<i>Ab Initio</i>Description of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>p</mml:mi></mml:math>-Shell Hypernuclei
Why this work is in the frame
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Bibliographic record
Abstract
We present the first ab initio calculations for $p$-shell single-$\mathrm{\ensuremath{\Lambda}}$ hypernuclei. For the solution of the many-baryon problem, we develop two variants of the no-core shell model with explicit $\mathrm{\ensuremath{\Lambda}}$ and ${\mathrm{\ensuremath{\Sigma}}}^{+},{\mathrm{\ensuremath{\Sigma}}}^{0},{\mathrm{\ensuremath{\Sigma}}}^{\ensuremath{-}}$ hyperons including $\mathrm{\ensuremath{\Lambda}}\text{\ensuremath{-}}\mathrm{\ensuremath{\Sigma}}$ conversion, optionally supplemented by a similarity renormalization group transformation to accelerate model-space convergence. In addition to state-of-the-art chiral two- and three-nucleon interactions, we use leading-order chiral hyperon-nucleon interactions and a recent meson-exchange hyperon-nucleon interaction. We validate the approach for $s$-shell hypernuclei and apply it to $p$-shell hypernuclei, in particular to $_{\mathrm{\ensuremath{\Lambda}}}^{7}\mathrm{Li}$, $_{\mathrm{\ensuremath{\Lambda}}}^{9}\mathrm{Be}$, and $_{\mathrm{\ensuremath{\Lambda}}}^{13}\mathrm{C}$. We show that the chiral hyperon-nucleon interactions provide ground-state and excitation energies that generally agree with experiment within the cutoff dependence. At the same time we demonstrate that hypernuclear spectroscopy provides tight constraints on the hyperon-nucleon interactions.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it