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Bibliographic record
Abstract
Calculation of the thermonuclear $^{30}\mathrm{P}$($p$,\ensuremath{\gamma})$^{31}\mathrm{S}$ rate in oxygen-neon nova explosions depends critically upon nuclear structure information for states within \ensuremath{\sim}600 keV of the ${}^{30}\mathrm{P}+p$ threshold in $^{31}\mathrm{S}$. We have studied the $^{31}\mathrm{P}$(${}^{3}\mathrm{He},t$)$^{31}\mathrm{S}$ reaction at 25 MeV using a high-resolution quadrupole-dipole-dipole-dipole magnetic spectrograph. Tritons corresponding to the states ${E}_{x}$($^{31}\mathrm{S}$) \ensuremath{\sim} 6.1--7.1 MeV were observed at ten angles between ${\ensuremath{\theta}}_{\mathrm{lab}}$ $=$ 10\ifmmode^\circ\else\textdegree\fi{} and 55\ifmmode^\circ\else\textdegree\fi{}. States that were only tentatively identified in past studies have been observed unambiguously. For the first time, we have measured and analyzed angular distributions of the $^{31}\mathrm{P}$(${}^{3}\mathrm{He},t$)$^{31}\mathrm{S}$ reaction. We present, also for the first time, a consistent set of experimental spin constraints for all except one of the critical proton-threshold states in $^{31}\mathrm{S}$. Hydrodynamic nova simulations have been calculated in order to assess the impact on nova nucleosynthesis of remaining uncertainties in ${J}^{\ensuremath{\pi}}$ values of $^{31}\mathrm{S}$ states and the unknown relevant proton spectroscopic factors. We find that these uncertainties may lead to a factor of up to 20 variation in the $^{30}\mathrm{P}$($p$,\ensuremath{\gamma})$^{31}\mathrm{S}$ rate over typical nova peak temperatures, which may then lead to a factor of up to 4 variation in the nova yields of Si-Ar isotopes.
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How this classification was reachedexpand
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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.007 | 0.011 |
| Meta-epidemiology (broad) | 0.003 | 0.011 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.013 | 0.014 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.168 | 0.012 |
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; both teacher heads agree on what is shown here.
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".