Charge Radii of Neutron Deficient<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Fe</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>52</mml:mn><mml:mo>,</mml:mo><mml:mn>53</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>Produced by Projectile Fragmentation
Bibliographic record
Abstract
Bunched-beam collinear laser spectroscopy is performed on neutron deficient $^{52,53}\mathrm{Fe}$ prepared through in-flight separation followed by a gas stopping. This novel scheme is a major step to reach nuclides far from the stability line in laser spectroscopy. Differential mean-square charge radii $\ensuremath{\delta}⟨{r}^{2}⟩$ of $^{52,53}\mathrm{Fe}$ are determined relative to stable $^{56}\mathrm{Fe}$ as $\ensuremath{\delta}⟨{r}^{2}{⟩}^{56,52}=\ensuremath{-}0.034(13)\text{ }\text{ }{\mathrm{fm}}^{2}$ and $\ensuremath{\delta}⟨{r}^{2}{⟩}^{56,53}=\ensuremath{-}0.218(13)\text{ }\text{ }{\mathrm{fm}}^{2}$, respectively, from the isotope shift of atomic hyperfine structures. The multiconfiguration Dirac-Fock method is used to calculate atomic factors to deduce $\ensuremath{\delta}⟨{r}^{2}⟩$. The values of $\ensuremath{\delta}⟨{r}^{2}⟩$ exhibit a minimum at the $N=28$ neutron shell closure. The nuclear density functional theory with Fayans and Skyrme energy density functionals is used to interpret the data. The trend of $\ensuremath{\delta}⟨{r}^{2}⟩$ along the Fe isotopic chain results from an interplay between single-particle shell structure, pairing, and polarization effects and provides important data for understanding the intricate trend in the $\ensuremath{\delta}⟨{r}^{2}⟩$ of closed-shell Ca isotopes.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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".