Spectroscopy and lifetime measurements in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Te</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>134</mml:mn><mml:mo>,</mml:mo><mml:mn>136</mml:mn><mml:mo>,</mml:mo><mml:mn>138</mml:mn></mml:mrow></mml:mmultiscripts></mml:math> isotopes and implications for the nuclear structure beyond <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn>82</mml:mn></mml:mrow></mml:math>
Bibliographic record
Abstract
We report on spectroscopic information and lifetime measurements of even-even neutron-rich Te isotopes. Excited states were populated in fast-neutron induced fission of $^{238}\mathrm{U}$ at the ALTO facility of IJCLab with the LICORNE neutron source and detected using the hybrid $\ensuremath{\nu}$-ball spectrometer. We provide first results on lifetimes of the ${6}_{1}^{+}$ state in $^{136}\mathrm{Te}$ and the (${6}_{1}^{+}$), (${4}_{1}^{+}$), and (${2}_{1}^{+}$) states in $^{138}\mathrm{Te}$ and discuss the results in the context of large-scale shell-model calculations. The level schemes of $^{136}\mathrm{Te}$ and $^{138}\mathrm{Te}$ are revised in terms of lifetimes of their ${2}_{1}^{+},{4}_{1}^{+}$ states and updated information on the $({4}_{2}^{+})$ state in $^{136}\mathrm{Te}$ is presented. In addition, previously reported data on spectroscopy and lifetimes in $^{134}\mathrm{Te}$ are reexamined. This work provides new insights into the evolution of collectivity for Te isotopes with $N=82,84,86$.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".