A particle-gamma coincidence study of <sup>26</sup>Na using the transfer reaction <sup>25</sup>Na(d,p gamma) <sup>26</sup>Na
Bibliographic record
Abstract
In this thesis, the radioactive beam (RIB) 25Na at 5 MeV/u with an intensity of up to 3 times 107 pps is exploited to study states in 26Na using a 0.5 mg/cm2 \ndeuterated polyethylene (CD2) target via the highly selective (d,p gamma) transfer reaction. The reaction products are recorded by using both SHARC (the Silicon Highly-segmented Array for Reactions and Coulex) and TIGRESS (The TRIUMF-ISAC Gamma-Ray Escape-Suppressed Spectrometer). The SHARC array is installed at the ISAC-2 facility in TRIUMF (Canada) to study a variety of reactions, but single-particle transfer with a radioactive ion beam is the reaction mechanism of interest here. This experimental study was the first radioactive beam experiment \nmaking use of the TIGRESS/SHARC detector set-up in 2009. This work significantly extends an earlier analysis. \n \n The motivation of this work is to combine the information extracted from the particle and the gamma detection in 25Na(d,p gamma) 26Na reaction data to compare the experimentally \nobserved results and the shell model predictions. A total of 24 states were studied, of which 10 had not been reported previously, and detailed new information was extracted for most of these. \nProperties measured and discussed include: \n(1) the observed gamma-ray decay branching ratios, \n(2) the observed spectroscopic factors (population strength) in the (d,p) reaction, \n(3) the observed angular momentum transfer in the (d,p) reaction, \n(4) a comparison between experimental and the predicted excitation energies from shell model calculations, \n(5) spin assignments based on the predicted reaction strengths and observed gamma-ray decay scheme, and \n(6) analogies with the experimentally observed gamma-decay properties of the isotone 28Al. \nAn extra new feature of this work, for the important interpretation of similar future experiments, is a detailed study of the gamma-ray angular distributions and their dependence upon the scattered \nproton angles in (d,p).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".