Cross-shell excited configurations in the structure of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Si</mml:mi><mml:mprescripts/><mml:none/><mml:mn>34</mml:mn></mml:mmultiscripts></mml:math>
Bibliographic record
Abstract
The cross-shell excited states of $^{34}\mathrm{Si}$ have been investigated via $\ensuremath{\beta}$ decays of the ${4}^{\ensuremath{-}}$ ground state and the ${1}^{+}$ isomeric state of $^{34}\mathrm{Al}$. Since the valence protons and valence neutrons occupy different major shells in the ground state as well as the intruder ${1}^{+}$ isomeric state of $^{34}\mathrm{Al}$, intruder levels of $^{34}\mathrm{Si}$ are populated via allowed $\ensuremath{\beta}$ decays. Spin assignments to such intruder levels of $^{34}\mathrm{Si}$ were established through $\ensuremath{\gamma}\text{\ensuremath{-}}\ensuremath{\gamma}$ angular correlation analysis for the negative-parity states with dominant configurations ${(\ensuremath{\nu}{d}_{3/2})}^{\ensuremath{-}1}\ensuremath{\bigotimes}{(\ensuremath{\nu}{f}_{7/2})}^{1}$ as well as the positive-parity states with dominant configurations ${(\ensuremath{\nu}sd)}^{\ensuremath{-}2}\ensuremath{\bigotimes}{(\ensuremath{\nu}{f}_{7/2}{p}_{3/2})}^{2}$. The configurations of such intruder states play crucial roles in our understanding of the $N=20$ shell gap evolution. A configuration interaction model derived from the FSU Hamiltonian was utilized in order to interpret the intruder states in $^{34}\mathrm{Si}$. Shell model interaction derived from a more fundamental theory with the valence space in medium similarity renormalization group method was also employed to interpret the structure of $^{34}\mathrm{Si}$.
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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) | 0.001 | 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) | 0.158 | 0.017 |
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".