α-cluster structure of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mmultiscripts><mml:mi>Ne</mml:mi><mml:mprescripts/><mml:none/><mml:mn>18</mml:mn></mml:mmultiscripts></mml:math>
Bibliographic record
Abstract
In this paper, we study \ensuremath{\alpha} clustering in $^{18}\mathrm{Ne}$ and compare it with what is known about clustering in the mirror nucleus $^{18}\mathrm{O}$. The excitation function for $^{14}\mathrm{O}+\ensuremath{\alpha}$ resonant elastic scattering was measured in inverse kinematics using the Texas active target detector system (TexAT). The data cover the excitation-energy range from 8 to 17 MeV. The analysis was performed using a multichannel $R$-matrix approach. The detailed spectroscopic information is obtained from the $R$-matrix analysis: excitation energy of the states, spin, and parity as well as partial \ensuremath{\alpha} and total widths. This information is compared with theoretical models and previous data. Correspondence between the levels in $^{18}\mathrm{O}$ and $^{18}\mathrm{Ne}$ is established. We carried out an extensive shell-model analysis of the $^{18}\mathrm{O}$ and $^{18}\mathrm{Ne}$ mirror pair. The agreement between theory and experiment is very good and especially useful when it comes to understanding the clustering strength distribution. The comparison of the experimental data with theory shows that certain states especially at high excitation energies are significantly more clustered than predicted. This indicates that the structure of these states is collective and is aligned towards the corresponding \ensuremath{\alpha} reaction channel.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.015 |
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".