Tests of the Standard Model by Means of $$\boldsymbol{\Upsilon}\boldsymbol{(3S)}$$ Meson Decays with the BABAR Detector
Why this work is in the frame
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Bibliographic record
Abstract
The BABAR detector collected a sample of 122 million $$\Upsilon(3S)$$ mesons, corresponding to an integrated luminosity of 28 fb $${}^{-1}$$ , operating the PEP-II $$e^{+}e^{-}$$ collider at a center-of-mass energy of about 10.355 GeV. This sample is the largest ever collected at that energy and provides unique opportunities to test several aspects of the Standard Model. We report on a precision measurement of the ratio $$R_{\tau\mu}^{\Upsilon(3S)}=\frac{BF(\Upsilon(3S)\rightarrow{\tau^{+}\tau^{-}})}{BF(\Upsilon(3S)\rightarrow{\mu^{+}\mu^{-}})}$$ . The result is in agreement with the Standard Model prediction and its uncertainty is almost an order of magnitude smaller than the only previous measurement reported by the CLEO collaboration. We also present a search for the lepton flavour violating decays $$\Upsilon(3S)\rightarrow{e^{\pm}\mu^{\mp}}$$ , unobservable in the SM, but predicted to be enhanced in several new physics extensions.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it