Search for the decay modes<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>B</mml:mi><mml:mo mathvariant="bold">±</mml:mo></mml:msup><mml:mo>→</mml:mo><mml:msup><mml:mi>h</mml:mi><mml:mo mathvariant="bold">±</mml:mo></mml:msup><mml:mi>τ</mml:mi><mml:mi>ℓ</mml:mi></mml:math>
Bibliographic record
Abstract
We present a search for the lepton flavor violating decay modes ${B}^{\ifmmode\pm\else\textpm\fi{}}\ensuremath{\rightarrow}{h}^{\ifmmode\pm\else\textpm\fi{}}\ensuremath{\tau}\ensuremath{\ell}$ ($h=K$, $\ensuremath{\pi}$; $\ensuremath{\ell}=e$, $\ensuremath{\mu}$) using the BABAR data sample, which corresponds to $472\ifmmode\times\else\texttimes\fi{}{10}^{6}$ $B\overline{B}$ pairs. The search uses events where one $B$ meson is fully reconstructed in one of several hadronic final states. Using the momenta of the reconstructed $B$, $h$, and $\ensuremath{\ell}$ candidates, we are able to fully determine the $\ensuremath{\tau}$ four-momentum. The resulting $\ensuremath{\tau}$ candidate mass is our main discriminant against combinatorial background. We see no evidence for ${B}^{\ifmmode\pm\else\textpm\fi{}}\ensuremath{\rightarrow}{h}^{\ifmmode\pm\else\textpm\fi{}}\ensuremath{\tau}\ensuremath{\ell}$ decays and set a 90% confidence level upper limit on each branching fraction at the level of a few times ${10}^{\ensuremath{-}5}$.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.010 |
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".