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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 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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.302 | 0.449 |
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".