New physics in multi-electron muon decays
Bibliographic record
Abstract
A bstract We study the exotic muon decays with five charged tracks in the final state. First, we investigate the Standard Model rate for μ + → 3 e + 2 e − 2 ν ( $$ \mathcal{B} $$ B = 4 . 0 × 10 − 10 ) and find that the Mu3e experiment should have tens to hundreds of signal events per 10 15 μ + decays, depending on the signal selection strategy. We then turn to a neutrinoless μ + → 3 e + 2 e − decay that may arise in new-physics models with lepton-flavor-violating effective operators involving a dark Higgs h d . Following its production in μ + → e + h d decays, the dark Higgs can undergo a decay cascade to two e + e − pairs through two dark photons, h d → γ d γ d → 2( e + e − ). We show that a μ + → 3 e + 2 e − search at the Mu3e experiment, with potential sensitivity to the branching ratio at the $$ \mathcal{O} $$ O (10 − 12 ) level or below, can explore new regions of parameter space and new physics scales as high as Λ ∼ 10 15 GeV.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| 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".