Recent MCAS applications on hypernuclei and radiative capture
Bibliographic record
Abstract
In recent years, we have developed a Multi-Channel Algebraic Scattering (MCAS) approach to study low-energy nucleon-nucleus scattering, resonance phenomena, and sub-threshold spectra for medium-light nuclei. We have considered compound nuclei that are stable, or weakly bound, and have also extended the analysis to very unstable systems that are unbound with respect to proton emission, namely, that are beyond the proton drip line. More recent developments concerned the application of the MCAS approach to the analysis of the spectra of two hypernuclear systems, 9 Be and 13 C. We have studied the splitting of the two odd-parity excited levels ( 1 2 − and 3 2 −) at 11 MeV excitation in 13 C, finding that it is driven mainly by the weak -nucleus spin-orbit force. Conversely, the splittings of the 3 2 + and 5 2 + levels in both 9 Be and 13 C originate from couplings to the collective 2+ states of the core nuclei. In both hypernuclei, our MCAS-based calculations suggest that there are additional low-lying resonant states in the -nucleus continua. From the MCAS approach one can extract also the full coupled-channel scattering wavefunction to be used in the calculation of various transition matrix elements. As a first application, we have considered the EM-transition matrix elements for the capture reaction of astrophysical interest: + 3He→ 7Be + .
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".