Systematic Studies Of E0 Transitions In 54,56,58 Fe
Bibliographic record
Abstract
Doubly magic nuclei and their near neighbours serve as an ideal testing ground for the nuclear shell model, and, consequently, enable us to define effective nuclear interactions. Collective states in nuclei near $^{56}$Ni can be attributed to multiparticle-multihole excitations from the $1f_{7/2}$ to the $2p_{3/2}$, $1f_{5/2}$ and $2p_{1/2}$ orbits across the $N$, $Z$ = 28 shell gap. These features are usually associated with shape coexistence. Properties of excited $0^{+}$ states, as well as $E0$ and $E2$ transition strengths are sensitive probes of the underlying nuclear structure. The aim of this work is to identify and characterize excited $0^{+}$ states and corresponding $E0$ transitions in $^{54,56,58}$Fe to search for shape coexistence around the $N$, $Z$ = 28 shell closure. In order to obtain experimental information, $E0$ transitions between the lowest excited $0^{+}$ states and ground states were measured for the stable even-even iron isotopes using the superconducting electron spectrometer ,"Super-e", at the Australian National University. Additional information on angular distributions, angular correlations, and $\gamma - \gamma$ coincidences was obtained with the CAESAR detector array (at ANU) under the same experimental conditions. In order to deduce $E0$ strengths, the experimental data were evaluated with lifetime information from Doppler-shift attenuation measurements following inelastic neutron scattering, carried out at the University of Kentucky.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".