Final-state probability distribution for atomic fragments arising in the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mmultiscripts><mml:mtext>H</mml:mtext><mml:mprescripts/><mml:none/><mml:mn>3</mml:mn></mml:mmultiscripts><mml:mtext>e</mml:mtext><mml:mo>,</mml:mo><mml:mi>n</mml:mi><mml:mo>;</mml:mo><mml:mi>p</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math>reaction with slow neutrons
Why this work is in the frame
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Bibliographic record
Abstract
Final-state probabilities are determined for different atomic fragments arising in the $(^{3}\text{H}\text{e},n;p,t)$ reactions with slow neutrons. We consider the $(^{3}\text{H}\text{e},n;p,t)$ reactions in the one-electron ${^{3}\text{H}\text{e}}^{+}$ ion and in the two-electron $^{3}\text{H}\text{e}$ atom. It is shown that highly exothermic nuclear reactions in light nuclei can be used as a very effective tool to study the electron-density distribution in light atoms and its redistribution during such reactions. The idea of bremsstrahlung amplifiers based on the $(n,Q;{q}_{1},{q}_{2})$ reactions in accelerated many-electron ions is proposed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.007 |
| Meta-epidemiology (broad) | 0.002 | 0.007 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.127 | 0.005 |
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 it