Detailed spectroscopy of doubly magic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Sn</mml:mi><mml:mprescripts/><mml:none/><mml:mn>132</mml:mn></mml:mmultiscripts></mml:math>
Bibliographic record
Abstract
The structure of the doubly magic $_{50}^{132}\mathrm{Sn}_{82}$ has been investigated at the ISOLDE facility at CERN, populated both by the ${\ensuremath{\beta}}^{\ensuremath{-}}\phantom{\rule{0.28em}{0ex}}\mathrm{decay}$ of $^{132}\mathrm{In}$ and ${\ensuremath{\beta}}^{\ensuremath{-}}$-delayed neutron emission of $^{133}\mathrm{In}$. The level scheme of $^{132}\mathrm{Sn}$ is greatly expanded with the addition of 68 $\ensuremath{\gamma}$ transitions and 17 levels observed for the first time in the $\ensuremath{\beta}$ decay. The information on the excited structure is completed by new $\ensuremath{\gamma}$ transitions and states populated in the $\ensuremath{\beta}\text{\ensuremath{-}}n$ decay of $^{133}\mathrm{In}$. Improved delayed neutron emission probabilities are obtained both for $^{132}\mathrm{In}$ and $^{133}\mathrm{In}$. Level lifetimes are measured via the advanced time-delayed $\ensuremath{\beta}\ensuremath{\gamma}\ensuremath{\gamma}$(t) fast-timing method. An interpretation of the level structure is given based on the experimental findings and the particle-hole configurations arising from core excitations both from the $N$ = 82 and $Z$ = 50 shells, leading to positive- and negative-parity particle-hole multiplets. The experimental information provides new data to challenge the theoretical description of $^{132}\mathrm{Sn}$.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".