<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>T</mml:mi></mml:math>-violating triple-product correlations in hadronic<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>b</mml:mi></mml:math>decays
Bibliographic record
Abstract
We study T-violating triple-product asymmetries in the quark-level decay $\stackrel{\ensuremath{\rightarrow}}{b}\mathrm{su}\ifmmode \bar{u}\else \={u}\fi{}$ within the standard model (SM). We find that only two types of triple products are non-negligible. First, the asymmetry in ${p}_{u}\ensuremath{\cdot}({s}_{u}\ifmmode\times\else\texttimes\fi{}{s}_{\ifmmode \bar{u}\else \={u}\fi{}})$ or ${p}_{\ifmmode \bar{u}\else \={u}\fi{}}\ensuremath{\cdot}({s}_{u}\ifmmode\times\else\texttimes\fi{}{s}_{\ifmmode \bar{u}\else \={u}\fi{}})$ can be as large as about $5%.$ It can be probed in $\stackrel{\ensuremath{\rightarrow}}{B}{V}_{1}{V}_{2}$ decays, where ${V}_{1}$ and ${V}_{2}$ are vector mesons. Second, the asymmetry in ${s}_{b}\ensuremath{\cdot}({p}_{u}\ifmmode\times\else\texttimes\fi{}{p}_{s})$ can be in the range 1--3 %. One can search for this signal in decays such as ${\ensuremath{\Lambda}}_{b}\ensuremath{\rightarrow}\ensuremath{\Lambda}{\ensuremath{\pi}}^{+}{\ensuremath{\pi}}^{\ensuremath{-}}.$ All other triple-product asymmetries are expected to be small within the SM. This gives us new methods of searching for new physics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".