However, the photoluminescence efficiency measurements for both glasses showed quenching at concentrations greater than 1 at. % Er. We attribute these results to ion–ion interactions, and comment on their effect on these alloys in regards to their use in waveguide amplifiers.
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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 | 0.000 |
| 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".