Measurement of B(D-s(+)-> l(+)nu) and the decay constant f(Ds)(+)
Bibliographic record
Abstract
We examine e(+)e(-) -> Ds-Ds*+ and Ds*-Ds+ interactions at 4170 MeV using the CLEO-c detector in order to measure the decay constant fD(s)(+). We use the D-s(+) -> l(+)nu channel, where the l(+) designates either a mu(+) or a tau(+), when the tau(+) -> pi(+), when the tau(+) -> pi(+)(v) over bar .Analyzing both modes independently, we determine B(D-s(+) -> mu(+)nu)=(0.594 +/- 0.066 +/- 0.031)%, and B(D-s(+) ->tau(+)nu)=(8.0 +/- 1.3 +/- 0.4)%. We also analyze them simultaneously to find an effective value of Beff(D-s(+) ->mu(+)nu)=(0.638 +/- 0.059 +/- 0.033)% and extract fD(s)(+)=274 +/- 13 +/- 7 MeV. Combining with our previous determination of B(D+ -> mu(+)nu), we also find the ratio fD(s)(+)/fD(+)=1.23 +/- 0.11 +/- 0.04. We compare to current theoretical estimates. Finally, we find B(D-s(+) -> e(+)nu)< 1.3X10(-4) at 90% confidence 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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".