Revisiting TL: Dose measurement beyond the OSL range using SAR
Bibliographic record
Abstract
We show here that isothermal TL (ITL) at 310 and 320°C can be used to extend the luminescence dating range in quartz. These signals have markedly different behaviour than the OSL signal with respect to dose response and bleaching efficiency using blue light; this suggests that the 325°C TL peak, from which these signals are likely to be derived, perhaps, consists of traps with very different optical depths and saturation characteristics. The feldspar IRSL signal (blue emission) shows significant dose under-estimation on account of fading. This problem is partly circumvented by measurements using blue ITL at 310°C. The red ITL signal at 310°C does not show dose underestimates. A firm conclusion as to whether this signal fades or not can, however, only be made with a better understanding of sensitivity changes during the red ITL measurement of the natural signal. Both blue and red ITL signals in feldspars perhaps use the same trap. The fading and/or sensitivity changes, therefore, relate to the recombination centre. On account of the high dose at which saturation appears, the ITL signal from quartz at 310 and 320°C is the best candidate for extending the dose range up to 1.4 kGy in samples from the southern Indo-Gangetic plains.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".