Study of Astrophysically Important Resonant States in 30 S Using the 32 S(p,t) 30 S Reaction
Bibliographic record
Abstract
A small fraction (< 1%) of presolar SiC grains is suggested to have been formed in the ejecta of classical novae. The 29 P(p,γ) 30 S reaction plays an important role in understanding the Si isotopic abundances in such grains, which in turn provide us with information on the nature of the probable white dwarf progenitor’s core, as well as the peak temperatures achieved during nova outbursts. This rate is determined by two low-lying 3 + and 2 + resonances above the proton threshold in 30 S at 4399 keV. Despite several experimental studies in the past however, the 3 resonance has PoS(NIC X)161 only been recently observed in one experiment and no definitive evidence for the 2 + state has been published yet. We have studied the 30S nuclear structure via the 32S(p,t) 30S reaction at 5 laboratory angles between 9 ◦ to 62 ◦. We have observed between 8 to 14 states above the proton threshold including two levels at 4695.5 ± 3.5 keV and 4814.9 ± 3.5 keV that are candidates for the 3 + and previously “missing ” 2 + state, respectively. 10th Symposium on Nuclei in the Cosmos
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".