Measurement of time-dependent<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>C</mml:mi><mml:mi>P</mml:mi></mml:math>asymmetry in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>B</mml:mi><mml:mn>0</mml:mn></mml:msup><mml:mo>→</mml:mo><mml:msubsup><mml:mi>K</mml:mi><mml:mi>S</mml:mi><mml:mn>0</mml:mn></mml:msubsup><mml:msup><mml:mi>π</mml:mi><mml:mn>0</mml:mn></mml:msup><mml:mi>γ</mml:mi></mml:math>decays
Bibliographic record
Abstract
We measure the time-dependent $CP$ asymmetry in ${B}^{0}\ensuremath{\rightarrow}{K}_{S}^{0}{\ensuremath{\pi}}^{0}\ensuremath{\gamma}$ decays for two regions of ${K}_{S}^{0}\mathrm{\text{\ensuremath{-}}}{\ensuremath{\pi}}^{0}$ invariant mass, $m({K}_{S}^{0}{\ensuremath{\pi}}^{0})$, using the final BABAR data set of $467\ifmmode\times\else\texttimes\fi{}{10}^{6}$ $B\overline{B}$ pairs collected at the PEP-II ${e}^{+}{e}^{\ensuremath{-}}$ collider at SLAC. We find $339\ifmmode\pm\else\textpm\fi{}24$ ${B}^{0}\ensuremath{\rightarrow}{K}^{*0}\ensuremath{\gamma}$ candidates and measure ${S}_{{K}^{*}\ensuremath{\gamma}}=\ensuremath{-}0.03\ifmmode\pm\else\textpm\fi{}0.29\ifmmode\pm\else\textpm\fi{}0.03$ and ${C}_{{K}^{*}\ensuremath{\gamma}}=\ensuremath{-}0.14\ifmmode\pm\else\textpm\fi{}0.16\ifmmode\pm\else\textpm\fi{}0.03$. In the range $1.1<m({K}_{S}^{0}{\ensuremath{\pi}}^{0})<1.8\text{ }\text{ }\mathrm{GeV}/{c}^{2}$ we find $133\ifmmode\pm\else\textpm\fi{}20$ ${B}^{0}\ensuremath{\rightarrow}{K}_{S}^{0}{\ensuremath{\pi}}^{0}\ensuremath{\gamma}$ candidates and measure ${S}_{{K}_{S}^{0}{\ensuremath{\pi}}^{0}\ensuremath{\gamma}}=\ensuremath{-}0.78\ifmmode\pm\else\textpm\fi{}0.59\ifmmode\pm\else\textpm\fi{}0.09$ and ${C}_{{K}_{S}^{0}{\ensuremath{\pi}}^{0}\ensuremath{\gamma}}=\ensuremath{-}0.36\ifmmode\pm\else\textpm\fi{}0.33\ifmmode\pm\else\textpm\fi{}0.04$. The uncertainties are statistical and systematic, respectively.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 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".