Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 63 tok/s
Gemini 2.5 Pro 53 tok/s Pro
GPT-5 Medium 32 tok/s Pro
GPT-5 High 33 tok/s Pro
GPT-4o 106 tok/s Pro
Kimi K2 197 tok/s Pro
GPT OSS 120B 440 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Observation of $B^0_s \to K^{*\pm}K^\mp$ and evidence for $B^0_s \to K^{*-}π^+$ decays (1407.7704v2)

Published 29 Jul 2014 in hep-ex

Abstract: Measurements of the branching fractions of $B0_s \to K{*\pm}K\mp$ and $B0_s \to K{*\pm}\pi\mp$ decays are performed using a data sample corresponding to $1.0 \ {\rm fb}{-1}$ of proton-proton collision data collected with the LHCb detector at a centre-of-mass energy of $7\mathrm{\,TeV}$, where the $K{*\pm}$ mesons are reconstructed in the $K0_{\rm S}\pi\pm$ final state. The first observation of the $B0_s \to K{*\pm}K\mp$ decay and the first evidence for the $B0_s \to K{*-}\pi+$ decay are reported with branching fractions \begin{eqnarray} {\cal B}(B0_s \to K{*\pm}K\mp) & = & (12.7\pm1.9\pm1.9) \times 10{-6}, \ {\cal B}(B0_s \to K{*-}\pi+) & = & ~(3.3\pm1.1\pm0.5) \times 10{-6}, \end{eqnarray} where the first uncertainties are statistical and the second are systematic. In addition, an upper limit of ${\cal B}(B0 \to K{*\pm}K\mp) < 0.4 \ (0.5) \times 10{-6}$ is set at $90\,% \ (95\,%)$ confidence level.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube