Search for Violation of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>C</mml:mi><mml:mi>P</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math>and Lorentz Invariance in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msubsup><mml:mi>B</mml:mi><mml:mi>s</mml:mi><mml:mn>0</mml:mn></mml:msubsup></mml:math>Meson Oscillations
Bibliographic record
Abstract
We present the first search for $CPT$-violating effects in the mixing of ${B}_{s}^{0}$ mesons using the full Run II data set with an integrated luminosity of $10.4\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of proton-antiproton collisions collected using the D0 detector at the Fermilab Tevatron Collider. We measure the $CPT$-violating asymmetry in the decay ${B}_{s}^{0}\ensuremath{\rightarrow}{\ensuremath{\mu}}^{\ifmmode\pm\else\textpm\fi{}}{D}_{s}^{\ifmmode\pm\else\textpm\fi{}}$ as a function of celestial direction and sidereal phase. We find no evidence for $CPT$-violating effects and place limits on the direction and magnitude of flavor-dependent $CPT$- and Lorentz-invariance violating coupling coefficients. We find 95% confidence intervals of $\mathrm{\ensuremath{\Delta}}{a}_{\ensuremath{\perp}}<1.2\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}12}\text{ }\text{ }\mathrm{GeV}$ and $(\ensuremath{-}0.8<\mathrm{\ensuremath{\Delta}}{a}_{T}\ensuremath{-}0.396\mathrm{\ensuremath{\Delta}}{a}_{Z}<3.9)\ifmmode\times\else\texttimes\fi{}1{0}^{\ensuremath{-}13}\text{ }\text{ }\mathrm{GeV}$.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".