Studies on muonic dynamics of liquid DTH in dtμ muonic-molecule resonance formation and its comparison with a DT system
Bibliographic record
Abstract
Recent experimental and theoretical studies on muon-catalyzed fusion in a mixture of three gases, DTH, have shown that the muon-cycling-rate changes obtained are mostly in contradiction with each other and depend strongly on the physical conditions of the system. In this paper, we have considered the muon-cycling rate and its relevant nonlinear dynamical equations for mixtures of DT and DTH in practical conditions where the muon-cycling rate is temperature; density of the mixture; and relative-particle concentration (deuterium, tritium, and hydrogen) dependent. Our theoretical method has shown that addition of protium to a DT mixture leads to a significant decrease in the cycling rate, namely, by a factor of more than 15 in the liquid mixture and more than three in the gaseous mixture at 300600 K. We show that the results obtained for given experimental conditions are in very good agreement with recent experimental values of Joint Institute for Nuclear Research in Dubna. The given reliable theoretical method leads us to determine the optimal condition of the muon-cycling rate such as relative-particle concentration in the resonance-temperature range at liquid hydrogen density, Φ = 1. It is shown that for a deuterium and tritium relative concentration of C d = C t = 0.45 with C p = 0.1 and ω s = 0.0029, a muon-cycling rate of 199 in the dtμ branch at 800 K is achievable, which compared to the DT system in optimal conditions, still has a 29% enhancement. Finally, by energy-gain evaluation of resonance-muon-catalyzed fusion, we show that even this key step in high-yield μCF is far, far away from sufficiently minimal values to be of interest for practical applications of such a system. PACS No.: 25.30M
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, not a consensus.
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