Neutrino masses and gauged U(1)ℓ lepton number
Bibliographic record
Abstract
A bstract We investigate the tree-level neutrino mass generation in the gauged U(1) ℓ lepton model recently proposed by us [1]. With the addition of one Standard Model(SM) singlet, ϕ 1 ( Y = 0 , ℓ = 1), and one SM triplet scalar, T ( Y = −1 , ℓ = 0), realistic lepton masses can be accommodated. The resulting magnitude of neutrino mass is given by ∼ v t 3 / v L 2 , where v t and v L are the vacuum expectation values of T and ϕ 1 , respectively, and it is automatically of the inverse see-saw type. Since v L is the lepton number violation scale we take it to be high, i.e. O ≳ (TeV). Moreover, the induced lepton flavor violating processes and the phenomenology of the peculiar triplet are studied. An interesting bound, 0 . 1 ≲ v t ≲ 24 . 1 GeV, is obtained when taking into account the neutrino mass generation, Br ( μ → eγ ), and the limits from oblique parameters, Δ S and Δ T . Collider phenomenology of the SM triplets is also discussed.
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How this classification was reachedexpand
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.
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".