Abstract

Measurements are reported of the WZ and ZZ production cross sections in proton-proton collisions at sqrt{s} = 8 ,text {TeV} in final states where one Z boson decays to b-tagged jets. The other gauge boson, either W or Z, is detected through its leptonic decay (either mathrm {W}rightarrow mathrm {e}nu , mathrm {mu }nu or mathrm {Z}rightarrow mathrm {e}^+mathrm {e}^-, mathrm {mu ^+}mathrm {mu ^-}, or {nu }overline{nu }). The results are based on data corresponding to an integrated luminosity of 18.9 fb^{-1} collected with the CMS detector at the Large Hadron Collider. The measured cross sections, sigma (mathrm {p}mathrm {p}rightarrow mathrm {W}mathrm {Z}) = 30.7 pm 9.3,text {(stat.)} pm 7.1,text {(syst.)} pm 4.1,text {(th.)} pm 1.0,text {(lum.)} ,text {pb} and sigma (mathrm {p}mathrm {p}rightarrow mathrm {Z}mathrm {Z}) = 6.5 pm 1.7,text {(stat.)} pm 1.0,text {(syst.)} pm 0.9,text {(th.)} pm 0.2,text {(lum.)} ,text {pb} , are consistent with next-to-leading order quantum chromodynamics calculations.

Highlights

  • The study of WZ and ZZ diboson production in proton-proton collisions provides an important test of the√gauge sector of the standard model (SM)

  • A set of simultaneous fits is performed to distributions of discriminating variables in the calibration regions, separately for each channel, to obtain consistent scale factors that are used to adjust the yields from simulated events

  • Uncertainties in the scale factors include statistical components arising from the fits to the discriminant, and systematic uncertainties originating from b tagging, jet energy scale, and jet energy resolution

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Summary

Introduction

The study of WZ and ZZ (referred to collectively as VZ) diboson production in proton-proton collisions provides an important test of the√gauge sector of the standard model (SM). The CMS combined secondary-vertex (CSV) b-tagging algorithm [18] is used to identify jets that are likely to originate from the hadronization of b quarks. Beyond the standard CMS jet energy corrections, is derived from simulated events to recalibrate each b-tagged jet with the generated b quark energy. This involves a specialized boosted decision tree (BDT) [20,21] trained on simulated signal events, with inputs that include information on jet structure, such as information about individual tracks, jet constituents, information on semileptonic b-hadron decays, and the presence of any low- pT leptons. Page 3 of 22 2973 using data using a tag and probe technique [34], and applied as individual weights to each of the simulated events

Event selection
Multivariate analysis
Two-jet mass analysis
Background calibration regions and systematic uncertainties
Results
Summary
Full Text
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