Abstract

A search is presented for three additional operators that would lead to anomalous WWγ or WWZ couplings with respect to those in the standard model. They are constrained by studying events with two vector bosons; a W boson decaying to eν or μν, and a W or Z boson decaying hadronically, reconstructed as a single, massive, large- radius jet. The search uses a data set of proton-proton collisions at a centre-of-mass energy of 13 TeV, recorded by the CMS experiment at the CERN LHC in 2016, and corresponding to an integrated luminosity of 35.9 fb−1. Using the reconstructed diboson invariant mass, 95% confidence intervals are obtained for the anomalous coupling parameters of −1.58 < cWWW/Λ2< 1.59 TeV−2, −2.00 < cW/Λ2< 2.65 TeV−2, and −8.78 < cB/Λ2< 8.54 TeV−2, in agreement with standard model expectations of zero for each parameter. These are the strictest bounds on these parameters to date.

Highlights

  • Background modellingThere are two major contributions to the SM background (W+jets, and tt), and two minor contributions

  • We set limits on the anomalous TGCs (aTGCs) using the data in the signal region and the background estimates

  • Limits are set at 95% confidence level (CL) using a simultaneous unbinned maximum likelihood fit of the twodimensional distributions in both the electron and muon channels

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Summary

The CMS detector

The central feature of the CMS apparatus is a superconducting solenoid of 6 m internal diameter, providing a magnetic field of 3.8 T. Forward calorimeters extend the pseudorapidity (η) coverage provided by the barrel and endcap detectors. Events of interest are selected using a two-tiered trigger system [30]. The first level, composed of custom hardware processors, uses information from the calorimeters and muon detectors to select events at a rate of around 100 kHz within a time interval of less than 4 μs. The second level, known as the high-level trigger, consists of a farm of processors running a version of the full event reconstruction software optimized for fast processing, and reduces the event rate to around 1 kHz before data storage. A more detailed description of the CMS detector, together with a definition of the coordinate system used and the relevant kinematic variables, can be found in ref. [31]

Data and simulated samples
Object reconstruction and event selection
Signal modelling
Background modelling
Systematic uncertainties
Results
Summary
Full Text
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