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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.001 | 0.006 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.090 | 0.006 |
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; both teacher heads agree on what is shown here.
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".