Implications of the Dirac CP phase upon parametric resonance for sub-GeV neutrinos
Bibliographic record
Abstract
We perform an analytic and numerical study of parametric resonance in a three-neutrino framework for sub-GeV neutrinos which travel through a periodic density profile. Commensurate with the initial level of approximation, we develop a parametric resonance condition similar to the exact condition for two-neutrino systems. For a castle-wall density profile, the νe→νμ oscillation probability is enhanced significantly and bounded by cos2θ23. The CP phase δ enters into the oscillation probability as a phase shift. For several cases, we examine the interplay between the characteristics of the castle-wall profile and the CP phase and determine which profiles maximize the separation between oscillations with δ=0,±π2,π. We also consider neutrinos which travel along a chord through the Earth, passing from the mantle to core and back to mantle again. Significant enhancement of the oscillation probability is seen even in the case in which the neutrino energy is far from the MSW resonant energies. At 500 GeV, the difference between oscillation probabilities with δ=0 and δ=π2 is maximized.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".