Radioactive Ion Beam studies of αp process waiting points in X-Ray Bursts
Bibliographic record
Abstract
The nucleosynthetic flow in type I X-ray Bursts (XRBs) is driven by the triple-α, rp and α, p processes.Several intermediate mass nuclei, 22 Mg, 26 Si, 30 S, and 34 Ar, have been identified as possible candidates for waiting points in XRBs.When such a nucleus is reached, the flow stalls due to a (p, γ)-(γ, p) equilibrium and must await β decay unless the (α, p) reaction is fast enough to break out of the waiting point first.A method to study these α p-process reactions has been developed whereby the time-inverse reaction is studied in inverse kinematics using radioactive ion beams produced by the in-flight method at the Argonne National Laboratory ATLAS facility.These time-inverse reactions have been used to study all four of the α, p process waiting points via the p( 25 Al, 22 Mg)α, p( 29 P, 26 Si)α, p( 33 Cl, 30 S)α, and p( 37 K, 34 Ar)α reactions.The data from these studies have been used to determine rates for 22 Mg(α, p) 25 Al, 26 Si(α, p) 29 P, 30 S(α, p) 33 Cl, and 34 Ar(α, p) 37 K and have also been compared with theoretical calculations.The results and possible implications for nucleosynthesis in XRBs will be discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".