Measurement of the<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:mtext mathvariant="normal">−</mml:mtext><mml:msubsup><mml:mover accent="true"><mml:mi>B</mml:mi><mml:mo>¯</mml:mo></mml:mover><mml:mi>s</mml:mi><mml:mn>0</mml:mn></mml:msubsup></mml:math>Oscillation Frequency
Bibliographic record
Abstract
We present the first precise measurement of the ${B}_{s}^{0}\mathrm{\text{\ensuremath{-}}}{\overline{B}}_{s}^{0}$ oscillation frequency $\ensuremath{\Delta}{m}_{s}$. We use $1\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of data from $p\overline{p}$ collisions at $\sqrt{s}=1.96\text{ }\text{ }\mathrm{TeV}$ collected with the CDF II detector at the Fermilab Tevatron. The sample contains signals of 3600 fully reconstructed hadronic ${B}_{s}$ decays and 37 000 partially reconstructed semileptonic ${B}_{s}$ decays. We measure the probability as a function of proper decay time that the ${B}_{s}$ decays with the same, or opposite, flavor as the flavor at production, and we find a signal consistent with ${B}_{s}^{0}\mathrm{\text{\ensuremath{-}}}{\overline{B}}_{s}^{0}$ oscillations. The probability that random fluctuations could produce a comparable signal is 0.2%. Under the hypothesis that the signal is due to ${B}_{s}^{0}\mathrm{\text{\ensuremath{-}}}{\overline{B}}_{s}^{0}$ oscillations, we measure $\ensuremath{\Delta}{m}_{s}={17.31}_{\ensuremath{-}0.18}^{+0.33}(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}0.07(\mathrm{syst})\text{ }\text{ }{\mathrm{ps}}^{\ensuremath{-}1}$ and determine $|{V}_{td}/{V}_{ts}|={0.208}_{\ensuremath{-}0.002}^{+0.001}(\mathrm{expt}{)}_{\ensuremath{-}0.006}^{+0.008}(\mathrm{theor})$.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.012 |
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".