Cross-section measurements of the N14(α,p)O17 and N14(α,α)N14 reactions between 3.5 and 6 MeV
Bibliographic record
Abstract
The cross-section of the N14(α,p0)O17 reaction at angles of 90°, 135°, and 165° was measured for incident energies between 3.5 and 6.0 MeV simultaneously with the cross-section of the N14(α,α)N14 reaction at 165°. Interference between these two reactions at the angle of 165° and around 3.9 MeV was taken into account. The technique used is very powerful, thanks to the Ta450 nm/C target being implanted with a high dose of nitrogen. The N14(α,p0)O17 reaction exhibits some resonances allowing traces of nitrogen to be quantified. This reaction also offers an alternative to the N14(d,α)C12 and N14(H3e,p)O16 nuclear reactions for profiling nitrogen in the first few microns below the surface. Moreover, by using α-particles, Rutherford backscattering spectroscopy can be performed simultaneously with a good mass resolution to depth profile high Z elements in the sample. The sensitivity of these reactions (0.1%) has been tested by measuring the nitrogen traces in a titanium oxide film deposited on silicon. Depth profiling of nitrogen in a TiN layer on a silicon substrate was also performed. In addition, we publish for the first time some cross-sections values for the N14(α,p1)O17 reaction at 90° and 165°; this measurement is a challenging task.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".