Abstract

The angular distributions and the differential branching fraction of the decay B0→K⁎(892)0μ+μ− are studied using data corresponding to an integrated luminosity of 20.5 fb−1 collected with the CMS detector at the LHC in pp collisions at s=8 TeV. From 1430 signal decays, the forward–backward asymmetry of the muons, the K⁎(892)0 longitudinal polarization fraction, and the differential branching fraction are determined as a function of the dimuon invariant mass squared. The measurements are among the most precise to date and are in good agreement with standard model predictions.

Highlights

  • Phenomena beyond the standard model (SM) of particle physics can manifest themselves directly, via the production of new particles, or indirectly, by affecting the production and decay of SM particles

  • Analyses of flavor-changing neutral current (FCNC) decays are sensitive to the effect of new physics, since such decays are highly suppressed in the SM

  • In this Letter, we present measurements of AFB, FL, and the differential branching fraction dB/dq2 from B0 → K∗0μ+μ− decays, using data collected from pp collisions at the CERN LHC by the CMS experiment at a center-of-mass energy of 8 TeV

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Summary

Introduction

Phenomena beyond the standard model (SM) of particle physics can manifest themselves directly, via the production of new particles, or indirectly, by affecting the production and decay of SM particles. In addition to the branching fraction, other properties of the decay can be measured, including the forward–backward asymmetry of the muons, AFB, and the longitudinal polarization fraction of the K∗0, FL. To better understand this decay, these quantities can be measured as a function of the dimuon invariant mass squared (q2). The q2 bins 8.68 < q2 < 10.09 GeV2 and 12.90 < q2 < 14.18 GeV2, corresponding to the B0 → J/ψ K∗0 and B0 → ψ K∗0 decays (ψ refers to the ψ(2S)), respectively, are used to validate the analysis The former is used to normalize the differential branching fraction

CMS detector
Analysis method
Systematic uncertainties
Results
Summary
Krofcheck
Bylinkin
Grynyov
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