Search for the Decays B-(s)(0) -> e(+)mu(-) and B-(s)(0) -> e(+)e(-) in CDF Run II
Bibliographic record
Abstract
The authors report results from a search for the lepton flavor violating decays B{sub (s)}{sup 0} {yields} e{sup +}{mu}{sup -}, and the flavor-changing neutral-current decays B{sub (s)}{sup 0} {yields} e{sup +}e{sup -}. The analysis uses data corresponding to 2 fb{sup -1} of integrated luminosity of p{bar p} collisions at {radical}s = 1.96 TeV collected with the upgraded Collider Detector (CDF II) at the Fermilab Tevatron. The observed number of B{sub (s)}{sup 0} candidates is consistent with background expectations. The resulting bayesian upper limits on the branching ratios at 90% credibility level are {Beta}(B{sub s}{sup 0} {yields} e{sup +}{mu}{sup -}) < 2.0 x 10{sup -7}, {Beta}(B{sup 0} {yields} e{sup +}{mu}{sup -}) < 6.4 x 10{sup -8}, {Beta}(B{sub s}{sup 0} {yields} e{sup +}e{sup -}) < 2.8 x 10{sup -7} and {Beta}(B{sup 0} {yields} e{sup +}e{sup -}) < 8.3 x 10{sup -8}. From the limits on {Beta}(B{sub (s)}{sup 0} {yields} e{sup +}{mu}{sup -}), the following lower bounds on the Pati-Salam leptoquark masses are also derived: M{sub LQ}(B{sub s}{sup 0} {yields} e{sup +}{mu}{sup -}) > 47.8 TeV/c{sup 2}, and M{sub LQ}(B{sup 0} {yields} e{sup +}{mu}{sup -}) > 59.3 TeV/c{sup 2}, at 90% credibility level.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".